Data Engineer

HYERTEK INC•Rockville, MD

just now•$125,000 - $140,000

About The Position

HyerTek is seeking a Data Engineer to build ETL pipelines, dataflows, and analytics foundations for federal government clients. You'll extract data from legacy systems, transform it, load it into Microsoft Dynamics 365 and Dataverse, and support the reporting layer in Power BI and Microsoft Fabric. This role covers the full data lifecycle — from source extraction through pipeline development to analytics-ready datasets. You'll work with sources such as Oracle, Jira, Confluence, SharePoint, Planner, and legacy databases, migrating data to modern platforms and making it usable for reporting and insights for Microsoft technologies.

Requirements

4+ years of ETL development and data pipeline experience
Strong hands-on experience with Azure Data Factory
Experience with Power Query / Dataflows
Strong SQL skills
Experience building Power BI datasets and semantic models
Understanding of data modeling for analytics (star schema, relationships)
Ability to troubleshoot pipeline failures and data quality issues
This position requires U.S. citizenship and the ability to successfully obtain and maintain a U.S. Department of Defense (DoD) clearance.
Candidates must be authorized to work in the United States without the need for employment-based visa sponsorship now or in the future. HyerTek will not sponsor applicants for U.S. work visa status for this opportunity, and no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa.

Nice To Haves

Experience with Microsoft Fabric (lakehouses, pipelines, warehouses)
DAX proficiency
Experience with D365 Data Migration Framework (DMF)
Experience loading data into Dataverse / Power Platform
Familiarity with Jira, Confluence, SharePoint, Oracle APIs
Python or PowerShell scripting
Federal or DoD project experience
Azure/Fabric certifications (DP-203, DP-600, PL-300)

Responsibilities

Build and maintain ETL pipelines using Azure Data Factory
Develop Power Platform Dataflows for data transformation and loading
Extract from diverse sources — Oracle, SQL Server, Jira, Confluence, SharePoint, Planner, REST APIs, flat files
Write complex transformations using Data Factory expressions, Power Query M, and SQL
Implement incremental load and change data capture patterns
Schedule, monitor, and troubleshoot pipeline runs
Build semantic models and datasets in Power BI and Microsoft Fabric
Develop and optimize dataflows that feed Power BI reports
Support report developers with data preparation and modeling
Create Fabric lakehouses and data pipelines where applicable
Write DAX measures and optimize dataset performance
Ensure data quality and consistency across reporting layers