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Data Engineer

CloudQuest Solutions
Contract
On-site
Washington, District of Columbia, United States
We are seeking a skilled Data Engineer to support data transformation and modeling initiatives for a government project in the Washington, D.C. area. The ideal candidate will have proven experience in building data pipelines in Databricks and designing data models within a data lake architecture. This role requires a candidate with a solid technical background, a strong understanding of cloud-based data engineering, and familiarity with public sector requirements.

Key Responsibilities:

  • Design, develop, and implement scalable ETL/ELT processes to transform and load data into Databricks

  • Develop and optimize data models for deployment in data lake architectures

  • Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders

  • Ensure high data quality, integrity, and compliance with governance standards

  • Document data flow, architecture decisions, and pipeline processes

  • Support performance tuning and troubleshooting across large-scale datasets



Requirements

Required Qualifications:

  • Demonstrated experience in at least two data engineering projects involving transforming and loading data into Databricks of similar size and complexity

  • Proven experience in developing data models for implementation in data lake environments

  • Resided in the United States for a minimum of 3 years

  • Able to obtain a Public Trust clearance

  • Must be local to the DMV area (Washington, D.C., Maryland, or Northern Virginia)


Preferred Skills:

  • Experience with cloud platforms such as Azure, AWS, or GCP

  • Familiarity with Delta Lake, Apache Spark, and SQL

  • Experience working in government or public sector environments



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