Senior Data Engineer - Data Integration & Analytics Platforms

Responsibilities

• Design, develop, and maintain scalable data pipelines using distributed processing frameworks and cloud analytics platforms.
• Architect complex ingestion, transformation, and integration workflows to meet analytics and reporting needs.
• Lead data modeling and data architecture decisions to ensure accuracy, performance, and scalability.
• Capitalize on deep SQL Server expertise, including query optimization and performance tuning.
• Automate, monitor, and optimize production pipelines to maintain high availability and data integrity.
• Collaborate with analytics, engineering, and business stakeholders to deliver high-quality data solutions.
• Mentor team members and contribute to engineering standards, best practices, and documentation.
• Foster a culture of continuous learning, knowledge sharing, and process improvement within the data engineering team.

Requirements

• Extensive experience 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

Benefits

• Compensation package
• Medical, Dental & Vision Insurance
• Life Insurance
• Flexible Time Off
• 401(k) Plan
• Additional Benefits
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible schedule
• Health insurance
• Paid time off
• Vision insurance

What we offer

• Competitive compensation commensurate with experience
• Comprehensive medical, dental, and vision plans for you and your family
• Employee life insurance coverage
• Flexible time off for a balanced work-life experience
• Company 401(k) with matching to support long-term goals
• Paid holidays, collaborative team culture, and opportunities for growth

Join us

At Healthcare Claims Management, you will help build the data foundation that powers analytics, automation, and intelligent decision-making across the organization. The role suits a seasoned data engineer who enjoys solving complex problems, mentoring colleagues, and making a meaningful impact in a growing Healthcare FinTech environment.

Work Environment & Physical Requirements

Location: Hybrid role based in Indianapolis, IN. Schedule: Full-time with in-office presence a minimum of three days per week (four days preferred). Work environment is highly collaborative and team-oriented, with reasonable accommodations available to support essential duties.

Minimum Qualifications

• Extensive experience 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.

Preferred Platforms & Tools

• Microsoft Azure
• Azure Databricks, Microsoft Fabric, Delta Lake
• Azure Data Factory
• Azure SQL Database
• Power BI
• CI/CD tools such as Azure DevOps or GitHub Actions

Education

Bachelor's degree preferred.

Experience

• Microsoft Azure: 3 years required
• Power BI: 3 years required
• SQL: 4 years required
• Python: 4 years required
• Building cloud-based data pipelines: 3 years required

Work Location

Hybrid remote in Indianapolis, IN 46230