[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Waters jobs](https://jobs.opennash.com/companies/waters/) · [Search jobs](/search/) Waters # Data Platforms Senior Engineer – Databricks Senior individual contributor Data & Analytics Listed on Waters’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Waters’s careers site →](https://internationalcareers-waters.icims.com/jobs/27625/data-platforms-senior-engineer-%e2%80%93-databricks/job?in_iframe=1) [OpenNash Jobs](https://jobs.opennash.com/) / [Waters](https://jobs.opennash.com/companies/waters/) / Data Platforms Senior Engineer – Databricks ## Job description ### Overview The Senior Data Engineer (ETL) will lead the design and development of scalable ETL pipelines for Waters’ Enterprise Data Lakehouse. This role requires a strong technical foundation, hands-on experience with Azure databricks, Pyspark, SQL, Python & GITHUB alongwith a strong understanding of standard data engineering practices, and the ability to work cross-functionally with business and technical teams Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT processes. Develop and optimize data processing solutions using Databricks and Apache Spark. Build data pipelines using PySpark, Python, and SQL. Work with Databricks notebooks, workflows/jobs, clusters, and Delta Lake. Implement incremental data processing and performance optimization techniques. Manage source code using GitHub, including branching, pull requests, code reviews, and repository management. Implement and maintain CI/CD pipelines for data engineering workloads using GitHub-based development practices. ### Qualifications Bachelor’s degree in computer science, Software Engineering, Information Systems, or a related field. Typically, 4-7 years of relevant experience in Data Engineering, ETL, DWH, or data analytics decision support role, with some senior roles requiring total experience between 4 to 7 years. Strong handson experience with Databricks platform. Expert proficiency in SQL and Python (advanced querying, stored procedures, performance tuning). Extensive experience with ETL tools and platforms (e.g., SSIS, Azure Data Factory, Azure DataBricks). Deep understanding of data warehousing concepts (dimensional modelling, Kimball/Inmon methodologies). Familiarity with Big Data technologies (e.g., Spark, Hadoop, Kafka) for processing large Experience with version control systems (e.g., Git). Strong technical & analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into operational requirements Company Description Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide. Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time. ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 7 days[Apply on Waters’s careers site →](https://internationalcareers-waters.icims.com/jobs/27625/data-platforms-senior-engineer-%e2%80%93-databricks/job?in_iframe=1) ## More jobs at Waters ### [Cloud Principal Engineer Lab and Data Management](https://jobs.opennash.com/companies/waters/jobs/8b88b5d20ceb607aaba3/) ### [Cloud Senior Engineer Lab and Data](https://jobs.opennash.com/companies/waters/jobs/48cb7eead1a44dfc7622/) ### [Data Platforms Lead Engineer (SAC-Planning) - BI & Reporting](https://jobs.opennash.com/companies/waters/jobs/50e760a4b7e135405eab/) ### [Data Platforms Principal Engineer (SAC-Planning) - BI & Reporting](https://jobs.opennash.com/companies/waters/jobs/acd691e1bd035b2361d9/) ### [Data Platforms Technical Support Manager](https://jobs.opennash.com/companies/waters/jobs/c37eff850bc042524d9d/) ## Similar jobs at other companies ### [Data Engineer / Databricks Platform Administrator](https://jobs.opennash.com/companies/accenture/jobs/961b77558e49a8d8f12d/) Accenture ### [Data Engineer – AWS Kinesis & Databricks - AU Citizen](https://jobs.opennash.com/companies/accenture/jobs/6d783271eeff35ac53d1/) Accenture ### [Sr. Cloud Engineer - Databricks/AI focus ( 5-9 years) Bangalore](https://jobs.opennash.com/companies/sandisk/jobs/c346a870f6ebb03093fd/) Sandisk ### [Lead Data Engineer (Databricks, Big Data)](https://jobs.opennash.com/companies/norfolk-southern/jobs/cc61f2266aaa849d1e93/) Norfolk Southern ### [Senior Data Engineer Data Ai Platforms](https://jobs.opennash.com/companies/novartis/jobs/8b50799684a497be8387/) Novartis OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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