Senior Data Engineer

Bristol Myers Squibb

Quick summary

Work type: On-site
Location: Princeton, NJTampa, FL
Salary: $137,530–$166,654 / yr
Posted: 5 days ago
Closes: Aug 31, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $170k

This role $152k

$125k most similar roles pay here $220k

This role pays less than 68% of similar roles. Most pay $135,000–$205,000 — the shaded band above. At the midpoint, this role pays about $152k versus about $170k 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 31 open roles on FindRole.

Listed pay typically runs $137,530–$166,654 across 31 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 in Research IT at Bristol Myers Squibb, you will support foundational data products such as CoreReg, Substance Mart, DARE, and Asset Mart by designing and maintaining scalable data pipelines. Your daily tasks include integrating diverse data sources, ensuring data quality and security, collaborating with cross-functional teams to deliver impactful solutions, and optimizing performance. You will work with technologies like Databricks, SQL, Python, Java, or Scala, alongside cloud platforms such as AWS, Azure, and GCP, and data warehousing solutions including Redshift and Snowflake. This role requires a deep understanding of ETL tools and the ability to stay current with emerging data engineering practices in the pharmaceutical industry.

Skills

Databricks Python Java Scala SQL AWS Azure GCP Redshift BigQuery Snowflake Glue Studio Informatica PowerCenter CI/CD Documentation Troubleshooting Data Warehousing ETL Tools Cloud Platforms

What you'll do

Design and develop robust data pipelines for Foundational Data Products.
Ensure consistent integration of data from diverse sources across platforms.
Implement best practices in data governance, quality, and security.
Optimize data processing workflows for performance and scalability.
Proactively troubleshoot and resolve issues to maintain data accuracy.

What we're looking for

Minimum 5-7 years of experience in data engineering or a related role.
Proficiency in Databricks and SQL with strong relational database skills.
Expertise in Python, Java, or Scala programming languages.
Experience with cloud platforms (AWS, Azure, GCP) and data warehousing solutions.
Familiarity with ETL tools such as Glue Studio and Informatica PowerCenter.
Strong problem-solving and communication skills for collaborative work.

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