Description
We are looking for an experienced Data Engineer to join a team in Madison, Wisconsin, in a contract capacity with the potential for a permanent role. This position will focus on building and optimizing modern data solutions that support scientific and business decision-making, with particular relevance to bioinformatics and life sciences data. The ideal candidate brings deep expertise in cloud-based data engineering, strong hands-on experience with Databricks and Azure, and the ability to collaborate effectively with technical and non-technical partners.
Responsibilities:
Design, build, and maintain scalable data pipelines and integration workflows that support reporting, analytics, and downstream scientific applications.
Develop and optimize cloud-based data platforms using Databricks, Python, Spark, and Delta Lake to manage large and complex datasets efficiently.
Create and enhance data models, database objects, and processing logic within relational database environments to improve reliability and performance.
Implement data warehousing practices that enable trusted, organized, and accessible data for research and operational use.
Work with biological, genomic, and other omics data to support analysis, interpretation, and delivery of usable datasets for life sciences teams.
Partner with stakeholders across IT, research, and business functions to translate data needs into practical engineering solutions.
Apply strong analytical thinking to troubleshoot data issues, refine processes, and ensure alignment with scientific requirements.
Contribute within Agile delivery environments by participating in planning, iterative development, and cross-functional collaboration.
Requirements
Bachelor's degree in Computer Science, Information Systems, Bioinformatics, Computational Biology, or a closely related discipline; an advanced degree is a plus.
At least 7 years of experience in data integration, reporting, and the design or operation of cloud-based data platforms.
Advanced hands-on experience with Databricks technologies, including Python, Spark, and Delta Lake.
Strong command of relational databases, including development of queries, stored procedures, and related database functions.
Solid understanding of data warehousing principles and established best practices for managing enterprise data.
Experience working within Microsoft Azure environments; familiarity with Microsoft Fabric is beneficial.
Practical exposure to bioinformatics or life sciences data, such as genomic, sequence, omics, or phenotypic datasets, is strongly preferred.
Legal authorization to work in the United States is required.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: rhalfint
- Position Id: 04620-0013473590
- Posted 2 hours ago
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