At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us. Data Engineering is responsible for the development and delivery of our most important asset—our data. With thousands of data sources from around the world, the team ensures that data is accurate, normalized, and delivered at a velocity that keeps up with real-world changes. As we expand our markets and the scope of data we provide to our customers, our team must scale to meet that demand. What You'll Do At H1 We’re looking for a seasoned Senior Data Engineer who is operating at a high level and is either ready or nearly ready to step into a Staff-level individual contributor role. You will take ownership of designing and scaling the systems and pipelines that power H1’s data platform. You will work cross-functionally with other engineers, product managers, and stakeholders to deliver high-performance, reliable, and maintainable data solutions. This is an opportunity to play a key role in shaping the future of our data infrastructure while mentoring others and driving best practices. You will: Design, develop, and maintain scalable data extraction frameworks that ingest structured and unstructured data from diverse sources. Build and optimize robust ETL/ELT pipelines using big data technologies, especially Apache Spark on cloud platforms (preferably AWS EMR). Improve the efficiency, reliability, and performance of data processing systems through thoughtful design and continuous optimization. Transform, clean, and normalize complex datasets for downstream use, ensuring high standards of data quality and consistency. Partner with senior engineers to evolve H1’s data architecture and infrastructure in support of product and platform scalability. Lead data integration efforts across multiple systems, ensuring accuracy and seamless collaboration across teams. Monitor and troubleshoot data flows and pipelines, proactively identifying and resolving performance issues. Maintain clear documentation of systems, workflows, and processes to promote transparency and operational excellence. Participate in code reviews and promote a culture of engineering excellence, mentorship, and continuous improvement. Collaborate closely with cross-functional teams to align technical execution with business goals About You You are a seasoned data engineer with a track record of building and maintaining large-scale data systems. You’re excited by the opportunity to work on complex problems, enjoy collaborative work, and are passionate about building high-quality, performant solutions that impact real-world healthcare outcomes. You have an understanding of Large Language Models (LLMs) and their applications. It’s a bonus if you’re familiar with model training and fine-tuning, particularly in NLP (Natural Language Processing) contexts. You possess a basic knowledge of network, security, and encryption protocols such as HTTP/HTTPS/TLS. You’re able to work collaboratively across teams and communicate effectively with both technical and non-technical stakeholders. You have strong analytical and problem-solving skills with a focus on data quality and performance optimization. You have a passion for writing clean, efficient code and following best practices Requirements 6+ years of experience in data engineering, working with large-scale data systems and pipelines. Proficiency in programming languages like Python, Java, or similar languages. Strong SQL skills, including the ability to write optimized complex queries for large datasets using advanced SQL operators such as GROUP BY, HAVING, window functions, and complex joins. Experience with big data tools like Apache Spark, particularly on cloud platforms, with a preference for AWS EMR. Experience with Docker or other containerization technologies. Not meeting all the requirements but still feel like you’d be a great fit? Tell us how you can contribute to our team in a cover letter! H1 OFFERS Full suite of health insurance options, in addition to generous paid time off Pre-planned company-wide wellness holidays Retirement options Health & charitable donation stipends Impactful Business Resource Groups Flexible work hours & the opportunity to work from anywhere The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe Show more Show less
At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us. As a Software Engineer on the search Engineering team you will support and develop the search infrastructure of the company. This involves working with TB’s of data, indexing, ranking and retrieval of medical data to support the search in backend infra. What You'll Do At H1 The Search Engineering team is responsible for developing and maintaining the company's core search infrastructure. Our objective is to enable fast, accurate, and scalable search across terabytes of medical data. This involves building systems for efficient data ingestion, indexing, ranking, and retrieval that power key product features and user experiences. As a Software Engineer on the Search Engineering team, your day typically includes: Working with our search infrastructure – writing and maintaining code that ingests large-scale data in Elasticsearch. Designing and implementing high-performance APIs that serve search use cases with low latency. Building and maintaining end-to-end features using Node.js and GraphQL, ensuring scalability and maintainability. Collaborating with cross-functional teams – including product managers and data engineers to align on technical direction and deliver impactful features to our users. Take ownership of the search codebase–proactively debug, troubleshoot, and resolve issues quickly to ensure stability and performance. Consistently produce simple, elegant designs and write high-quality, maintainable code that can be easily understood and reused by teammates. Demonstrate a strong focus on performance optimization, ensuring systems are fast, efficient, and scalable. Communicate effectively and collaborate across teams in a fast-paced, dynamic environment. Stay up to date with the latest advancements in AI and search technologies, identifying opportunities to integrate cutting-edge capabilities into our platforms. About You You bring strong hands-on technical skills and experience in building robust backend APIs. You thrive on solving complex challenges with innovative, scalable solutions and take pride in maintaining high code quality through thorough testing.You are able to align your work with broader organizational goals and actively contribute to strategic initiatives. You proactively identify risks and propose solutions early in the project lifecycle to avoid downstream issues.You are curious, eager to learn, and excited to grow in a collaborative, high-performing engineering team environment. Requirements 1–2 years of professional experience. Strong programming skills in TypeScript, Node.js, and Python (Mandatory) Practical experience with Docker and Kubernetes Good to have: Big Data technologies (e.g., Scala, Hadoop, PySpark), Golang, GraphQL, Elasticsearch, and LLMs Not meeting all the requirements but still feel like you’d be a great fit? Tell us how you can contribute to our team in a cover letter! H1 OFFERS Full suite of health insurance options, in addition to generous paid time off Pre-planned company-wide wellness holidays Retirement options Health & charitable donation stipends Impactful Business Resource Groups Flexible work hours & the opportunity to work from anywhere The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe
At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us. Data Engineering is responsible for the development and delivery of our most important asset—our data. With thousands of data sources from around the world, the team ensures that data is accurate, normalized, and delivered at a velocity that keeps up with real-world changes. As we expand our markets and the scope of data we provide to our customers, our team must scale to meet that demand. What You'll Do At H1 We’re looking for a seasoned Senior Data Engineer who is operating at a high level and is either ready or nearly ready to step into a Staff-level individual contributor role. You will take ownership of designing and scaling the systems and pipelines that power H1’s data platform. You will work cross-functionally with other engineers, product managers, and stakeholders to deliver high-performance, reliable, and maintainable data solutions. This is an opportunity to play a key role in shaping the future of our data infrastructure while mentoring others and driving best practices. You will: Design, develop, and maintain scalable data extraction frameworks that ingest structured and unstructured data from diverse sources. Build and optimize robust ETL/ELT pipelines using big data technologies, especially Apache Spark on cloud platforms (preferably AWS EMR). Improve the efficiency, reliability, and performance of data processing systems through thoughtful design and continuous optimization. Transform, clean, and normalize complex datasets for downstream use, ensuring high standards of data quality and consistency. Partner with senior engineers to evolve H1’s data architecture and infrastructure in support of product and platform scalability. Lead data integration efforts across multiple systems, ensuring accuracy and seamless collaboration across teams. Monitor and troubleshoot data flows and pipelines, proactively identifying and resolving performance issues. Maintain clear documentation of systems, workflows, and processes to promote transparency and operational excellence. Participate in code reviews and promote a culture of engineering excellence, mentorship, and continuous improvement. Collaborate closely with cross-functional teams to align technical execution with business goals About You You are a seasoned data engineer with a track record of building and maintaining large-scale data systems. You’re excited by the opportunity to work on complex problems, enjoy collaborative work, and are passionate about building high-quality, performant solutions that impact real-world healthcare outcomes. You have an understanding of Large Language Models (LLMs) and their applications. It’s a bonus if you’re familiar with model training and fine-tuning, particularly in NLP (Natural Language Processing) contexts. You possess a basic knowledge of network, security, and encryption protocols such as HTTP/HTTPS/TLS. You’re able to work collaboratively across teams and communicate effectively with both technical and non-technical stakeholders. You have strong analytical and problem-solving skills with a focus on data quality and performance optimization. You have a passion for writing clean, efficient code and following best practices Requirements 6+ years of experience in data engineering, working with large-scale data systems and pipelines. Proficiency in programming languages like Python, Java, or similar languages. Strong SQL skills, including the ability to write optimized complex queries for large datasets using advanced SQL operators such as GROUP BY, HAVING, window functions, and complex joins. Experience with big data tools like Apache Spark, particularly on cloud platforms, with a preference for AWS EMR. Experience with Docker or other containerization technologies. Not meeting all the requirements but still feel like you’d be a great fit? Tell us how you can contribute to our team in a cover letter! H1 OFFERS Full suite of health insurance options, in addition to generous paid time off Pre-planned company-wide wellness holidays Retirement options Health & charitable donation stipends Impactful Business Resource Groups Flexible work hours & the opportunity to work from anywhere The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe
At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into actions that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us. The DevOps team is responsible for all aspects of application & infrastructure operations and deployment pipelines for our cloud applications. We are expanding to more countries and offering an expanded catalog of web applications and data-oriented services. What You'll Do At H1 As a Sr.DevOps Engineer at H1, you'll play a key role in scaling and supporting our cloud infrastructure. You'll work closely with engineering and data teams to improve the reliability, visibility, and efficiency of our systems and deployment pipelines. This is a hands-on role focused on automation, enablement, and operational excellence in a fast-paced AWS-based environment. You will: Automate and scale infrastructure provisioning using Infrastructure-as-Code to support self-service for engineering teams Maintain and improve CI/CD pipelines, tooling, and deployment workflows across multiple services Monitor and troubleshoot systems to ensure high availability, performance, and reliability Drive incident response, root cause analysis, and collaborate with teams to resolve infrastructure or deployment issues Optimize cloud infrastructure for performance and cost, leveraging metrics and usage analysis Evaluate and implement new tools and services that improve our DevOps practices and developer experience Collaborate across teams to ensure cloud best practices and knowledge sharing Participate in a light on-call rotation to support infrastructure-related needs About You You’re a hands-on DevOps engineer with a strong background in building and supporting modern cloud infrastructure, particularly within AWS. You’re passionate about automation, reliability, and empowering engineering teams to ship high-quality software quickly and safely. You thrive in fast-paced environments with complex systems and are comfortable working in production environments, driving improvements in performance, observability, and deployment processes. You bring a collaborative mindset and a strong sense of ownership, and you value continuous learning and clear communication. You Bring: You have designed, implemented, and supported infrastructure automation for 24x7 SaaS applications in cloud-native, containerized environments You have experience with networking (HTTP, HTTPS, Telnet, SSH, Firewall, VPN) You’ve retained previous experience related to participating in and taking action on security governance and policy building is a plus Strong communication, collaboration, and problem-solving skills A team-first mindset and commitment to contributing to an inclusive, supportive engineering culture Requirements 6+ years of hands-on experience with AWS cloud infrastructure, or equivalent experience in a fast-paced startup environment. Strong experience with cloud platforms, preferably AWS (experience with Azure or GCP is a plus). Proven expertise in Infrastructure as Code (IaC) using tools like Terraform and CloudFormation. Proficient in CI/CD pipeline design and automation using tools such as GitLab, GitHub Actions and CircleCI. Basic understanding of Kubernetes and container orchestration systems, with familiarity in deploying and managing workloads on Amazon EKS. Experience with monitoring and logging stacks (e.g., Prometheus, Grafana, CloudWatch, ELK, OpenSearch). Proficient in scripting using Python and Bash for automation and tool development. Strong knowledge of networking concepts, security best practices, and IAM policies. Experience with incident response, root cause analysis, and postmortem documentation. Not meeting all the requirements but still feel like you’d be a great fit? Tell us how you can contribute to our team in a cover letter! H1 OFFERS Full suite of health insurance options, in addition to generous paid time off Pre-planned company-wide wellness holidays Retirement options Health & charitable donation stipends Impactful Business Resource Groups Flexible work hours & the opportunity to work from anywhere The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe
At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us. Data Engineering is responsible for the development and delivery of our most important asset—our data. With thousands of data sources from around the world, the team ensures that data is accurate, normalized, and delivered at a velocity that keeps up with real-world changes. As we expand our markets and the scope of data we provide to our customers, our team must scale to meet that demand. What You'll Do At H1 As a Data Engineer at H1, you will contribute to the development, optimization, and scaling of our data pipelines and infrastructure. You will collaborate closely with senior engineers, product managers, and cross-functional teams to help build efficient and scalable data solutions. This role is ideal for an engineer eager to deepen their expertise, take ownership of key projects, and contribute to our data platform’s success. You will: Design, build, and maintain robust, scalable ETL/ELT pipelines to ingest, transform, and load data from various sources. Implement data quality checks, monitoring, and logging; ensure adherence to data governance standards. Monitor and improve the performance of data systems and pipelines; troubleshoot data-related issues and bottlenecks. Evaluate, integrate, and develop data engineering tools that enhance productivity and ensure system reliability. Collaborate with senior engineers to improve data architecture and infrastructure. Support data integration efforts from multiple sources, ensuring consistency and accuracy. Troubleshoot data issues, optimize queries, and improve data retrieval performance. Document data processes and workflows, ensuring transparency and repeatability. Participate in code reviews and contribute to best practices for clean, maintainable code. Engage with cross-functional teams to understand business needs and help translate them into data solutions. About You You have solid technical skills in data engineering and a passion for building efficient, scalable solutions. You thrive in a collaborative environment, enjoy learning from experienced team members, and are eager to take on increasing responsibility as you grow in the role. You excel at building and maintaining scalable, efficient ETL/ELT pipelines and data systems. You care deeply about data quality, reliability, and observability, and implement monitoring to ensure both. You’re able to work collaboratively across teams and communicate effectively with both technical and non-technical stakeholders. You have strong analytical and problem solving skills with a focus on data quality and performance optimization. You have a passion for writing clean, efficient code and following best practices. Requirements 5+ years of experience in data engineering, working with large-scale data systems and pipelines. Proficiency in programming languages like Python, Java, or similar languages. Strong SQL skills, including the ability to write optimized complex queries for large datasets using advanced SQL operators such as GROUP BY, HAVING, window functions, and complex joins. Experience with big data tools like Apache Spark, particularly on cloud platforms, with a preference for AWS EMR. Experience with Docker or other containerization technologies. Not meeting all the requirements but still feel like you’d be a great fit? Tell us how you can contribute to our team in a cover letter! H1 OFFERS Full suite of health insurance options, in addition to generous paid time off Pre-planned company-wide wellness holidays Retirement options Health & charitable donation stipends Impactful Business Resource Groups Flexible work hours & the opportunity to work from anywhere The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe
At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us. Data Engineering is responsible for the development and delivery of our most important asset—our data. With thousands of data sources from around the world, the team ensures that data is accurate, normalized, and delivered at a velocity that keeps up with real-world changes. As we expand our markets and the scope of data we provide to our customers, our team must scale to meet that demand. What You'll Do At H1 As a Backend Software Engineer, you'll be instrumental in designing and building the systems that power our data platform. You will collaborate across engineering, product, and data teams to create robust, scalable, and efficient backend services and data workflows using Java, Python, and SQL . You will : Design and implement backend services and APIs using Python and Java Write efficient and optimized SQL queries for relational databases Build scalable, reliable, and secure systems that support high availability Collaborate with cross-functional teams to define, design, and ship new features Participate in code reviews, design discussions, and contribute to best practices Monitor and debug production systems and optimize performance Write unit, integration, and system tests to ensure code quality Document system designs, architecture, and operational procedures About You You bring strong backend engineering skills and a passion for building efficient, scalable solutions. You thrive in collaborative environments, enjoy learning from experienced teammates, and are eager to take on greater responsibility as you grow. This role is especially well-suited for someone looking to pivot into big data engineering and gain hands-on experience with the right mentorship and guidance. You have a solid understanding of data structures, algorithms, and software design principles. You’re able to work collaboratively across teams and communicate effectively with both technical and non-technical stakeholders. You have a passion for writing clean, efficient code and following best practices Requirements 4+ years of experience as a Backend Software Engineer. Proficiency in programming languages like Python, Java, or similar languages. Strong SQL skills, including the ability to write optimized complex queries for large datasets using advanced SQL operators such as GROUP BY, HAVING, window functions, and complex joins. Experience building RESTful APIs or microservices Familiarity with version control systems (e.g., Git) Experience working on cloud platforms like AWS Experience with Docker or other containerization technologies. Not meeting all the requirements but still feel like you’d be a great fit? Tell us how you can contribute to our team in a cover letter! H1 OFFERS Full suite of health insurance options, in addition to generous paid time off Pre-planned company-wide wellness holidays Retirement options Health & charitable donation stipends Impactful Business Resource Groups Flexible work hours & the opportunity to work from anywhere The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe
At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us. The Sales Operations team plays a pivotal role in driving H1’s revenue engine. We ensure our commercial teams have the tools, processes, and insights they need to operate efficiently and effectively. Salesforce is at the heart of this ecosystem and we’re looking for a Senior Salesforce Administrator to own and optimize our CRM environment. What You'll Do At H1 As a Senior Salesforce Administrator, you will serve as the primary administrator and technical point of contact for Salesforce, ensuring system reliability, data integrity, security, best practices, and user adoption across global Sales and Customer Success teams. You will drive process improvements in Salesforce and other connected applications that increase efficiency and productivity of our Sales and Customer Success Team. The Senior Salesforce Administrator will report directly to our VP, Commercial Operations. You will: Design, configure, and maintain Salesforce objects, fields, flows, validations, and page layouts to support the evolving needs of our business Design scalable Sales and Customer Success technical workflows based on a set of business requirements; ask questions to clarify business requirements and use feedback from User Acceptance Testing to improve the workflow Develop standard operating procedures for regular data audits, record deduplication, and validation processes, adhering to Salesforce best practices to improve our data hygiene; execute and/or oversee the execution of these processes on an ongoing basis Maintain dashboards and reports to provide actionable insights for Revenue Ops, leadership, and cross-functional stakeholders Implement and manage integrations with key tools (e.g., Chorus, SalesLoft, ZoomInfo, etc.) and oversee third-party app integrations Lead platform enhancements, new feature rollouts, and release testing while staying current on Salesforce innovations and best practices Document release notes, data schemas, and other configurations Work with end users to troubleshoot any issues related to Salesforce in a timely manner Administer other go-to-market tools (e.g., Zendesk, Salesloft, Chorus) on an adhoc basis About You We’re looking for a proactive, detail-oriented Salesforce expert who thrives on solving problems, improving processes, and enabling commercial teams with the tools they need to succeed. You are: Proficient in Salesforce Sales Cloud with preference for Data Cloud and/or Revenue Cloud/CPQ experience or alternatives; experience with other go-to-market applications (e.g., Hubspot, Zendesk, Salesloft, Chorus, ZoomInfo), a plus Comfortable designing and maintaining reports, dashboards, workflows, flows, and permissions Highly consultative with a proven ability to deliver solutions in Salesforce to meet business requirements; willingness to offer alternative solutions based on past experience and expertise with Salesforce Highly organized, with strong project management skills to handle multiple priorities and evolving business requirements Ability to work independently to execute tasks and projects, while providing regular updates to stakeholders on progress and any risks or blockers Requirements 5+ years of Salesforce Administration experience, preferably in B2B SaaS and/or Consulting, Life Sciences, or Healthcare industries Salesforce Platform Administrator I certification (201) required Salesforce Platform Administrator II certification (211) highly preferred Salesforce Platform App Builder certification highly preferred Experience with Salesforce integrations and AppExchange tools Strong proficiency with Excel/Google Sheets, including pivot tables, complex formulas (e.g., nested logic, array formulas) Strong communication skills to support global end-users and stakeholders Based in India, with flexibility to collaborate across global time zones Not meeting all the requirements but still feel like you’d be a great fit? Tell us how you can contribute to our team in a cover letter! H1 OFFERS Full suite of health insurance options, in addition to generous paid time off Pre-planned company-wide wellness holidays Retirement options Health & charitable donation stipends Impactful Business Resource Groups Flexible work hours & the opportunity to work from anywhere The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe
At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us. Data Engineering is responsible for the development and delivery of our most important asset—our data. With thousands of data sources from around the world, the team ensures that data is accurate, normalized, and delivered at a velocity that keeps up with real-world changes. As we expand our markets and the scope of data we provide to our customers, our team must scale to meet that demand. What You'll Do At H1 As a Senior Backend Software Engineer, you'll be instrumental in designing and building the systems that power our data platform. You will collaborate across engineering, product, and data teams to create robust, scalable, and efficient backend services and data workflows using Python, PySpark and SQL. You will take ownership of designing and scaling the systems that power H1’s data platform. You will work cross-functionally with other engineers, product managers, and stakeholders to deliver high-performance, reliable, and maintainable data solutions. This is an opportunity to play a key role in shaping the future of our data infrastructure while mentoring others and driving best practices. You will : Design and implement backend services and APIs using Python Write efficient and optimized SQL queries for relational databases Build scalable, reliable, and secure systems that support high availability Collaborate with cross-functional teams to define, design, and ship new features Participate in code reviews, design discussions, and contribute to best practices Monitor and debug production systems and optimize performance Write unit, integration, and system tests to ensure code quality Document system designs, architecture, and operational procedures About You You bring strong backend engineering skills and a passion for building efficient, scalable solutions. You thrive in collaborative environments, enjoy learning from experienced teammates, and are eager to take on greater responsibility as you grow. This role is especially well-suited for someone looking to pivot into big data engineering and gain hands-on experience with the right mentorship and guidance. You have a solid understanding of data structures, algorithms, and software design principles. You’re able to work collaboratively across teams and communicate effectively with both technical and non-technical stakeholders. You have a passion for writing clean, efficient code and following best practices. Requirements 6+ years of professional software development experience Strong programming skills in Python or Java Proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL) Experience building RESTful APIs or microservices Familiarity with version control systems (e.g., Git) Experience working on cloud platforms like AWS Experience with Docker or other containerization technologies. H1 OFFERS Full suite of health insurance options, in addition to generous paid time off Pre-planned company-wide wellness holidays Retirement options Health & charitable donation stipends Impactful Business Resource Groups Flexible work hours & the opportunity to work from anywhere The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe