Data Engineer I

We’re looking for a Data Engineer I to join our healthcare analytics platform team. In this role, you’ll help build and support scalable data pipelines that power data-driven healthcare decisions for millions of members. You’ll work closely with experienced engineers in a collaborative, learning-oriented environment where curiosity and growth are encouraged.

Primary Responsibilities:

Build & Maintain Data Pipelines

• Develop and maintain data pipelines using Spark SQL within a modern lakehouse architecture
• Support ETL/ELT processes for healthcare claims data (medical, pharmacy, eligibility)
• Write clear, well-documented code and participate in peer code reviews

 Collaborate & Learn

• Partner with senior engineers to learn data architecture and design patterns
• Work with analysts and stakeholders to translate data needs into technical solutions
• Contribute to technical documentation and team knowledge sharing
• Participate in agile practices such as sprint planning, standups, and retrospectives

Support Quality & Reliability

• Monitor pipeline performance and help troubleshoot data issues
• Assist with production support alongside senior team members
• Learn and apply quality, risk, and data validation standards

Required Qualifications
Technical Foundation

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field — or equivalent practical experience
• 0–2 years of relevant experience in data engineering, software engineering, or a related technical role
• Working knowledge of SQL and relational databases
• Experience with Python or similar programming languages
• Familiarity with version control tools such as Git

Ways of Working

• Strong problem-solving and analytical skills
• Care and attention to detail, especially with data accuracy
• Clear communication skills and a collaborative mindset
• Motivation to learn, grow, and build technical expertise

Nice to Have (Not Required)

• Exposure to Apache Spark or Spark SQL
• Experience with cloud platforms (Azure, AWS, or GCP)
• Familiarity with data warehousing or lakehouse concepts
• Experience working with healthcare data or other regulated industries
• Exposure to CI/CD pipelines, automated testing, or Databricks
• Interest in AI-assisted development tools and modern engineering practices

Technical Environment

• Languages: Python, SQL, Spark SQL
• Data Platforms: Azure Databricks, Delta Lake
• Cloud & DevOps: Azure, Azure DevOps, Git, CI/CD pipelines
• Data Domains: Healthcare claims, risk adjustment, population health