About the role
Role and Responsibilities
The Data Engineer will play a key role in acquiring, transforming, and integrating data from enterprise systems into scalable data platforms. The role involves designing high-performance data solutions, collaborating with other engineers, and across different functional groups to ensure strategic data initiatives are delivered efficiently and effectively. This individual will have a strong track record in building robust Database solutions using Microsoft SQL Server and Azure technologies. Experience in healthcare data domains is highly desired.
Primary Duties
- Integrate data from Clinical/Healthcare Practice Management Systems, Electronic Medical Record Systems (EMRs), HR systems, Accounting, Customer Relationship Management systems (CRM), and other enterprise systems.
- Develop 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 to other engineers and contribute 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.
Minimum Qualifications and Requirements
- 4+ years of experience in database and ETL development roles.
- 2+ years of deep hands-on experience with Azure Data Factory (ADF).
- 1+ years of experience with healthcare and/or financial data or other highly regulated vertical segments.
- 1+ years of experience using python.
- Good working knowledge of Azure ecosystem tools.
- 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.
Millions of jobs, with real people getting hired every day
Questions, answered
Click "Apply with JobAssist" – we tailor your resume and application to this role and submit it for your approval.
Yes. This role at MPOWERHealth was screened before publishing – we confirmed the employer before listing it.
The employer didn't disclose a salary range for this listing. JobAssist shows pay whenever it's available.
This position can be done from anywhere, with no in-office requirement.
Yes – every application is tailored from your profile and this job's requirements, and you can review and edit before it's sent.