Data Engineer (Hybrid)
Arlington Full-time Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at West 4th Strategy. Arlington · full-time · $150,000–$165,000 base.
SalaryStated by West 4th Strategy
$150,000 – $165,000
Base salary for this role, in USD per year, as published in the posting.
This role, from West 4th StrategyOur estimate for the market: $116,100–$152,875Median $128,450
Above the market median of $128,450 for mid-level data engineering roles in Arlington.
Worked out from 10 postings that stated pay, median $128,450. Last updated Oct 20, 2026.
RoleData Engineering
SeniorityMid-level
LocationArlington
EmploymentFull-time
Base pay$150,000–$165,000
PostedSep 14, 2026 · 5w ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build end-to-end ETL pipelines, then tune them for reliable, scalable processing of large datasets
- Turn team data needs into data models and architectures that support efficient processing and analysis
- Clean and combine datasets, checking their quality so the information stays accurate and intact
- Work with data scientists, analysts and stakeholders to deliver useful data insights for decisions
- Resolve data pipeline issues and apply governance practices that meet regulatory requirements
What you bring
- You have three to ten years of related work, including at least three years as a data engineer
- You can use ETL methods and tools such as Databricks, Python, Spark or SQL, plus the other listed technologies
- You have handled large datasets and understand data modeling, database design and governance
- You hold a related bachelor's or master's degree, and have active Secret clearance and U.S. citizenship
Who this fits
This role suits a mid-level data engineer comfortable building and maintaining data infrastructure for the Minuteman project team. You must be a U.S. citizen with an active Secret clearance and work onsite in Arlington one to two days each week.
From the employer
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
REQUIRED QUALIFICATIONS
PREFERRED QUALIFICATIONS
EDUCATION
LOCATION
CLEARANCE
CLIENT
WORK HOURS
EMPLOYMENT CLASSIFICATION
COMPENSATION
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.
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
- 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
REQUIRED QUALIFICATIONS
- Three (3) to ten (10) years of directly related experience
- Available to work onsite in Arlington, VA 1-2 days per week
- 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
- National Capital Region. Onsite in Arlington, VA 1-2 days per week – Required
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: $150,000 - $165,000
- Benefits: Benefits package includes options for health, dental, and vision insurance coverage; 401k contribution options
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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