Data Engineer

About the role

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.

Requirements

• 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, or Google BigQuery
• Experience building scalable data pipelines that ingest, transform, and deliver data from diverse sources (EHRs, claims, APIs, CRM) into analytics-ready structures
• Demonstrated desire and ability to tackle new and unfamiliar technical challenges
• Full-time, salaried role with benefits
• No relocation required
• Candidates required to have a suitable home office to operate from

Qualifications

• 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

Desired Qualifications

• Experience with real-time/streaming data tools (Kafka, Kinesis, Pub/Sub)
• Containerization experience (Docker, Kubernetes)
• Cloud or data tool certifications

Benefits

• 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, an annual Professional Development fund, and Signing Bonuses