• Data Engineer

    Insight Global (Norfolk, VA)


    Job Description

    A federal client of Insight Global is seeking a Data Engineer 2 to create and enhance data pipelines, architectures, and datasets, supporting Chief Data Officer initiatives. The role involves applying data modeling, mining, normalization, privacy, and security, designing unit and integration tests, and participating in Agile meetings. The engineer will share insights across teams, identify risks, write complex code for data processing, craft advanced queries, and establish data storage systems. Additionally, they will implement data streaming solutions and ensure compliance with data governance strategies.

    *3- 5 years of experience*

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

     

    - Active Secret clearance or higher required.

     

    - Maven/Palantir (Foundry or MSS), Advana, SQL, Python, Spark, Qlik, Databricks experience.

     

    - Experience designing data architectures supporting security, compliance, and discoverability.

     

    - Hands-on experience with enterprise metadata cataloging tools - Bachelor's degree from an accredited college or university.

     

    - Familiarity or hands-on experience with AI tools such as AWS SageMaker, Palantir AIP, DataRobot or similar.