Senior Data Engineer

Bristol Myers Squibb

Hybrid

Quick summary

Work type: Hybrid
Location: Tampa, FL
Salary: $147,948–$157,550 / yr
Posted: 1 day ago
Closes: Jul 13, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k

This role $153k

$125k most similar roles pay here $224k

This role pays less than 69% of similar roles. Most pay $135,000–$202,796 — the shaded band above. At the midpoint, this role pays about $153k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Bristol Myers Squibb

Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients.

Bristol Myers Squibb currently has 36 open roles on FindRole.

Listed pay typically runs $137,530–$165,315 across 36 roles with salary data.

Most-posted roles

View all roles at Bristol Myers Squibb

At a glance

TL;DR · Senior Data Engineer

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As a Senior Data Engineer at our company, you will join a dynamic team focused on integrating data products from various source systems to ensure quality and scalability using cloud platforms. Your daily responsibilities include collaborating with business users to gather requirements and design comprehensive mapping documents for clinical databases, implementing incremental load strategies, conducting unit testing, and troubleshooting data issues. You will also support enterprise data warehousing operations and engage with scientific teams to integrate biospecimen data and patient annotation datasets. Key technologies and tools you’ll work with include Amazon Web Services (AWS), Informatica PowerCenter, Apache Hadoop, Snowflake, and SQL engines like SQL Server and Oracle. This role requires expertise in migrating clinical databases to cloud-based solutions, developing ETL processes, optimizing queries, and applying biopharmaceutical research standards.

Skills

AWS Snowflake Informatica Apache Hadoop Hive SQL NoSQL Apache Spark Spotfire Tableau Postgres Impala Lambda Glue Athena Redshift S3 Data Zone PowerCenter

What you'll do

Integrate data products from diverse systems for quality, performance, and scalability.
Define requirements and create mapping documents for clinical and pre-clinical databases.
Design incremental load strategies to enhance efficient data processing.
Conduct unit testing and troubleshoot data quality issues across platforms.
Support enterprise data warehousing operations for seamless ETL processes.

What we're looking for

5+ years of experience migrating clinical databases from on-premise to cloud-based data lakes and warehouses.
Proficient in using tools like LabMatrix, Informatica, Myriad, and AWS services for designing scalable data solutions.
Expertise in developing ETL processes with AWS Glue, Lambda, and Informatica PowerCenter for serverless applications.
Skilled in optimizing SQL and NoSQL queries for efficient data processing across various engines.
Experience integrating Apache Spark with AWS Athena for real-time data analytics and processing.
Capable of applying biopharmaceutical research protocols and standards in preclinical and clinical settings.

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