

OMTECH
Senior Healthcare Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Healthcare Data Engineer on a contract-to-hire basis in Minneapolis, MN, with a pay rate of $145,000 - $155,000 per year. Key skills include SQL, Python/PySpark, Airflow, and healthcare data experience. A Bachelor's degree and 4+ years in data engineering are required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
704
-
ποΈ - Date
November 27, 2025
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Bloomington, MN 55425
-
π§ - Skills detailed
#Mathematics #NoSQL #Data Manipulation #Airflow #Spark SQL #Automation #Azure Data Factory #MongoDB #Data Profiling #Databases #DAX #Data Modeling #Version Control #GIT #Libraries #SQL Server #ADF (Azure Data Factory) #Azure #JSON (JavaScript Object Notation) #Computer Science #Data Engineering #Databricks #Microsoft Azure #Spark (Apache Spark) #Microsoft Power BI #Statistics #BI (Business Intelligence) #Datasets #Data Processing #PySpark #Data Science #Pandas #Distributed Computing #Scrum #Snowflake #NumPy #R #Matplotlib #PowerApps #Oracle ERP #Cloud #Jupyter #Oracle #Python #SQL (Structured Query Language) #Synapse #Agile #Batch
Role description
Senior Data Engineer - Healthcare
Contract-to-Hire (CTH) or 12-Month Contract
Minneapolis, MN
Must complete a coding assessment and pass
Must Have:
Strong SQL skills and experience working with complex datasets
Python and/or PySpark
Experience with orchestration tools (Airflow preferred)
Git for version control
Databricks
Strong curiosity and willingness to explore data in depth
Airflow orchestration experience
Healthcare data experience
Exposure to Power BI or similar reporting tools
Required Qualifications
Bachelorβs degree in Computer Science, Data Science, Statistics, Engineering, Economics, Mathematics, or a related quantitative field (Masterβs degree may substitute for some experience).
4+ years of hands-on Data Engineering experience.
4+ years working with Python and/or R for data manipulation.
4+ years of SQL experience (PL/SQL, PySpark SQL, or similar).
Experience with CI/CD workflows and Git-based version control.
Solid understanding of data modeling (Star/Snowflake schemas, 3NF, denormalized models).
Familiarity with common data formats such as Parquet, Delta, Avro, JSON, and CSV.
Understanding of batch and real-time data processing patterns, partitioning, and distributed computing.
Strong data profiling and analytical skills β ability to uncover patterns, troubleshoot data issues, and solve complex problems.
Self-driven, curious, creative, and proactive mindset.
Strong communication skills with the ability to collaborate with technical and non-technical partners.
Ability to contribute effectively within cross-functional development or operations teams.
Preferred Qualifications
Experience with Oracle ERP or finance-related datasets
Understanding of healthcare operations or claims data
Basic knowledge of accounting principles
Exposure to Agile/Scrum delivery practices
Experience working in hybrid cloud environments (on-prem + cloud)
Experience with relational databases (Oracle, SQL Server)
Experience in tuning SQL/Oracle queries, stored procedures, and performance optimization
Python libraries for analytics (NumPy, Pandas, Matplotlib) and Jupyter notebooks
Familiarity with CI/CD automation, continuous testing, or SRE practices
Experience with Microsoft Azure data ecosystem:
Azure Data Factory
Synapse
Databricks / Spark
Purview
Power BI / PowerApps
Exposure to NoSQL databases (MongoDB preferred)
Experience building Power BI data models using Power Query and DAX
Job Types: Full-time, Contract
Pay: $145,000.00 - $155,000.00 per year
Work Location: In person
Senior Data Engineer - Healthcare
Contract-to-Hire (CTH) or 12-Month Contract
Minneapolis, MN
Must complete a coding assessment and pass
Must Have:
Strong SQL skills and experience working with complex datasets
Python and/or PySpark
Experience with orchestration tools (Airflow preferred)
Git for version control
Databricks
Strong curiosity and willingness to explore data in depth
Airflow orchestration experience
Healthcare data experience
Exposure to Power BI or similar reporting tools
Required Qualifications
Bachelorβs degree in Computer Science, Data Science, Statistics, Engineering, Economics, Mathematics, or a related quantitative field (Masterβs degree may substitute for some experience).
4+ years of hands-on Data Engineering experience.
4+ years working with Python and/or R for data manipulation.
4+ years of SQL experience (PL/SQL, PySpark SQL, or similar).
Experience with CI/CD workflows and Git-based version control.
Solid understanding of data modeling (Star/Snowflake schemas, 3NF, denormalized models).
Familiarity with common data formats such as Parquet, Delta, Avro, JSON, and CSV.
Understanding of batch and real-time data processing patterns, partitioning, and distributed computing.
Strong data profiling and analytical skills β ability to uncover patterns, troubleshoot data issues, and solve complex problems.
Self-driven, curious, creative, and proactive mindset.
Strong communication skills with the ability to collaborate with technical and non-technical partners.
Ability to contribute effectively within cross-functional development or operations teams.
Preferred Qualifications
Experience with Oracle ERP or finance-related datasets
Understanding of healthcare operations or claims data
Basic knowledge of accounting principles
Exposure to Agile/Scrum delivery practices
Experience working in hybrid cloud environments (on-prem + cloud)
Experience with relational databases (Oracle, SQL Server)
Experience in tuning SQL/Oracle queries, stored procedures, and performance optimization
Python libraries for analytics (NumPy, Pandas, Matplotlib) and Jupyter notebooks
Familiarity with CI/CD automation, continuous testing, or SRE practices
Experience with Microsoft Azure data ecosystem:
Azure Data Factory
Synapse
Databricks / Spark
Purview
Power BI / PowerApps
Exposure to NoSQL databases (MongoDB preferred)
Experience building Power BI data models using Power Query and DAX
Job Types: Full-time, Contract
Pay: $145,000.00 - $155,000.00 per year
Work Location: In person






