Data Engineer with Medicaid Domain exp.

Pioneer Consulting Services LLC
United States
2 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Clinical Data Repository Continuous Integration Information Engineering Extract Transform Load (ETL) Data Warehousing Relational Databases DevOps Github Python (Programming Language) Microsoft SQL Server Medicaid Management Information Systems (MMIS)
+10 more
Oracle (Applications) Standard Sql Teradata SQL Cloud Platform System Azure Data Factory Informatica Powercenter Snowflake Apache Spark Software Version Control Databricks

Requirements

Note: Candidates should have MEDICAID experience working for a STATE AGENCY client., The ideal candidate brings strong ETL and Python engineering expertise, Teradata experience, and experience working with large healthcare datasets, along with the ability to operate effectively in a regulated, audit-sensitive environment. This is a delivery-focused role requiring close collaboration with architects, analysts, QA, PMs, SMEs, developers, and reporting/BI teams across both legacy and cloud-based platforms., * 5+ years of data engineering experience with a focus on enterprise data warehousing.

  • 5+ years of hands-on ETL development using Informatica PowerCenter, Teradata, Azure Data Factory, or similar tools.
  • 5+ years of Python development for data engineering and automation.
  • 5+ years of Teradata experience, including Teradata loader utilities.
  • 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent).
  • Solid SQL expertise and experience with relational databases (such as Snowflake, Oracle, SQL Server).
  • 3+ years of experience with Snowflake using SnowSQL and Snowpark (Python).
  • Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD).
  • Experience supporting State Medicaid EDW or MMIS analytics environments.

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