Senior Data Engineer

Senior Data Engineer (Sr. ETL / Python Developer)

Position Summary

We are seeking a
hands-on Senior Dashboard/Report (Tableau / Python Developer)
to support the
Enterprise Data Warehouse (EDW) and Analytics Program
. This role plays a critical part in designing, developing, and maintaining Reports and Dashboards that

support Medicaid analytics, federal reporting, and enterprise decision support.

The ideal candidate brings strong Tableau 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 level Dashboards/Reports using
Tableau
and Python-based frameworks.
- Build and optimize scalable data processing solutions using
Python
.
- Support Medicaid analytics and
federal reporting initiatives
(e.g., T-MSIS, PERM, MARS, Quality of Care)
- Write and optimize SQL and stored procedures across relational platforms such as Teradata.
- 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 Reporting and Dashboard 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 Reporting and Dashboard with a focus on enterprise data warehousing
• 5+ years of hands-on Reports and Dashboard development using Tableau, Business Objects.
• 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)
• Bachelor’s 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

Work Environment s Telecommute Policy

- This position supports a
telecommute-friendly work model
and may be performed remotely within the continental United States.
- Periodic travel may be required based on project or customer needs.