Prominence Advisors-posted 3 months ago
Full-time • Mid Level
11-50 employees

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. Our consultants guide our customers through complex data challenges to summit the task at hand. As 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.

  • Design, build, and maintain data pipelines and workflows.
  • Transform raw data sources into clean, reliable, and scalable data streams.
  • Collaborate with healthcare providers to optimize data pipelines.
  • Ensure high-quality results and mentor counterparts in data engineering.
  • 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 BigQuery.
  • 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 DevOps workflows.
  • Familiarity with Infrastructure-as-Code tools (Terraform, CloudFormation).
  • Experience with real-time/streaming data tools (Kafka, Kinesis, Pub/Sub).
  • Containerization experience (Docker, Kubernetes).
  • Cloud or data tool certifications.
  • 15 days PTO and up to 16 paid Holidays each year for full-time staff.
  • Diverse healthcare offering, including low and high deductible health plans, HSAs, LTD/STD Insurance, Health and Dependent Savings Accounts, Vision, Dental.
  • 401k offering.
  • Annual Professional Development fund.
  • Signing Bonuses.
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