Senior Data Engineer - Tampa FL

Job Description

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post.

Summary:

As a Senior Data Engineer in Research IT, you will play a critical role supporting Bristol Myers Squibb's Foundational Data Products, including CoreReg, Substance Mart, DARE, and Asset Mart. You will be responsible for designing, developing, and maintaining scalable data pipelines, ensuring data quality, and enabling data-driven decision-making that accelerates our research and development mission. Working at the intersection of cutting-edge technology and life-changing science, you will collaborate closely with data scientists, researchers, and IT professionals to deliver solutions that matter.

Key Responsibilities:

Data Pipeline Development: Design, develop, and maintain robust and scalable data pipelines supporting Foundational Data Products (CoreReg, Substance Mart, DARE, and Asset Mart)

Data Integration: Integrate data from diverse sources, ensuring consistency, quality, and accessibility across platforms

Data Management: Implement best practices in data governance, data quality, and data security

Collaboration: Partner closely with data scientists, researchers, and cross-functional stakeholders to understand data requirements and deliver impactful solutions

Performance Optimization: Optimize data processing workflows for performance and scalability

Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and integration processes

Troubleshooting: Proactively identify and resolve data-related issues, ensuring reliability and accuracy

Innovation: Stay current with the latest technologies and best practices in data engineering and apply them to continuously improve processes

Additional Qualifications/Responsibilities

Qualifications & Experience:

Required:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field

Minimum of 5-7 years of experience in data engineering or a related role

Proficiency in Databricks with a strong focus on data engineering

Strong SQL skills and experience with relational databases

Proficiency in programming languages such as Python, Java, or Scala

Familiarity with cloud platforms (e.g., AWS, Azure, GCP)

Experience with data warehousing and data lakehouse solutions (e.g., Redshift, BigQuery, Snowflake)

Experience with ETL tools (e.g., Glue Studio, Informatica PowerCenter)

Excellent problem-solving and communication skills; ability to work effectively in a collaborative team environment

Preferred:

Experience with data visualization tools (e.g., Spotfire, Tableau, Power BI)

Knowledge of machine learning and data science concepts

Experience with regulatory compliance and data privacy standards

Understanding of the pharmaceutical or healthcare industry

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Compensation Overview:

Princeton - NJ - US: $137,530 - $166,654
Tampa - FL - US: $137,530 - $166,654