Sr. Data Engineer
About the role
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.
As a Senior Data Engineer, this seasoned professional will demonstrate competence and creativity in a wide range of technical areas. This role will have a lead role in the design, development, and testing of software applications for Exact Sciences, creating expert design concepts and foolproof debugging.
This role is based in Madison, WI.
Responsibilities
- Troubleshoot issues and problems of medium complexity for major software applications; break down complex tasks, make reasonable decisions, investigate and fix bugs, and operate independently.
- Initiate independent designs that impact and influence the department’s delivery and approach.
- Lead reviewing design alternatives, problems, and solutions with an eye on limiting the need for later problem solving.
- Consistently influence and make significant decisions within a project, demonstrating good judgment in selecting methods and techniques for obtaining solutions based in a solid understanding of business strategy and best practices with minimal instructions for difficult or unpredictable situations.
- Contribute individual capabilities to the achievement of group objectives, and work effectively with others in a group setting.
- Build successful internal and external partnerships with peers, SMEs, stakeholders, and decision-makers.
- Communicate clear and concise project plans/designs and status updates for a project.
- Ability to work nights and/or weekends, as needed.
- Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
- Support and comply with the company’s Quality Management System policies and procedures.
- Maintain regular and reliable attendance.
- Ability to act with an inclusion mindset and model these behaviors for the organization.
Requirements
- Bachelor’s Degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering; or High School Diploma/General Education Degree and 4 years of relevant experience as outlined in the essential duties in lieu of Bachelor’s Degree.
- Complete knowledge and full understanding of software development design and development, and relevant domain specific skills.
- Spark on Snowflake or Databricks.
- Python, Scala, SQL development.
- ETL data pipelines.
- Designing and implementing data modeling solutions using relational, dimensional, and/or NoSQL databases.
- Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
- Big Data file formats (Parquet, Avro, Delta Lake).
- Cloud Infrastructure services (i.e., AWS, SQS, S3, and GitLab).
- Agile development tools; including, but not limited to, JIRA, Confluence repository.
- RestAPI development.
- Tableau, ideally including performance optimization.
Qualifications
Preferred qualifications include an advanced understanding of Model Context Protocol (MCP), including consuming packaged MCP integrations (e.g., Atlassian), configuring custom MCP servers, and developing MCP and skills integrations to extend AI tooling within data workflows.
Familiarity with customer data platform (CDP) concepts, Braze or other patient/provider communications workflows/processes is also preferred.
Pay
The base pay for this position is $78,000.00 – $156,000.00. In specific locations, the pay range may vary from the range posted.