Sr. Data Engineer

MPOWERHEALTH PRACTICE CONSULTANTS, LLC
Addison, United States of America
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Addison, United States of America

Tech stack

Artificial Intelligence
Azure
Software Quality
Code Review
Databases
Information Engineering
Data Integration
ETL
Data Mining
Data Profiling
Data Systems
Data Warehousing
Python
Microsoft Office
Microsoft SQL Server
T-SQL
Enterprise Software Applications
Azure
Large Language Models
Electronic Medical Records
Indexer
HR Software
Data Lineage
Data Management
Software Version Control
Data Pipelines

Job description

The Senior Data Engineer will play a lead role in acquiring, transforming, and integrating data from enterprise systems into scalable data platforms. The role involves designing high-performance data solutions, mentoring junior engineers,and collaborating across different functions to ensure strategic data initiatives are delivered efficiently and effectively. This individual will have a strong track record in architecting and building robust Data Warehouses using Microsoft SQL Server and Azure technologies. Strong expertise in healthcare data domains is highly preferred. NOTE: THIS IS A HYBRID ROLE. MUST BE WILLING TO COMMUTE TO THE ADDISON, TX. OFFICE 3 DAYS PER WEEK! PRIMARY DUTIES * Lead the integration of data from Clinical/Healthcare Practice Management Systems, Electronic Medical Record

Systems (EMRs), HR systems, Accounting, Customer Relationship Management systems (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.

Requirements

Do you have experience in T-SQL?, Do you have a Bachelor's degree?, 7+ years of experience in database and ETL development roles.

  • 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.
  • Strong grasp of data modeling, indexing, and schema design principles.
  • Proven ability to manage multiple priorities and drive solutions from conception to production.
  • Effective collaborator and communicator, capable of interfacing with all stakeholders.
  • Bachelor's degree or higher.

PREFERRED EXPERIENCE * Experience working with data integration related to Healthcare EDI files, such as 835, 837, etc.

  • Experience working on data extraction from documents using AI/LLMs.

NOTE: This position follows a hybrid work model with a minimum of 3 days per week in our Addison, TX office.

Apply for this position