Data Engineer - Techgroup America Inc.

We are seeking a highly skilled and motivated Senior Data Engineer to join our healthcare data engineering team. This role is focused on delivering high-quality, modern data solutions in a fast-paced, agile environment. You will work closely with engineering, analytics, data science, and product teams to build and maintain scalable data pipelines both on-prem and in the cloud.

This is a great opportunity to contribute to meaningful projects that directly impact how healthcare data is processed, interpreted, and delivered to improve patient outcomes and operational efficiency.

Must-Haves:

• 6+ years of experience working with SQL and relational database management systems

• 4+ years of experience with Cloud technologies

• 3+ years specifically with Microsoft SQL Server

• Strong familiarity with Azure

• Proficiency in programming and modifying code in languages like SQL, Python, and PySpark

• Experience supporting and implementing Cloud-based and on-prem data warehousing services

• Hands-on experience with:

  • Dimensional data modeling, schema design, and data warehousing concepts

  • Troubleshooting data issues and ensuring data quality

  • Performance tuning and applying performance improvement techniques

• Strong analytical mindset with willingness to identify and implement process improvements and best practices

• Ability to take full ownership in a fast-paced, collaborative, team-based support environment

• Excellent oral and written communication skills

Nice to Haves / Plusses:

• Experience with Databricks

• Familiarity with healthcare data, especially healthcare insurance feeds such as Claims, Revenue, Rx, Medicare-specific files

Day-to-Day Responsibilities:

• Collaborate with data engineers, data scientists, analysts, and product teams to design and implement scalable data pipelines

• Process and transform healthcare data (e.g., claims, Rx, revenue, Medicare files) from 30+ payors into the enterprise data warehouse

• Support cloud migrations and modernization of existing on-premise data infrastructure

• Use SQL, Python, and PySpark to build efficient, reusable data workflows

• Ensure data quality, integrity, and performance

• Participate in troubleshooting, root cause analysis, and remediation of data-related issues

• Continuously evaluate and adopt emerging technologies and tools to enhance data capabilities

• Drive best practices in data architecture, coding standards, and development methodologies

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.