Data Engineer

FedWriters

$105K — $115K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-10 years in data engineering with a relevant degree
  • 3+ years of hands-on experience as a Data Engineer
  • Proficient in ETL processes and Databricks, Python, Spark, Scala, JavaScript/JSON, SQL
  • Experience with large datasets and big data technologies
  • Knowledgeable in data modeling, database design, and governance policies
  • Active Secret security clearance is required

Responsibilities

  • Design and implement end-to-end data pipelines using ETL technologies
  • Collaborate with teams to define data requirements and build optimal models
  • Create scalable, reliable data pipelines from scratch to ensure high performance
  • Conduct data cleansing, integration, and maintain data quality
  • Utilize big data technologies for efficient dataset processing and analysis
  • Provide data insights to support decision-making across teams
  • Troubleshoot data issues creatively and propose effective solutions
  • Establish and uphold data governance, ensuring compliance with standards

Benefits

  • Health, Dental, and Vision Insurance
  • Short-term and Long-term Disability Insurance
  • Life Insurance
  • 401(k) Plan
  • Holiday Pay
  • Paid Time Off
Full Job Description
Overview

Ready to build data infrastructure that actually matters to national defense? As FWI's Data Engineer on the DA2I program, you'll architect end-to-end pipelines using Databricks, Spark, and Palantir Foundry that power decision-making for the National Guard's Minuteman Community Space. If you want your ETL and big-data skills to support a real DoW mission, not just another dashboard, this is the seat.

 

FWI is building a team to support the National Guard Bureau's (NGB) Minuteman Community Space and asa Data Engineer, you will play a crucial role in designing, developing, and maintaining the Minuteman Community Space's data infrastructure and systems, using ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL to ensure efficient data processing and analysis.

 

 

Work Schedule and Location:

This full-time position will work Monday through Friday, in Arlington, VA. 

Responsibilities
  • Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL
  • Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures
  • Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing
  • Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets
  • Leverage big data technologies to efficiently process and analyze large datasets
  • Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes
  • Troubleshoot data-related problems and provide innovative solutions to address complex data challenges
  • Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices
Qualifications

Required Qualifications:

  • 3-10 years of directly related experience and a B.A./B.S. or M.A./M.S. in a related field
  • 3+ years of experience as a Data Engineer
  • Proficiency in ETL processes and firsthand experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks
  • Experience working with large datasets and leveraging big data technologies to process and analyze data efficiently
  • Understanding of data modeling/visualization, database design principles, and data governance practices
  • Must possess an active Secret clearance at minimum

Preferred Qualifications:

  • Experience with the DoW mission and associated datasets
  • Previous experience with Advana or the War Data Platform
  • Experience with APIs
  • Experience with Machine Learning models and/or Generative AI
  • Experience building within Palantir Foundry applications, including Workshop, Ontology Manager, and Gaia

 

Why Join Our Team

 

At FWI, we place the highest importance on creating an exceptional employee experience. You'll have opportunities to achieve your career aspirations through internal promotions, professional development, and other recognition and rewards programs. Join our team and take advantage of the many benefits we offer, including:

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Long-term and Short-term Disability Insurance
  • Life Insurance
  • 401(k) Plan
  • Holiday Pay
  • Paid Time Off
Pay Range

105-115k per year

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