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    8 hours ago


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  • Lead Data Engineer

    1 month ago


    Reston, United States Fannie Mae Full time

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    Reston, United States ICONMA Full time

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  • Data Engineer

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    Reston, United States Applied Research Laboratory at the Penn State University Full time

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  • Data Engineer

    2 months ago


    Reston, Virginia, United States Applied Research Laboratory at the Penn State University Full time

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  • Data Engineer

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  • Data Engineer

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    Reston, United States Fannie Mae Full time

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    3 weeks ago


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    3 months ago


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  • Data Engineer

    1 month ago


    Reston, United States Metric5 Full time

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Lead Data Engineer

2 months ago


Reston, United States ICF International Inc Full time

Responsibilities: Design and build data processing pipelines using tools and frameworks in the Databricks/Azure ecosystem. Analyze requirements and architecture specifications to create a detailed design document. Responsible for data engineering functions including data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks. Develop, construct, test, and maintain data architectures. Ensure data architecture will support the requirements of the business. Assist in the discovery of new opportunities for data acquisition. Work with huge data sets and collaborate with other Data Engineers/Scientists on analyzing this data using algorithms and machine learning. Implement and configure big data technologies and tune processes for performance at scale. Design and build ETL pipelines to automate the ingestion of structured and unstructured data. Work with DevOps engineers on CI/CD, and IaC processes; translate specifications into code and design documents; perform code reviews and develop processes for improving code quality. Strong in scalability, performance, and availability of systems. Deploy the developed solution in Azure environment and examine the results for accuracy. Define and assist in the implementation/maintenance of Data Governance Policies, Quality Standards, Data Security, Data Classifications, and the creation of a data catalog. Basic Qualifications: Bachelor's degree in computer science or similar field with 10 years' experience as a Data Engineer, Database Administrator, or Software Developer. 5 years' experience developing SQL and Python. 5 years' experience working in an Azure Environment. 5 years' experience creating, implementing, and maintaining a Data Government Policy. Candidate must reside in the United States and be able to obtain a Public Trust. Candidate must be a US Citizen. Preferred Qualifications: Master's degree in computer science or related field. Familiarity with other query languages Path, SPARQL, etc. Experience with Python, Airflow. Federal Government contracting work experience. Prior experience working remotely full-time. Advanced Data Analytics/Machine Learning Techniques/Large Language models. Secret Clearance preferred, but not required. Professional Skills: Strong technical communication skills; both written and verbal. Strong problem-solving and structuring skills. Ability to identify and learn applicable new techniques independently as needed.

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