EXCLUSIVE Sr. Data Engineer

Indotronix Avani Group
Englewood, NJ, United States
1 day ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$135,200.0
Working hours
Regular working hours

Tech stack

Information Engineering Python (Programming Language) Transact-SQL Azure Data Factory Microsoft Fabric Data Management Databricks

Job description

Join the Medical Group Management Association (MGMA) as a Sr. Data Engineer and play a pivotal role in shaping enterprise data solutions for the Sabretooth project and beyond. As a highly experienced professional, you will leverage your expertise in Microsoft Fabric, Databricks, Medallion Architecture, and Python/SQL to drive innovative data strategies. Work in a hybrid setting-2 days onsite in Englewood, CO, and 3 days remote-while collaborating with forward-thinking teams on impactful medical data initiatives., Design, develop, and maintain robust data pipelines, database code, and ETL processes using Microsoft Fabric, Databricks, T-SQL, and Python

  • Architect and implement Medallion Architecture to ensure scalable and reusable data models
  • Execute advanced data management and data cleansing to maximize data quality and integrity
  • Analyze, troubleshoot, and resolve complex data and application issues with precision and speed
  • Create and modify database objects (tables, views, functions, stored procedures, triggers)
  • Manage code migrations and DevOps/MLOps processes leveraging CI/CD best practices
  • Collaborate with cross-functional teams to deliver data-driven solutions aligned with MGMA’s strategy
  • Contribute to the ongoing evolution of reporting and analytics infrastructure

Requirements

10+ years of hands-on experience in data engineering roles

  • Advanced proficiency in Microsoft Fabric, Databricks, Python, T-SQL
  • Deep understanding of Medallion Architecture
  • Strong background in building and optimizing data pipelines and ETL processes
  • Proven track record in implementing data management and data quality processes

Preferred Skills

  • Familiarity with Azure Data Factory, Azure Data Fabric, and Purview
  • Experience working with multiple BI platforms and vendor solutions

Benefits & conditions

Hybrid work model: 2 days onsite (Tuesday, Thursday), 3 days remote

  • Potential for contract extension beyond one year
  • Opportunity to influence high-impact healthcare data initiatives
  • Collaborative, innovative work environment supporting career advancement
  • Open to all employment statuses (H1, EAD, etc.)

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