Senior ETL Python Developer
Job Location:
Springfield, VT - USA
Monthly Salary:
Posted on:
Vacancies:
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
Key Skills
- APIs
- Docker
- Jenkins
- REST
- Python
- AWS
- NoSQL
- MySQL
- JavaScript
- Postgresql
- Django
- GIT
About Company
Job Summary: Able to provide guidance in all areas relating to information security in order to align and establish information security and strategy with business requirements. Primary Job Responsibilities: Cloud Security and/or Experience is preferred Automation, Scripting, Powe ... View more
