Data Engineer I

HYBRID - 3 DAYS ONSITE PER WEEK - WASHINGTON D.C.

Data Engineer I

Overview

Seeking a Data Engineer I to join the data team supporting a high-priority initiative focused on building the foundation for enterprise knowledge management. This role will primarily focus on hands-on development of data pipelines, orchestration, and data movement from source systems into the enterprise data lake.

Key Responsibilities

• Develop and maintain data pipelines to ingest data and documents from various source systems into the enterprise data lake.


• Work with stakeholders to identify data from source systems and support ingestion and storage within the data lake environment.


• Build and enhance pipelines to support the ingestion of additional documents and knowledge assets as the initiative expands.


• Implement data orchestration using Azure Data Factory (ADF) to move data across systems.


• Utilize dbt to perform required data transformations.


• Support data enablement through Databricks and Unity Catalog for metadata management and governance.


• Assist with establishing and maintaining data taxonomy and folder structures that support reporting and discovery.


• Collaborate with cross-functional teams to help create a unified knowledge interface where enterprise documentation can be easily accessed and analyzed.


• Contribute to the successful completion of project milestones aligned with the organization's fiscal year goals.

Required Qualifications

• 3-5 years of experience in data engineering or a related technical role.


• Experience with Azure Data Factory (ADF) for data orchestration.


• Experience working with Databricks in a data engineering environment.


• Familiarity with dbt for data transformation.


• Proficiency in Python, particularly for scripting and data processing.


• Experience building or supporting ETL/ELT pipelines.


• Understanding of data lake architectures and data ingestion workflows.


• Strong problem-solving skills and ability to work in a collaborative team environment.

Preferred Qualifications

• Exposure to metadata management or data cataloging tools.


• Experience working with structured and unstructured data ingestion.


• Familiarity with taxonomy design or knowledge management systems.

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit .

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.