Healthcare Claims Management offers a competitive compensation package, comprehensive medical, dental, and vision coverage, life insurance, flexible time off, and a 401(k) plan with company matching. The culture emphasizes collaboration, continuous learning, and opportunities for growth across engineering, analytics, and business teams. This hybrid role in Indianapolis, Indiana, invites a Senior Data Engineer to design, build, and optimize enterprise-grade data integration and analytics platforms while providing technical leadership across the organization.
What we offer
- Competitive compensation package, commensurate with experience
- Medical, Dental & Vision Insurance
- Life Insurance
- Flexible Time Off
- 401(k) Plan with company match
- Employee assistance program
- Flexible schedule
- Paid time off
- Dental insurance
- Vision insurance
Responsibilities
- Design, develop, and maintain scalable, reliable data pipelines using distributed data processing frameworks and cloud analytics platforms.
- Architect complex data ingestion, transformation, and integration workflows to support analytics and reporting needs.
- Lead data modeling and data architecture decisions to ensure accuracy, performance, and scalability.
- Provide deep expertise in SQL Server or equivalent relational databases, including query optimization and performance tuning.
- Optimize, automate, and monitor production data pipelines to ensure high availability and data integrity.
- Collaborate closely with analytics, engineering, and business stakeholders to deliver high-quality data solutions.
- Mentor team members and contribute to shared engineering standards, best practices, and documentation.
- Support a culture of continuous learning, knowledge sharing, and process improvement within the data engineering team.
Requirements
- Extensive experience working with SQL Server or similar relational database platforms
- Advanced proficiency in SQL and Python
- Experience building and maintaining cloud-based data pipelines
- Strong communication, collaboration, and mentorship skills
Technologies
- Microsoft Azure
- Azure Databricks
- Microsoft Fabric
- Delta Lake
- Azure Data Factory
- Azure SQL Database
- Power BI
- Azure DevOps
- GitHub Actions
Work environment and location
Location: Hybrid role based in Indianapolis, IN.
Schedule: Full-time; in-office a minimum of three days per week (four days preferred).
Work environment: Highly collaborative, team-oriented office environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the role.
Join us
In this role, you will contribute to building the data foundation that powers analytics, automation, and intelligent decision making across the organization. If you are an experienced data engineer who enjoys solving complex problems, mentoring teammates, and making a meaningful impact in a growing Healthcare FinTech company, consider applying to join our team.
