4 Agile Database Jobs

Role Overview: Principal Quality Engineer Engineering Excellence Skyhigh Security is looking for a Principal Quality Engineer to join our Engineering Excellence organization. Reporting to the VP of Engineering Excellence, youll play a critical role in defining and driving a unified Quality Engineering (QE) strategy across all product lines. This is a highly influential, cross-functional role focused on raising company-wide engineering quality standards, fostering a culture of quality, and ensuring consistency in execution. About the Role Skyhigh Security is looking for a Principal Quality Engineer to join our Engineering Excellence organization. Reporting to the VP of Engineering Excellence, youll play a critical role in defining and driving a unified Quality Engineering (QE) strategy across all product lines. This is a highly influential, cross-functional role focused on raising company-wide engineering quality standards, fostering a culture of quality, and ensuring consistency in execution. You will partner with engineering leadership, product management, development teams, and architects to embed quality into every stage of the software lifecyclefrom planning through release and beyond. Quality will be your lens across Agile practices, development workflows, CI/CD pipelines, and user experience, helping teams shift quality left and deliver reliable, customer-centric products. Bringing a strong background in both functional and non-functional testing, youll lead initiatives to standardize quality practices, improve test architecture, scale automation, and drive continuous improvement. Your work will ensure our products are not only technically robust but also intuitive, performant, and trustworthy in the eyes of our customers. Key Responsibilities: Provide technical and strategic leadership in quality engineering across multiple teams and domains. Collaborate cross-functionally to align teams on shared quality goals and practices. Guide the integration of quality into Agile workflows and CI/CD pipelines. A hands-on approach to evaluating, evolving and adopting test architecture, tooling, and automation strategies. Mentor engineers and help mature the organizations overall QE capabilities. Champion customer-centric quality, ensuring that product reliability and usability meet real-world needs. This is an excellent opportunity for a hands-on engineering-quality leader ready to make a company-wide impact and help shape the future of engineering excellence at Skyhigh Security. If you're passionate about embedding quality into the heart of software development, wed love to hear from you. Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement

ABOUT THE ROLE Role Description We are seeking an MDM Associate Data Steward who will be responsible for ensuring the accuracy, completeness, and reliability of master data across critical business domains such as Customer, Product, Affiliations, and Payer. This role involves actively managing and curating master data through robust data stewardship processes, comprehensive data cataloging, and data governance frameworks utilizing Informatica or Reltio MDM platforms. Additionally, the incumbent will perform advanced data analysis, data validation, and data transformation tasks through SQL queries and Python scripts to enable informed, data-driven business decisions. The role emphasizes cross-functional collaboration with various teams, including Data Engineering, Commercial, Medical, Compliance, and IT, to align data management activities with organizational goals and compliance standards. Roles & Responsibilities Responsible for master data stewardship, ensuring data accuracy and integrity across key master data domains (e.g., Customer, Product, Affiliations). Conduct advanced data profiling, cataloging, and reconciliation activities using Informatica or Reltio MDM platforms. Manage the reconciliation of potential matches, ensuring accurate resolution of data discrepancies and preventing duplicate data entries. Effectively manage Data Change Request (DCR) processes, including reviewing, approving, and documenting data updates in compliance with established procedures and SLAs. Execute and optimize SQL queries for validation and analysis of master data. Perform basic Python for data transformation, quality checks, and automation. Collaborate effectively with cross-functional teams including Data Engineering, Commercial, Medical, Compliance, and IT to fulfill data requirements. Support user acceptance testing (UAT) and system integration tests for MDM related system updates. Implement data governance processes ensuring compliance with enterprise standards, policies, and frameworks. Document and maintain accurate SOPs, Data Catalogs, Playbooks, and SLAs. Identify and implement process improvements to enhance data stewardship and analytic capabilities. Perform regular audits and monitoring to maintain high data quality and integrity. Basic Qualifications and Experience Masters degree with 1 - 3 years of experience in Business, Engineering, IT or related fieldOR Bachelors degree with 2 - 5 years of experience in Business, Engineering, IT or related fieldOR Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Direct experience in data stewardship, data profiling, and master data management. Hands-on experience with Informatica or Reltio MDM platforms. Proficiency in SQL for data analysis and querying. Knowledge of data cataloging techniques and tools. Basic proficiency in Python scripting for data processing. Good-to-Have Skills: Experience with PySpark and Databricks for large-scale data processing. Background in the pharmaceutical, healthcare, or life sciences industries. Familiarity with AWS or other cloud-based data solutions. Strong project management and agile workflow familiarity (e.g., using Jira, Confluence). Understanding of regulatory compliance related to data protection (GDPR, CCPA). Professional Certifications Any ETL certification ( e.g. Informatica) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams

We're looking for a Senior Backend Developer who thrives at the intersection of software engineering and data engineering . This role involves architecting and optimizing complex, high-throughput backend systems that power data-driven products at scale. If you have deep backend chops, strong database expertise across RDBMS platforms, and hands-on experience with large-scale data workflows, we'd love to hear from you. Key Responsibilities 1. Leadership Project Delivery Lead backend development teams, ensuring adherence to Agile practices and development best practices. Collaborate across product, frontend, DevOps, and data teams to design, build, and deploy robust features and services. Drive code quality through reviews, mentoring, and enforcing design principles. 2. Research Innovation Conduct feasibility studies on emerging technologies, frameworks, and methodologies. Design and propose innovative solutions for complex technical challenges using data-centric approaches. Continuously improve system design with a forward-thinking mindset. 3. System Architecture Optimization Design scalable, distributed, and secure system architectures. Optimize and refactor legacy systems to improve performance, maintainability, and scalability. Define best practices around observability, logging, and resiliency. 4. Database Data Engineering Design, implement, and optimize relational databases (PostgreSQL, MySQL, SQL Server, etc.). Develop efficient SQL queries, stored procedures, indexes, and schema migrations. Collaborate with data engineering teams on ETL/ELT pipelines , data ingestion, transformation, and warehousing. Work with large datasets , batch processing, and streaming data (e.g., Kafka, Spark, Airflow). Ensure data integrity, consistency, and security across backend and analytics pipelines. Must-Have Skills Backend Development: TypeScript, Node.js (or equivalent backend framework), REST/GraphQL API design. Databases Storage: Strong proficiency in PostgreSQL , plus experience with other RDBMS like MySQL , SQL Server , or Oracle . Familiarity with NoSQL (e.g., Redis, MongoDB) and columnar/OLAP stores (e.g., ClickHouse, Redshift). Awareness on Data Engineering : Hands-on work with data ingestion , transformation , pipelines , and data orchestration tools. Exposure to tools like Apache Airflow , Kafka , Spark , or dbt . Cloud Infrastructure: Proficiency with AWS (Lambda, EC2, RDS, S3, IAM, CloudWatch). DevOps CI/CD: Experience with Docker, Kubernetes, GitHub Actions or similar CI/CD pipelines. Architecture: Experience designing secure, scalable, and fault-tolerant backend systems. Agile SDLC: Strong understanding of Agile workflows, SDLC best practices, and version control (Git). Nice-to-Have Skills Experience with event-driven architectures or microservices . Exposure to data warehouse environments (e.g., Snowflake, BigQuery). Knowledge of backend-for-frontend collaboration (especially with React.js). Familiarity with data cataloging, data governance, and lineage tools. Preferred Qualifications Bachelor's or Master's in Computer Science, Software Engineering, or a related technical field. Proven experience leading backend/data projects in enterprise or startup environments. Strong system design, analytical, and problem-solving skills. Awareness of cybersecurity best practices in cloud and backend development.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are seeking an MDM Associate Data Steward who will be responsible for ensuring the accuracy, completeness, and reliability of master data across critical business domains such as Customer, Product, Affiliations, and Payer. This role involves actively managing and curating master data through robust data stewardship processes, comprehensive data cataloging, and data governance frameworks utilizing Informatica or Reltio MDM platforms. Additionally, the incumbent will perform advanced data analysis, data validation, and data transformation tasks through SQL queries and Python scripts to enable informed, data-driven business decisions. The role emphasizes cross-functional collaboration with various teams, including Data Engineering, Commercial, Medical, Compliance, and IT, to align data management activities with organizational goals and compliance standards. ? Roles & Responsibilities? ? Responsible for master data stewardship, ensuring data accuracy and integrity across key master data domains (e.g., Customer, Product, Affiliations). Conduct advanced data profiling, cataloging, and reconciliation activities using Informatica or Reltio MDM platforms. Manage the reconciliation of potential matches, ensuring accurate resolution of data discrepancies and preventing duplicate data entries. Effectively manage Data Change Request (DCR) processes, including reviewing, approving, and documenting data updates in compliance with established procedures and SLAs. Execute and optimize SQL queries for validation and analysis of master data. Perform basic Python for data transformation, quality checks, and automation. Collaborate effectively with cross-functional teams including Data Engineering, Commercial, Medical, Compliance, and IT to fulfill data requirements. Support user acceptance testing (UAT) and system integration tests for MDM related system updates. Implement data governance processes ensuring compliance with enterprise standards, policies, and frameworks. Document and maintain accurate SOPs, Data Catalogs, Playbooks, and SLAs. Identify and implement process improvements to enhance data stewardship and analytic capabilities. Perform regular audits and monitoring to maintain high data quality and integrity. Basic Qualifications and Experience? Master’s degree with 1 - 3 years of experience in Business, Engineering, IT or related field? OR ?? Bachelor’s degree with 2 - 5 years of experience in Business, Engineering, IT or related field? OR ? Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field? Functional Skills: ? Must-Have Skills: ? Direct experience in data stewardship, data profiling, and master data management. Hands-on experience with Informatica or Reltio MDM platforms. Proficiency in SQL for data analysis and querying. Knowledge of data cataloging techniques and tools. Basic proficiency in Python scripting for data processing. Good-to-Have Skills: ? Experience with PySpark and Databricks for large-scale data processing. Background in the pharmaceutical, healthcare, or life sciences industries. Familiarity with AWS or other cloud-based data solutions. Strong project management and agile workflow familiarity (e.g., using Jira, Confluence). Understanding of regulatory compliance related to data protection (GDPR, CCPA). Professional Certifications ? Any ETL certification ( e.g. Informatica)? Any Data Analysis certification (SQL)? Any cloud certification (AWS or AZURE)? Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.