Data Engineer

Eightelevengroup; BLOOMINGTON, Northern (MN, KY); Hybrid; USD 117,000 - 138,000; Part time

Benefits offered by this job

Remote role

High-visibility project

Direct access to stakeholders

Azure Databricks environment

Job summary

Medasource is seeking a Data Engineer for a remote, contract role to migrate a finance-focused application to Databricks on Azure. You will design pipelines, implement medallion architecture, and collaborate with business stakeholders.

Join a small, high-visibility team delivering end-to-end data solutions in a modern Azure environment, with direct access to subject matter experts and opportunities to shape data governance and platform growth.

Qualifications

• Hands-on data engineering and data modeling experience.
• Strong SQL and Python/PySpark abilities.
• Experience building data pipelines and governance in cloud environments.

Responsibilities

• Migrate data from on-prem Oracle/IBM DataStage to Databricks on Azure.
• Design and build ingestion pipelines and medallion-layer transformations using Python and PySpark.
• Collaborate with stakeholders to gather requirements and translate them into data solutions.

Skills

SQL

Python

PySpark

Data modeling

Data governance

Communication

Ownership

Tools

Databricks

Airflow

Git

Azure Data Factory

Azure Databricks

ADLS

Job description

Data Engineer

Remote Role

Compensation: $85 - $100 per hour

Contract Length: 1 year with possibility of extension

Hours: 8am-5pm CST

Start Date: November 16th, 2026

ABOUT THE ROLE

Our client, is seeking a skilled Data Engineer to join a newly formed data team responsible for migrating a business-critical, finance-focused application from on-premises Oracle and IBM DataStage systems to Databricks on Azure. As one of the first members of this team, you will work directly with the subject matter experts who built the original application, as well as business users, to analyze, model, and migrate data, build ingestion pipelines, and implement medallion architecture transformations using Python and PySpark. This is a remote, contract role that offers high visibility, direct access to key stakeholders, and real ownership of end-to-end solutions. You will help shape the foundation of a growing data team within a modern Azure environment, supporting data governance and collaborating closely with business and technical partners.

WHAT YOU'LL DO

• Migrate data from on-premises Oracle and IBM DataStage systems to Databricks on Azure
• Design and build data ingestion pipelines and silver-layer transformations using Python and PySpark within a medallion (bronze/silver/gold) architecture
• Work directly with business users and subject matter experts to gather requirements, clarify needs, and translate them into effective data solutions
• Analyze and model source data, determining which data elements are needed and how they relate
• Monitor, troubleshoot, and resolve issues in data pipelines, including failures, data quality, and performance problems
• Support and implement data governance practices across the new cloud platform
• Manage code using Git and participate in team-based workflows
• Contribute to the foundation and growth of the new data team as additional full-time staff are hired
• Own problems end-to-end, from initial stakeholder conversations through to production-ready pipelines

WHAT YOU BRING

• Hands-on data engineering experience, including data modeling and integrating data from multiple sources
• Strong SQL skills
• Proficiency in Python and PySpark
• Experience with Python-based orchestration tools
• Git version control
• Databricks experience (strongly preferred)
• Experience across the full development lifecycle, from requirements through delivery, with ownership beyond just delivery team participation
• Strong communication skills and a track record of working directly with business stakeholders to understand and solve their problems
• Natural curiosity and willingness to dig into data and answer foundational questions
• Experience migrating data from on-prem platforms (Oracle, IBM DataStage, or similar ETL tools) to the cloud (nice to have)
• Apache Airflow experience (nice to have)
• Familiarity with financial data (claims, dollars, payments) or healthcare data (nice to have)
• Data governance experience (nice to have)
• Azure data services experience (Azure Databricks, ADLS, Data Factory) (nice to have)
• Familiarity with Power BI as a downstream reporting consumer (nice to have)

WHAT'S IN IT FOR YOU

• High visibility and real ownership as an early member of a new data team
• Direct access to the subject matter experts who built the original system
• A long-term contract on a modern Databricks/Azure stack
• Opportunity to help shape the foundation and culture of a growing data team
• Work on a business-critical, finance-focused application in the healthcare sector

Data Engineer Bloomington, Minnesota

Medasource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

Benefits & Perks:

• Medasource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.