

TPI Global Solutions
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Analytic Data Engineer with 3-10+ years of healthcare data experience, including HEDIS. Contract duration is 6-12 months, remote work, with a pay rate of "TBD." Key skills include Python, PySpark, ETL, and GCP tools.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
June 16, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#GCP (Google Cloud Platform) #Programming #Apache Spark #Unix #Informatica #SQL (Structured Query Language) #Python #"ETL (Extract #Transform #Load)" #Tableau #PySpark #BI (Business Intelligence) #Spark (Apache Spark) #Databases #Data Engineering #Data Integration #Microsoft Power BI #Data Pipeline #Oracle #Teradata #Databricks
Role description
Job Title: Senior Analytic Data Engineer (Python/Power BI)
Job Location: 100% Remote role
Project Duration: 6-12 Months with possible extension/ Contract to Hire
Note:
Recent Healthcare domain experience required (HEDIS experience preferred)
Candidate will be required to complete a client video-based Glider Assessment prior to submission
Assessment link will be shared via email and must be completed for consideration.
Work Authorization: US-based candidates with valid authorization (US- W2 or C2C if Self Corp,or US on C2C -Nospcr)
Job Summary
We are seeking a Senior Analytic Data Engineer to join our technical team, with primary responsibilities spanning the design, development, and maintenance of our organizational data and programming infrastructure for Hedis. This role is critical for establishing and maintaining efficient and reliable data flow across diverse systems feeding our Hedis Engines for regulatory reporting.
Key Skills:
• 3 to 10+ years in experience in developing data solutions in healthcare with data pipeline and workflow management tools (e.g., Apache Spark(Dataproc), GCP Tools, Databricks, PySpark), ETL and Data Integration pipelines in Python, PySpark and knowledge of Informatica is a plus, On Prem databases like Oracle, Teradata and DB2
• Python / PySpark, ETL & data pipelines, SQL experience
• GCP / Databricks / Apache Spark
• Power BI (preferred) / Tableau
• SQL, Unix, Oracle / Teradata / DB2
• Healthcare data experience (HEDIS is a plus)
Job Title: Senior Analytic Data Engineer (Python/Power BI)
Job Location: 100% Remote role
Project Duration: 6-12 Months with possible extension/ Contract to Hire
Note:
Recent Healthcare domain experience required (HEDIS experience preferred)
Candidate will be required to complete a client video-based Glider Assessment prior to submission
Assessment link will be shared via email and must be completed for consideration.
Work Authorization: US-based candidates with valid authorization (US- W2 or C2C if Self Corp,or US on C2C -Nospcr)
Job Summary
We are seeking a Senior Analytic Data Engineer to join our technical team, with primary responsibilities spanning the design, development, and maintenance of our organizational data and programming infrastructure for Hedis. This role is critical for establishing and maintaining efficient and reliable data flow across diverse systems feeding our Hedis Engines for regulatory reporting.
Key Skills:
• 3 to 10+ years in experience in developing data solutions in healthcare with data pipeline and workflow management tools (e.g., Apache Spark(Dataproc), GCP Tools, Databricks, PySpark), ETL and Data Integration pipelines in Python, PySpark and knowledge of Informatica is a plus, On Prem databases like Oracle, Teradata and DB2
• Python / PySpark, ETL & data pipelines, SQL experience
• GCP / Databricks / Apache Spark
• Power BI (preferred) / Tableau
• SQL, Unix, Oracle / Teradata / DB2
• Healthcare data experience (HEDIS is a plus)






