Hybrid Azure Data Engineer - Healthcare Data Platforms

MPOWERHealth; Addison (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

MPOWERHealth is seeking a Data Engineer to lead the acquisition, transformation, and integration of data from enterprise systems into scalable data platforms. The role focuses on building robust Data Warehouses with SQL Server and Azure, and mentoring junior engineers while collaborating across functions to deliver strategic data initiatives.

The candidate will design ETL/ELT pipelines using Azure Data Factory and Python, implement MDM strategies, and drive data quality and performance in a

Qualifications

• 7+ years of experience in database and ETL development.
• 4+ years of deep hands-on experience with Azure Data Factory (ADF).
• 3+ years of experience with healthcare and/or financial data or other highly regulated vertical segments.
• 2+ years of experience using python
• Strong working knowledge of Azure ecosystem tools.
• Advanced proficiency in T-SQL and SQL Server.
• Bachelor's degree or higher.

Responsibilities

• Lead the integration of data from Clinical/Healthcare Practice Management Systems, EMRs, HR systems, Accounting, CRM, and other enterprise systems.
• Architect and oversee the development of scalable data platforms and database architectures supporting multiple business lines.
• Design and optimize complex ETL/ELT data pipelines using Azure Data Factory, other Azure services and python, ensuring high reliability and performance.
• Orchestrate pipelines that leverage AI/LLMs for data extraction from various documents and sources.
• Drive initiatives to capture all necessary data and orchestrate the development of sustainable enterprise-grade databases.
• Conduct advanced data profiling, cleansing, and transformation for analytics and reporting teams.
• Drive implementation of Master Data Management (MDM) strategies to ensure data consistency and integrity.
• Identify process improvement opportunities and spearhead automation to reduce delivery time and increase quality.
• Establish and maintain comprehensive data lineage, monitoring, and operational tracking systems.
• Provide hands-on support while mentoring junior engineers and contributing to a culture of knowledge sharing and continuous improvement.
• Collaborate closely with stakeholders to gather evolving data requirements and translate them into scalable technical solutions.
• Maintain high standards for code quality through documentation, source control, code reviews, and rigorous testing practices.
• Identify integration gaps, recommend solutions, and ensure continuous improvement of data processes.
• Establish and enforce best practices for data engineering and integration across the team.
• Explore and evaluate emerging Azure features, leading proofs of concept to assess fit for purpose.

Skills

Azure Data Factory

Python

SQL Server

T-SQL

Data modeling

ETL/ELT

Mentoring

Collaboration

Education

Bachelor's degree

Tools

Azure tools

Job description

MPOWERHealth is seeking a Data Engineer to lead the acquisition, transformation, and integration of data from enterprise systems into scalable data platforms. The role focuses on building robust Data Warehouses with SQL Server and Azure, and mentoring junior engineers while collaborating across functions to deliver strategic data initiatives.

The candidate will design ETL/ELT pipelines using Azure Data Factory and Python, implement MDM strategies, and drive data quality and performance in a