Data Engineer

WellStreet•Atlanta, GA

15h

About The Position

We are seeking a Data Engineer to design, build, and maintain scalable data solutions using Microsoft SQL Server and Azure-based technologies. This role focuses on developing, maintaining, and optimizing data pipelines, supporting analytics and reporting, and enabling data-driven decision-making across the organization. The ideal candidate has strong experience with ETL/ELT methodologies centered around Microsoft SQL Server, Azure Data Factory, and Databricks while utilizing best practice polies. The successful candidate will be a key player in the delivery of data to an audience that places value on the product, process, and people that provide it.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
Proven experience as a Data Engineer or similar role
Strong experience with Microsoft SQL Server, including T-SQL, indexing, and performance tuning
Hands-on experience with Azure Data Factory for orchestrating data pipelines
Experience working with cloud-based data platforms in Microsoft Azure
A positive attitude toward patients, families, and coworkers
A strong desire to learn new skills and position yourself as a subject matter expert
A desire to work in concert with others in an upbeat and supportive atmosphere while reinforcing the WellStreet mission to provide uncompromising service
A compelling desire to serve others, improve your community’s health, and have fun every day

Nice To Haves

Experience with Azure Synapse Analytics or Azure Data Lake Storage (ADLS Gen2)
Familiarity with data modeling concepts (star/snowflake schemas)
Experience using Azure Databricks, including Spark and PySpark
Proficiency in Python and SQL
Experience implementing data validation and quality checks
Knowledge of DevOps practices, CI/CD pipelines, and infrastructure as code
Experience working with Power BI or other BI tools
Strong analytical and problem-solving skills
Previous experience with clinical data structures and EMR/EHR - particularly Epic or Agility

Responsibilities

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory
Build and optimize data models and stored procedures in Microsoft SQL Server
Develop and maintain scalable data transformations using Azure Databricks (Spark, PySpark)
Ingest, process, and integrate data from multiple sources including relational databases, APIs, and flat files
Optimize query performance, data storage, and pipeline execution
Ensure data quality, reliability, and consistency across data platforms
Implement monitoring, logging, and error handling for data pipelines
Collaborate with data analysts, BI developers, and stakeholders to support reporting and analytics needs
Document data flows, transformations, and technical designs
Follow security, governance, and compliance best practices