Syntasa, a leader in using big data processing and cloud computing to understand digital behavior, is seeking an organized, collaborative, and confident project manager to deliver a variety of projects for our customers. This role requires a high level of leadership, problem solving, communication, collaboration, and attention to detail. We offer a fun, casual, collaborative working environment for individuals who take pride in working on cutting-edge technologies, learning by doing, and pushing themselves forward. You’ll collaborate with a passionate team and work with industry leaders in applying AI/ML to big data in digital. Key Responsibilities: Collaborate with Account Management and Professional Services to ensure successful and efficient delivery. Keep customer, partner, and internal stakeholders informed of status, timelines, issues, and actions and proactively manage stakeholder expectations. Coordinate calendars and schedule meetings, handle logistics (invites, audio/video, etc.), take meeting notes, and follow up on action items to resolution. Assist in the documentation and maintenance of project artifacts, such as project plans, status updates, and wiki pages. Support Project Management and Delivery in managing resources; ensure proper time tracking and generate reports. Organize files, presentations, and other written communications/documents so they are readily accessible to respond to subsequent/future reporting requests. Assist in the creation of project reports and presentations as needed with a fast turnaround time, prepare draft and final report(s), including formatting and document styling. Required qualifications: Ability to work eight (8) hours per day overlap with Eastern Time Zone in the USA A track record of self-directed learning, adapting quickly to solve problems, and taking initiative and accountability to get things done. Ability to work under deadlines with strong attention to detail and prioritize and balance multiple projects simultaneously. Desire to learn technical concepts in big data, data science, AI/ML, and digital technologies. Experience as a project manager using waterfall or agile methods. A collaborative approach to working on a team and the ability to relate to, and work with, a wide variety of internal stakeholders in a professional manner. Bachelor’s degree, and 3-5 (5 + preferred) years relevant experience Exceptional verbal, written, and interpersonal skills. CAPM/PMP not required but is a plus
Syntasa, a leader in using big data processing and cloud computing to understand digital behavior, is seeking an organized, collaborative, and confident project manager to deliver a variety of projects for our customers. This role requires a high level of leadership, problem solving, communication, collaboration, and attention to detail. We offer a fun, casual, collaborative working environment for individuals who take pride in working on cutting-edge technologies, learning by doing, and pushing themselves forward. You’ll collaborate with a passionate team and work with industry leaders in applying AI/ML to big data in digital. Key Responsibilities: Collaborate with Account Management and Professional Services to ensure successful and efficient delivery. Keep customer, partner, and internal stakeholders informed of status, timelines, issues, and actions and proactively manage stakeholder expectations. Coordinate calendars and schedule meetings, handle logistics (invites, audio/video, etc.), take meeting notes, and follow up on action items to resolution. Assist in the documentation and maintenance of project artifacts, such as project plans, status updates, and wiki pages. Support Project Management and Delivery in managing resources; ensure proper time tracking and generate reports. Organize files, presentations, and other written communications/documents so they are readily accessible to respond to subsequent/future reporting requests. Assist in the creation of project reports and presentations as needed with a fast turnaround time, prepare draft and final report(s), including formatting and document styling. Required qualifications: Ability to work eight (8) hours per day overlap with Eastern Time Zone in the USA A track record of self-directed learning, adapting quickly to solve problems, and taking initiative and accountability to get things done. Ability to work under deadlines with strong attention to detail and prioritize and balance multiple projects simultaneously. Desire to learn technical concepts in big data, data science, AI/ML, and digital technologies. Experience as a project manager using waterfall or agile methods. A collaborative approach to working on a team and the ability to relate to, and work with, a wide variety of internal stakeholders in a professional manner. Bachelor’s degree, and 3-5 (5 + preferred) years relevant experience Exceptional verbal, written, and interpersonal skills. CAPM/PMP not required but is a plus
Senior Solutions Engineer Are you an ETL expert with a passion for data and AI, looking to make a significant impact on enterprise data strategies? Syntasa is seeking a highly motivated and skilled individual to join our team. This role offers a unique opportunity to lead critical data migration initiatives for our clients, leveraging cutting-edge tools and methodologies, while also growing into a Product Manager role for our innovative Data and AI platform. You'll initially focus on a major client project, utilizing your deep ETL knowledge to guide the enhancement of our AI-powered migration tools. This will involve working closely with our product engineering team and directly supporting client resources to ensure successful data platform transitions. As you excel, you'll seamlessly transition into a Product Manager, shaping the future of our platform and developing strategies to empower users migrating from legacy systems. Key Responsibilities: · Collaborate with engineering to enhance AI-driven migration tools, providing expertise on legacy ETL systems. · Support data migration projects for enterprise clients, ensuring successful transitions to the Syntasa platform. · Guide clients on Syntasa best practices and adoption strategies. · Identify product gaps and work with engineering to address them. · Transition into a Product Manager role, contributing to the product roadmap and developing content for future migration users. We're Looking For: · Deep expertise in a major ETL tool (e.g., Talend, Microsoft Fabric Databricks). · Strong proficiency in Python, Pandas, and Spark. · Excellent communication and customer-facing skills. · A proactive problem-solver with a strong desire to learn and grow into a product leadership role. Must Have: · 5+ years of Talend experience · Good client management and communication skills · Minimum bachelor’s degree in a technical discipline Location: Remote Why Join Syntasa? Syntasa is at the forefront of Data and AI innovation. We offer a challenging, dynamic environment where you can directly influence client success and shape the future of our product. If you're ready to make a significant impact and grow your career, we want to hear from you!
We do things differently. We build a solution for enterprises to make sense of all of their information. We know how important it is for companies to understand their customers, so we provide our technology to solve their biggest challenges. We believe in open and transparent communication, not strict rules and hierarchies. We are a team of hardworking, talented people who aim to build software that makes sense of data. We’ve got some huge challenges ahead of us, and we need smart, driven wordsmiths to help us tackle them. If you think you’ve got what it takes—join us. Job Responsibilities The QA Engineer(Operations) receives team objectives, goals, and tasks from the Senior Operations Engineer and performs efficient and effective processes to best meet those targets in a quality manner. The primary goals, but not limited to, of the Operations team are as follows: ● Automation Testing o Design, develop, and maintain automated test scripts using Java and Selenium WebDriver. o Build and maintain test frameworks that support continuous integration and delivery. o Utilize TestNG for test configuration and execution. o Manage project dependencies using Maven and ensure proper integration with the build process. o Implement and run automated tests in Jenkins as part of the CI/CD pipeline. o Execute automated tests and analyze results to ensure software quality. ● Product Testing o Perform thorough manual testing to identify bugs and verify fixes. o Develop detailed, comprehensive, and well-structured test plans and test cases. o Conduct regression testing to ensure existing functionality remains unaffected. ● Test Case Management: o Use test management tools like TestRail or Testmo to document, organize, and manage test cases and results. o Track and report on testing progress and metrics. ● Collaboration : o Work closely with development, product management, and other stakeholders to understand product requirements and ensure high-quality deliverables. o Participate in sprint planning, daily stand-ups, and retrospectives as part of the Agile development process. ● Issue Tracking: o Utilize Jira for bug tracking, issue management, and project tracking. o Create detailed and accurate bug reports and work with the development team to resolve issues. ● Communication : o Provide clear and concise communication regarding testing activities, issues, and risks to the team and stakeholders. o Prepare and present test reports, summaries, and other documentation as needed. ● Ownership : o Take ownership of the quality assurance process for assigned projects. o Proactively identify areas for improvement in the testing process and propose solutions. o Stay up to date with the latest industry trends and best practices in testing and automation.
Quality and Analytics Specialist About Us We do things differently. We build a solution for enterprises to make sense of all of their information. We know how important it is for companies to understand their customers, so we provide our technology to solve their biggest challenges. We believe in open and transparent communication, not strict rules and hierarchies. We are a team of hardworking, talented people who aim to build software that makes sense of data. We’ve got some huge challenges ahead of us, and we need smart, driven wordsmiths to help us tackle them. If you think you’ve got what it takes—join us. Role Summary We are seeking a QA to ensure the quality, accuracy, and reliability of data workflows executed through Notebook/JupyterLab and data platforms. This role focuses on validating processing logic, workflows, and analytical outputs built using Python, Spark, and modern data libraries. Key Responsibilities 1. Data & Notebook Quality Assurance Validate JupyterLab notebooks for logic accuracy, data transformation, and analytical correctness using libraries like Pandas, NumPy, PySpark, Apache Sedona, and GeoMesa. Ensure seamless integration of notebooks within the Syntasa platform, confirming all required libraries, kernels, and dependencies function reliably for users. Verify error-free execution, correct geospatial operations, and a stable, consistent user experience across user roles and environments.. 2. Data Validation & Reconciliation Perform backend data validation using complex SQL queries and Python-based comparison scripts. Validate aggregation logic, statistical calculations, and transformations implemented through Pandas and Spark frameworks. Identify anomalies, duplicates, and data inconsistencies across datasets. 3. Pipeline & Platform Testing Test data pipelines developed using Spark/PySpark and associated libraries. Validate ingestion workflows from multiple sources including APIs, files, and cloud storage. Test performance and scalability of pipelines handling high-volume datasets. 4. Test Planning & Reporting Design detailed test cases covering notebook execution, data integrity, and analytical accuracy. Maintain test artifacts and data validation reports. Log and track defects using Jira or similar tools. 5. Collaboration & Continuous Improvement Work closely with data engineers and data scientists to validate logic developed using Notebook and Python-based analytics frameworks. Suggest improvements to data quality checks and automation strategies. Required Skills Must Have Strong Python scripting for data validation and automation Experience testing JupyterLab or notebook-based workflows Hands-on validation of data logic using Pandas, NumPy, PySpark, Apache Sedona (GeoSpark), and/or GeoMesa Strong SQL expertise for reconciliation and analysis Experience testing Spark-based data pipelines Good to Have Familiarity with cloud platforms (GCP / AWS) Experience with Airflow or similar schedulers Understanding of geospatial data concepts and large-scale dataset processing
Quality and Analytics Specialist About Us We do things differently. We build a solution for enterprises to make sense of all of their information. We know how important it is for companies to understand their customers, so we provide our technology to solve their biggest challenges. We believe in open and transparent communication, not strict rules and hierarchies. We are a team of hardworking, talented people who aim to build software that makes sense of data. We've got some huge challenges ahead of us, and we need smart, driven wordsmiths to help us tackle them. If you think you've got what it takesjoin us. Role Summary We are seeking a QA to ensure the quality, accuracy, and reliability of data workflows executed through Notebook/JupyterLab and data platforms. This role focuses on validating processing logic, workflows, and analytical outputs built using Python, Spark, and modern data libraries. Key Responsibilities 1. Data & Notebook Quality Assurance Validate JupyterLab notebooks for logic accuracy, data transformation, and analytical correctness using libraries like Pandas, NumPy, PySpark, Apache Sedona, and GeoMesa. Ensure seamless integration of notebooks within the Syntasa platform, confirming all required libraries, kernels, and dependencies function reliably for users. Verify error-free execution, correct geospatial operations, and a stable, consistent user experience across user roles and environments.. 2. Data Validation & Reconciliation Perform backend data validation using complex SQL queries and Python-based comparison scripts. Validate aggregation logic, statistical calculations, and transformations implemented through Pandas and Spark frameworks. Identify anomalies, duplicates, and data inconsistencies across datasets. 3. Pipeline & Platform Testing Test data pipelines developed using Spark/PySpark and associated libraries. Validate ingestion workflows from multiple sources including APIs, files, and cloud storage. Test performance and scalability of pipelines handling high-volume datasets. 4. Test Planning & Reporting Design detailed test cases covering notebook execution, data integrity, and analytical accuracy. Maintain test artifacts and data validation reports. Log and track defects using Jira or similar tools. 5. Collaboration & Continuous Improvement Work closely with data engineers and data scientists to validate logic developed using Notebook and Python-based analytics frameworks. Suggest improvements to data quality checks and automation strategies. Required Skills Must Have Strong Python scripting for data validation and automation Experience testing JupyterLab or notebook-based workflows Hands-on validation of data logic using Pandas, NumPy, PySpark, Apache Sedona (GeoSpark), and/or GeoMesa Strong SQL expertise for reconciliation and analysis Experience testing Spark-based data pipelines Good to Have Familiarity with cloud platforms (GCP / AWS) Experience with Airflow or similar schedulers Understanding of geospatial data concepts and large-scale dataset processing
Syntasa, a leader in leveraging big data and cloud computing to understand digital behavior, is seeking a strategic, confident, and highly organized Customer Program Lead to lead and deliver client-facing programs and projects. This individual contributor role requires a strong background in program and project management, excellent stakeholder communication and facilitation skills, and the ability to independently manage complex, cross-functional initiatives with both internal and external partners. You’ll work closely with clients, account teams, and technical experts to ensure project success - from kickoff to completion - while representing Syntasa with professionalism and clarity in every interaction. We offer a fun, collaborative, and forward-thinking environment where individuals take pride in working on cutting-edge AI/ML and big data solutions. Key Responsibilities : ● Lead client-facing programs end-to-end - from kickoff through delivery - ensuring outcomes, timelines, and stakeholder expectations are consistently met. ● Act as the primary program manager in client meetings, steering discussions toward clarity, alignment, and next steps. ● Manage stakeholder communications across multiple levels (executive, business, and technical) with clear, concise, and proactive updates. Confidently represent Syntasa in client presentations, reviews, and status updates ● Partner cross-functionally with Account Management, Services/Engineering to coordinate resources, define priorities, and proactively manage risks. ● Develop and maintain detailed project plans, status reports, and documentation and oversee project governance and program reporting. Maintain high-quality delivery documentation, reports, and decks that clearly communicate progress and results. ● Contribute to continuous improvement by identifying process gaps, sharing best practices, and supporting the evolution of the PMO and delivery frameworks. Required qualifications: ● Proven success in client-facing roles - facilitating meetings, managing expectations, and leading communications across international stakeholders. ● Excellent facilitation, communication, and storytelling skills - able to make complex concepts simple, visual, and actionable. ● Demonstrated ownership and accountability for delivery success, with or without direct reports. ● Strong organizational and analytical skills, with attention to detail and follow-through under tight deadlines. Collaborative mindset and ability to build trusted relationships across all levels of an organization. ● Strong understanding and hands-on experience with project management frameworks (Agile, Hybrid, or Waterfall), including PMI methodologies, and the ability to adapt them to real-world delivery. ● 7–10 years of relevant project/program management experience, ideally in a consulting, SaaS, or data/AI technology environment. ● Bachelor’s degree required; PMP, Prince2, or Agile certifications preferred. ● Experience working across U.S. or Europe-based clients preferred, especially in the Public Sector market. ● Comfortable overlapping with U.S. Eastern Time and working remotely. ● Interest in learning technical concepts related to big data, AI/ML, and digital analytics.
Syntasa, a leader in leveraging big data and cloud computing to understand digital behavior, is seeking a strategic, confident, and highly organized Project Manager to lead and deliver client-facing programs and projects. This individual contributor role requires a strong background in program and project management, excellent stakeholder communication and facilitation skills, and the ability to independently manage complex, cross-functional initiatives with both internal and external partners. You’ll work closely with clients, account teams, and technical experts to ensure project success - from kickoff to completion - while representing Syntasa with professionalism and clarity in every interaction. We offer a fun, collaborative, and forward-thinking environment where individuals take pride in working on cutting-edge AI/ML and big data solutions. Key Responsibilities : ● Lead client-facing programs end-to-end - from kickoff through delivery - ensuring outcomes, timelines, and stakeholder expectations are consistently met. ● Act as the primary program manager in client meetings, steering discussions toward clarity, alignment, and next steps. ● Manage stakeholder communications across multiple levels (executive, business, and technical) with clear, concise, and proactive updates. Confidently represent Syntasa in client presentations, reviews, and status updates ● Partner cross-functionally with Account Management, Services/Engineering to coordinate resources, define priorities, and proactively manage risks. ● Develop and maintain detailed project plans, status reports, and documentation and oversee project governance and program reporting. Maintain high-quality delivery documentation, reports, and decks that clearly communicate progress and results. ● Contribute to continuous improvement by identifying process gaps, sharing best practices, and supporting the evolution of the PMO and delivery frameworks. Required qualifications: ● Proven success in client-facing roles - facilitating meetings, managing expectations, and leading communications across international stakeholders. ● Excellent facilitation, communication, and storytelling skills - able to make complex concepts simple, visual, and actionable. ● Demonstrated ownership and accountability for delivery success, with or without direct reports. ● Strong organizational and analytical skills, with attention to detail and follow-through under tight deadlines. Collaborative mindset and ability to build trusted relationships across all levels of an organization. ● Strong understanding and hands-on experience with project management frameworks (Agile, Hybrid, or Waterfall), including PMI methodologies, and the ability to adapt them to real-world delivery. ● 7–10 years of relevant project/program management experience, ideally in a consulting, SaaS, or data/AI technology environment. ● Bachelor’s degree required; PMP, Prince2, or Agile certifications preferred. ● Experience working across U.S. or Europe-based clients preferred, especially in the Public Sector market. ● Comfortable overlapping with U.S. Eastern Time and working remotely. ● Interest in learning technical concepts related to big data, AI/ML, and digital analytics.
Job Title: Insights Analyst About the Role We are looking for a technically strong Insights Analyst who can turn diverse datasets into clear, actionable insights. This role blends programming, analytics, cloud technologies, and foundational machine learning. The ideal candidate enjoys building reliable data pipelines with Python, crafting intuitive dashboards with Javascript, writing efficient SQL, and validating workflows and product end-to-end to ensure accuracy and trust. Key Responsibilities · Build, automate, and refine analytical workflows using Python/R. · Translate data findings into clear, actionable insights through thoughtful storytelling and strong communication. · Develop business dashboards that clearly communicate KPIs and insights; familiarity with Superset is a plus. · Use JavaScript to enhance interactive dashboard features or custom visual components. · Write efficient, well-structured SQL for reporting, analytics, and data modeling. · Design and maintain data pipelines, including cleaning, transformation, enrichment, and schema alignment. · Work with AWS or GCP services to support scalable data processing and analytical tasks. · Use clusters and VM-based compute environments to run high-volume or distributed workloads. · Apply fundamental machine learning techniques to support exploratory modeling and predictive analysis. · Validate data, workflows, dashboards, and analytics outputs through systematic testing to ensure reliability. · Collaborate with product, engineering, and analytics teams to translate business needs into insight-driven decisions. · Maintain documentation and contribute to improving analytical processes, data workflows, and reporting clarity. Required Skills & Qualifications · Strong proficiency in Python and its data ecosystem (Pandas, NumPy, PySpark preferred). · Experience building dashboards; Superset familiarity is advantageous. · Advanced SQL skills for query optimization, data modeling, and validation. · Hands-on experience with data pipeline development, including cleaning and transformation. · Practical knowledge of AWS or GCP cloud platforms. · Understanding of distributed compute concepts (VMs, clusters, containers). · Familiarity with basic machine learning practices and model evaluation. · Proficiency in JavaScript for visualization or dashboard-related enhancements. · Strong attention to detail with experience validating analytical outputs through structured testing. · Curiosity, problem-solving ability, and an eagerness to learn new tools and technologies. Preferred Qualifications · Experience with cloud warehouses such as BigQuery or Snowflake. · Exposure to event-driven data pipelines or API-driven ingestion. · Familiarity with Git and collaborative development workflows. · Understanding of experimentation, statistical analysis, or metrics design. What We Value A mindset that combines curiosity with precision, the ability to communicate insights clearly, and the commitment to building dependable, scalable data solutions that empower teams across the organization.