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Data Engineer (ADVANA) - Hybrid

JTEC Consulting

  • Washington
  • 30+ days ago

    Highlights

    Design, develop, and implement end-to-end data pipelines utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks. Salaries are dependent upon a wide range of factors including position requirements, customer/program needs, individual qualifications, education, experience, certification and/or training, location, and other job related factors.

    Numbers & Facts

    LocationWashington

    Description

    Data Engineer (ADVANA) - Hybrid
    Washington, DC 20024

    JTEC Consulting LLC focuses on successfully delivering solutions to meet our clients’ most critical needs. Our founding members have decades of experience delivering a wide range of solutions to Air Force and DOD clients. We are a Veteran-Owned Small Business.
     
    Security Clearance Requirement: Current Secret
    Location Note: Hybrid 2-3 days/week on-site required
    Relocation: Relo support will be considered for candidates outside the commuting area

    Position Description:
    JTEC Consulting is hiring ADVANA Data Engineers to support a DoD program. Qualified candidates will have current/recent experience on the ADVANA platform and expertise with ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL.

    Duties and responsibilities include:
    • Collaborate with cross-functional teams including data analysts, architects and mission stakeholders to translate requirements into technical solutions.
    • Design, develop, and implement end-to-end data pipelines utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks
    • Build and optimize data pipelines from scratch, ensuring scalability, reliability, and performance.
    • Conduct data cleansing, data integration, validation, and data quality assurance to ensure accuracy and integrity across large, diverse datasets.
    • Apply big data technologies to process and analyze high-volume datasets commonly encountered in a federal environments.
    • Diagnose and resolve complex data issues, providing innovative, efficient solutions to support mission-critical operations.
    • Contribute to best practices, documentation, and continuous improvement of data engineering processes.
    • Support hybrid schedule 2-3 days per week on-site.
    Education and qualifications:
    • U.S. citizenship (no dual citizenship)
    • Current security clearance (Secret at a minimum)
    • 5+ years of experience as a Data Engineer with demonstrated experience creating data pipelines from scratch.
    • Recent experience and proficiency working on the ADVANA platform is a must.
    • High level of proficiency in ETL development.
    • Hands-on experience with Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL.
    • Proven experience working with large datasets and leveraging big data technologies for efficient processing and analysis.
    • Effective written and verbal communication skills to excel in a blended government and contractor team environment.
    • Ability to work on-site (2-3 days per week)
    Preferred Experience:
    • Experience with data governance, metadata management, or data cataloging tools is a plus.
    • Familiarity with Air Force or DoD data systems is highly desirable.
    JTEC Consulting LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.  This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

    Salary:
    JTEC offers competitive compensation and benefits to all employees. Salaries are dependent upon a wide range of factors including position requirements, customer/program needs, individual qualifications, education, experience, certification and/or training, location, and other job related factors. 
     
    #ADVANA #Databricks #Python #DataGovernance #Metadata
     

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