Analytic Data Engineer

Analytic Data Engineer

Posted Today by RADGOV INC

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Negotiable
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Remote
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Apache Spark Azure Databricks Cloud Computing Cloud Technology Databricks Data Engineering Data Flow Diagram Data Integration Data Pipeline Extract Transform Load (ETL) Generic Programming Google Cloud Google Cloud Platform (GCP) IBM DB2 Informatica Life Cycle Planning Management Microsoft Azure On Prem Platform Tools Power BI Pyspark Python (Programming Language) Software Development Software Development Life Cycle SQL (Programming Language) Tableau (Business Intelligence Software) Unix Workflows

Summary: The role of Senior Analytic Data Engineer is a remote position focused on designing, developing, and maintaining data and programming infrastructure for a major healthcare provider. The candidate will be responsible for ensuring efficient data flow for regulatory reporting, particularly for Hedis. Key qualifications include expertise in ETL architecture, cloud-based platforms, and strong programming skills in Python and Power BI. This position requires a deep understanding of data engineering solutions and the Software Development Life Cycle (SDLC).

Key Responsibilities:

  • Design, develop, and maintain organizational data and programming infrastructure for Hedis.
  • Establish and maintain efficient and reliable data flow across diverse systems.
  • Implement advanced data engineering solutions leveraging full SDLC experience.
  • Translate requirements, design mockups, and user stories into technical designs.
  • Ensure data-related code is fault-tolerant, efficient, and maintainable.

Key Skills:

  • 3 years of experience with data pipeline and workflow management tools (e.g., Apache Spark, Google Cloud Platform Tools, Databricks, PySpark).
  • 3 years of experience building ETL and Data Integration pipelines in Python, with knowledge of Informatica as a plus.
  • 3 years of experience in reporting tools like Power BI & Tableau (Power BI preferred).
  • 3 years of experience with On-Prem databases like Oracle, Teradata, and DB2.
  • 3 years of experience with Cloud platforms (Google Cloud Platform and Azure) and their respective data services.
  • 3 years of deep SQL and Unix experience.
  • 3 years of experience designing solutions or developing data solutions in healthcare, with Hedis experience as a big plus.
  • 3 years of experience translating requirements into technical designs.
  • 3 years of experience with data-related code that is fault-tolerant, efficient, and maintainable.

Salary (Rate): £75 hourly

City: Pittsburgh

Country: USA

Working Arrangements: remote

IR35 Status: inside IR35

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

We are hiring for Senior Analytic Data Engineer REMOTE Role

Position Details:

Client: Major Healthcare Provider

Employment Type: Contract

Location: Remote (Pittsburgh, PA)

Position Title: Senior Analytic Data Engineer REMOTE

Pay Rate: $75 - $85 hourly on W2

Job Description:

100% Remote
M-F : 9 to 5
Candidate must complete "Senior Analytic Data Engineer (Python/Power BI) Glider assessment"
Preferred Experience
3 years of experience with data pipeline and workflow management tools (e.g., Apache Spark(Dataproc), Google Cloud Platform Tools, Databricks, PySpark).
3 Years of experience building ETL and Data Integration pipelines in Python, PySpark and knowledge of Informatica is a plus
3 years of experience in a reporting tool like Power BI & Tableau. (Power BI preferred)
3 years of experience working with On Prem databases like Oracle, Teradata and DB2
3 years of experience with Cloud platforms (Google Cloud Platform and Azure) and their respective data services
3 years of deep SQL experience & Unix experience
3 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare. Hedis experience is a big plus.
3 years of experience translating requirements, design mockups, prototypes or user stories into technical designs
3 years of experience with data-related code that is fault-tolerant, efficient, and maintainable
Position Title: Senior Analytic Data Engineer (Python/Power BI)
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. Core qualifications include a deep understanding of data and ETL architecture, practical experience with cloud-based data platforms (preferably Google Cloud Platform with Databricks/Apache Spark), and strong programming skills in Python/PySpark with direct ETL experience. Additionally, the ideal candidate will possess reporting expertise using Power BI and Tableau, and a proven track record in designing and implementing advanced data engineering solutions, leveraging their full Software Development Life Cycle (SDLC) experience.
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