Data Modellers

West 4th Strategy

Virginia Beach (VA)

Remote

USD 125,000 - 135,000

Full time

7 days ago
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Benefits offered by this job

Health, dental, and vision insurance
401k contribution options

Job summary

West 4th Strategy seeks an experienced Data Engineer for the National Guard Bureau on the Minuteman project. You will design, implement, and maintain end-to-end data pipelines using Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL, supporting the enterprise data environment and analytics platform.

This remote role requires 40 hours per week and 3–10 years of data engineering experience, with strong governance and collaboration with data scientists and stakeholders.

Qualifications

  • 3–10 years of directly related experience.
  • 3+ years of experience as a Data Engineer.
  • Proficiency with ETL processes and Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
  • Experience with large datasets and big data technologies.

Responsibilities

  • Designs, develops, and implements end-to-end data pipelines using ETL processes and technologies.
  • Works with cross-functional teams to understand data requirements and design optimal data models and architectures.
  • Creates and optimizes data pipelines from scratch for scalability and high performance.
  • Performs data cleansing, integration, and quality assurance.

Skills

Data engineering
ETL processes
Big data processing
Data governance

Education

B.A./B.S. or M.A./M.S. in related field

Tools

Databricks
Python
Spark
Scala
JavaScript/JSON
SQL
Jupyter Notebooks

Job description

Data Engineer

We need an experienced Data Engineer at the National Guard Bureau (NGB). The NGB is the link between the Army and Air National Guard and the Department of War (DoW). You will support operations on the Minuteman project team, which manages the NGB's enterprise data environment within the DoW's central analytics platform, and plays a crucial role in designing, developing, and maintaining the Minuteman Community Space's data infrastructure and systems. In this role, you will design and implement end-to-end data pipelines using ETL processes and technologies including Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL, working closely with cross-functional teams to understand data requirements and design optimal data models and architectures that ensure efficient data processing and analysis. This is a full‑time opportunity. We can offer a competitive salary, and a comprehensive benefits package.

RESPONSIBILITIES
  • Designs, develops, and implements end to end data pipelines utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, and SQL.
  • Works closely with cross functional teams to understand data requirements and design optimal data models and architectures.
  • Creates and optimizes data pipelines from scratch, ensuring scalability, reliability, and high performance processing.
  • Performs data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
  • Leverages big data technologies to efficiently process and analyze large datasets.
  • Collaborates with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision making processes.
  • Troubleshoots data related problems and provides innovative solutions to complex data challenges.
  • Implements and enforces data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
REQUIRED QUALIFICATIONS
  • Three (3) to ten (10) years of directly related experience
  • 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
PREFERRED QUALIFICATIONS
  • Experience with the Department of War (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
EDUCATION
  • B.A./B.S. or M.A./M.S. in a related field
LOCATION

Remote

CLEARANCE

Active Secret security clearance. U.S. citizenship is required since this role supports the U.S. Federal government.

CLIENT

OUSD Personnel & Readiness (P&R), Minuteman project team

WORK HOURS

40 hours per week. 8 hours per day

EMPLOYMENT CLASSIFICATION

Employment Classification Eligibility — W2

COMPENSATION

Salary range: $125,000 - $135,000

  • Benefits package includes options for health, dental, and vision insurance coverage
  • 401k contribution options

West 4th Strategy is an Equal Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, gender, sexual orientation, ancestry, national origin, age, marital status, mental disability, physical disability, medical condition, pregnancy, political affiliation, military or veteran status, or any other basis prohibited by federal or state law.

Other Considerations

Applicants will be subject to a background investigation. Individual’s primary workstation is located in an office area. The noise level in this environment is low to moderate. Regularly required to sit for extended periods up to 80% of the time; frequently required to move about to access file cabinets and use office equipment such as PC, copier, fax, telephone, cell phone, etc. Occasionally required to reach overhead, bend, and lift objects of up to 10 lbs. Specific vision abilities required by this job include the use of computer monitor screens up to 80% of the time.

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