Data Engineer

On-Demand Group; BLOOMINGTON (MN); On-site; USD 229,232,640 - 257,886,720; Full time

Benefits offered by this job

Healthcare

Dental insurance

Vision insurance

Job summary

On-Demand Group is seeking a Data Engineer to join a growing data team focused on building reliable, scalable cloud data pipelines supporting critical healthcare data.

The role emphasizes designing, building, and maintaining ETL/ELT pipelines using Azure, Databricks, Python, and SQL, with a focus on data quality and collaboration across cross-functional teams. The position offers an hourly wage range and comprehensive benefits.

Qualifications

• 2+ years of Data Engineering experience.
• Strong Python and SQL skills.
• Hands-on experience with Azure Data Factory, Databricks, and cloud data platforms.
• Experience building and supporting ETL/ELT pipelines.
• Strong troubleshooting and problem-solving abilities.
• A proactive mindset with a focus on data quality, ownership, and continuous improvement.

Responsibilities

• Design, build, and maintain data pipelines using Azure, Databricks, Python, and SQL.
• Develop ETL/ELT processes for large, complex datasets.
• Investigate data issues, perform root cause analysis, and improve data reliability.
• Implement data quality checks, validation frameworks, and monitoring.
• Adapt pipelines to changing vendor data formats and business needs.
• Collaborate with cross-functional teams to deliver trusted data solutions.
• Support production environments and contribute to engineering best practices.

Skills

Python

SQL

Data Engineering

Tools

Azure Data Factory

Databricks

Cloud Data Platforms

Job description

We\'re looking for a Data Engineer to join a growing data team focused on building reliable, scalable cloud data pipelines supporting critical healthcare data.

What You\'ll Do

• Design, build, and maintain data pipelines using Azure, Databricks, Python, and SQL
• Develop ETL/ELT processes for large, complex datasets
• Investigate data issues, perform root cause analysis, and improve data reliability
• Implement data quality checks, validation frameworks, and monitoring
• Adapt pipelines to changing vendor data formats and business needs
• Collaborate with cross-functional teams to deliver trusted data solutions
• Support production environments and contribute to engineering best practices

What We\'re Looking For

• 2+ years of Data Engineering experience
• Strong Python and SQL skills
• Hands-on experience with Azure Data Factory, Databricks, and cloud data platforms
• Experience building and supporting ETL/ELT pipelines
• Strong troubleshooting and problem-solving abilities
• A proactive mindset with a focus on data quality, ownership, and continuous improvement

Nice to Have

• Healthcare, pharmacy, or claims data experience
• Experience with hybrid cloud/on-prem environments
• Exposure to Git, CI/CD, Jira, or ServiceNow

Why This Role?

• Hands-on cloud engineering work with modern Azure technologies
• Opportunity to make a direct impact on data quality and platform modernization
• Collaborative team with opportunities to influence engineering best practices

The projected hourly range for this position is $80-$90

On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.