Senior ETL Python Developer

Datamaxis

Job Location:

Springfield, VT - USA

Monthly Salary: Not Disclosed

Posted on: 27 days ago

Vacancies: 1 Vacancy

Job Summary

Position Summary

Client is seeking a hands-on Senior Data Engineer (ETL / Python Developer) to support

the Enterprise Data Warehouse (EDW) and Analytics Program. This role plays a critical

part in designing developing and maintaining scalable data ingestion and transformation

pipelines that support Medicaid analytics federal reporting and enterprise decision

support.

The ideal candidate brings strong ETL and Python engineering expertise experience

working with large healthcare datasets and 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.

Primary Responsibilities

Design develop and maintain enterprise ETL pipelines using Azure Data Factory

(ADF) Informatica PowerCenter and Python-based frameworks

Build and optimize scalable data processing solutions using Python Spark and

Databricks

Support Medicaid analytics and federal reporting initiatives (e.g. T-MSIS PERM

MARS Quality of Care)

Develop robust data validation reconciliation and audit-traceable data pipelines

Write and optimize SQL and stored procedures across relational platforms such as

Snowflake Oracle and SQL Server

Participate in cloud migration and modernization initiatives within Azure-based

architectures

Collaborate with analysts QA and reporting teams to ensure data quality accuracy

and timeliness

Follow data engineering best practices for performance reliability reusability and

security

Support production operations incident resolution and root-cause analysis

Participate in code reviews source control and CI/CD processes using Azure

DevOps and GitHub

Required Qualifications

5 years of data engineering experience with a focus on enterprise data

warehousing

5 years of hands-on ETL development using Informatica PowerCenter Azure Data

Factory or similar tools

5 years of Python development for data engineering and automation

3 years of experience with Spark-based processing frameworks (Databricks or

equivalent)

Strong SQL expertise and experience with relational databases (such as Teradata

Snowflake Oracle SQL Server)

Experience with source control and DevOps practices (Azure DevOps GitHub

CI/CD)

Bachelors degree or higher in Computer Science Engineering Analytics or a

related field

Strong analytical problem-solving and troubleshooting skills

Preferred Qualifications

Experience supporting State Medicaid EDW or MMIS analytics environments

Healthcare or public-sector analytics experience (Medicaid / Medicare preferred)

Data modeling experience in enterprise data warehouse environments

Scripting experience (PowerShell Bash) for automation and orchestration

Experience designing or consuming APIs (REST) within data platforms

Familiarity with data quality frameworks reconciliation and audit support

Azure certifications related to data engineering or analytics

Required Experience:

Senior IC

Position Summary Client is seeking a hands-on Senior Data Engineer (ETL / Python Developer) to support the Enterprise Data Warehouse (EDW) and Analytics Program. This role plays a critical part in designing developing and maintaining scalable data ingestion and transformation pipelines that support ...