Data Engineer

Who We Are

Prominence is a healthcare technology strategy and implementation firm, focused on helping the nation’s leading healthcare organizations to do more with their data. Founded by former Epic managers, we understand the technology landscape in healthcare and provide IT staffing, advisory services, and analytics solutions to create robust data ecosystems that support clinical workflows, automate operational processes, and expedite research. Whether it’s guiding a technology implementation, establishing governance principles, or developing leading edge analytics, we help our customers make sense out of the mountain of data at their fingertips in order to deliver higher quality care at a lower cost.

Ranked as a best place to work over 27 times (and counting!), Prominence’s culture provides consultants with a supportive environment that allows you to innovate and grow your career in healthcare IT. Additional information is available on our website.

Our consultants guide our customers through complex data challenges to summit the task  a Data Engineer, you will design, build, and maintain pipelines and workflows that enable our customers to put their data to work. You will need to be able to create order out of chaos, transforming raw sources into clean, reliable, and scalable data streams.

Our ideal team members are humble, smart, and driven to ensure our customer's success. This includes a passion to deliver high-quality results, while teaching our counterparts how to fish and grow the skills needed to support and expand upon the deliverables of our projects.

If this sounds like you, and you meet the requirements below, we encourage you to apply. If you know of someone else who would be a great fit, let us know.

Prominence is looking for a Data Engineer with strong experience in SQL and Python to help us build and optimize data pipelines in partnership with some of the nation’s leading healthcare providers. Our ideal candidate has hands‑on experience with cloud‑based data platforms such as Snowflake, Databricks, Azure Data Factory, AWS Redshift, or Google Big Query.

You should be able to build scalable data pipelines that ingest, transform, and deliver data from diverse sources (EHRs, claims, APIs, CRM) into analytics-ready structures. More important than any single tool is the demonstrated desire and ability to tackle new and unfamiliar technical challenges.

This position is a full-time, salaried role with benefits. There is no relocation required. Candidates are required to have a suitable home office to operate from.

• 2–5+ years of professional experience in data engineering or related roles
• Strong SQL skills, including query optimization and debugging
• Proficiency in Python (or another programming/scripting language such as Scala or Java)
• Hands‑on experience with at least one of the following:
• Snowflake
• Databricks
• Azure Data Factory
• AWS Redshift
• Google Big Query
• dbt or similar transformation tools
• Apache Airflow or other orchestration frameworks
• Familiarity with ETL/ELT principles, data warehousing, and data modeling concepts
• Experience with cloud services (AWS, Azure, or GCP)

• Healthcare industry knowledge and experience (Epic, HL7, FHIR, claims)
• Experience with CI/CD pipelines, Git, and Dev Ops workflows
• Familiarity with Infrastructure-as-Code tools (Terraform, Cloud Formation)
• Experience with real-time/streaming data tools (Kafka, Kinesis, Pub/Sub)
• Containerization experience (Docker, Kubernetes)
• Cloud or data tool certifications

Successful team members at Prominence display the following:

• High degree of professionalism; treats others with respect, keeps commitments, builds trust within a team, works with integrity, and upholds…