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Senior Data Engineer

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Socket.dev
Full Time, Part Time position
Listed on 2026-07-26
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 147948 - 157550 USD Yearly USD 147948.00 157550.00 YEAR
Job Description & How to Apply Below

Working with Us

Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.

You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more:

Compensation Overview

Tampa –FL - US: $147948 - $157550
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Duties

Integrate data products from diverse source systems to ensure quality, performance and scalability using cloud platforms. Collaborate with business users to gather requirements and translate them into comprehensive mapping documents that can be implemented as data products. Define requirements for accessing and managing clinical, pre-clinical, and translational medicine databases. Design and implement effective incremental load strategies to facilitate efficient data processing.

Conduct unit testing, quality assurance, and troubleshoot data quality issues to enhance data integrity across platforms. Provide support for enterprise data warehousing operations, ensuring seamless data extraction, transformation, and loading (ETL). Work on integrating multiple data platforms and ensure standardized data processes. Engage with scientific teams to understand and support the integration of biospecimen data, patient annotation datasets, and results of preclinical and translational studies.

Understand and implement Data Mesh strategies to align decentralized data ownership with business objectives. Telecommuting permitted up to 3 days per week. Up to 10% domestic travel may be required based on business need.

Requirements
  • Employer will accept a Bachelor’s degree or foreign equivalent degree in Computer Science, or a related field, and five (5) years of progressive post-baccalaureate related work experience as a Data Scientist or related occupation.
  • Requires five (5) years of experience in the following skills (which may be gained concurrently):
    Migrating various types of clinical databases from on-premise to cloud-based data lakes and data warehouses;
  • Working with clinical databases and tools such as Lab Matrix, Informatica, Myriad, Informatica Big Data Management (BMD), Apache Hadoop, Hive, and Snowflake;
  • Leveraging Amazon Web Services, including Glue, Lambda, Athena, Redshift, S3, and Data Zone to design and implement scalable data solutions;
  • Developing Extract, Transform, and Load (ETL) processes using AWS Glue, AWS Lambda, and Informatica Power Center to create serverless applications;
  • Optimizing queries for data processing using SQL and No

    SQL engines such as SQL server, Oracle, Postgres, and Impala;
  • Integrating Apache Spark with AWS Athena for real-time data processing and analytics;
  • Data visualization using Spotfire, Tableau, or Dotmatics; and
  • Applying protocols and standards in biopharmaceutical research and development, including preclinical research, clinical trials, biologics data management, genetic biomarkers, translational research, and non-clinical (In Vivo) data management.
Benefit Offerings

Benefit Offerings Are Subject To The Terms And Conditions Of The Applicable Plans In Effect At The Time And May Require…

Position Requirements
10+ Years work experience
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