Data Engineer

The 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.

MINIMUM QUALIFICATIONS AND REQUIREMENTS

• 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.

Application FAQs

Software Powered by ICIMS

www.icims.com