Data engineer jobs in Manassas, VA and nearby

Data engineer jobs within 25 miles of Manassas, VA. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 2, 2026

Hiring at a glance

View jobs

Open jobs: 374
Employers: 157

Advertised starting pay

Average starting payUSD / year: $125,297Across 39 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 6%21 listings
On-site: 13%49 listings

Not specified: 81% (304 listings)

Employers hiring include Capital One (38), Booz Allen Hamilton_United States (37), Deloitte US (15).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Manassas, VA and nearby

Within 25 miles

Save this search

Added 22 days ago
Senior Data Engineer
Dark Wolf Solutions
Herndon, VA
Dark Wolf is looking for a Senior Data Engineer to join our team in Herndon, VA supporting the Defense Health community. This position will have hybrid/remote flexibility. The Data Engineer…
Added 22 days ago
Senior Data Engineer
Dark Wolf Solutions
Chantilly, VA
Dark Wolf is seeking a Senior Data Engineer to design, build, and optimize robust data pipelines, data warehouses, and streaming solutions. You will be responsible for integrating…
Added 22 days ago
Junior Data Engineer
Dark Wolf Solutions
Chantilly, VA
Dark Wolf is seeking a Junior / Entry-Level Data Engineer to support the development, maintenance, and monitoring of scalable data pipelines in secure, high-assurance environments. In this…
Added 22 days ago
Data Engineer - SME
Dark Wolf Solutions
Chantilly, VA
Dark Wolf is seeking a Data Engineer - Subject Matter Expert (SME) to architect, lead, and execute enterprise-wide data platform initiatives. As the principal technical authority, you will…
Added 22 days ago
Data Engineer - Expert
Dark Wolf Solutions
Chantilly, VA
Dark Wolf is seeking an Expert Data Engineer to lead the architectural development, scaling, and governance of enterprise-grade data platforms. You will be responsible for designing…
Added 22 days ago
Data Engineer/ETL Engineer
Dark Wolf Solutions
Chantilly, VA · Herndon, VA
Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of Data Engineer/ETL Engineer. The candidate will be a member of a software development team…
Added 22 days ago
Data Engineer
Closure Technologies
Chantilly, VA
Closure Technologies is seeking a Data Engineer that will leverage their development skills and experience, to support the successful designing, ingesting, cleansing, transformation,…
Added 22 days ago
BS
Data Engineer, TS/SCI
Blue Sky Innovators
Reston, VA · Arlington, VA
- $180,000 to $220,000 USD / year
Seeking a Lead Data Engineer / Mission Data Pipeline to serve as a Subject Matter Expert (SME). You will work directly with government, technical, and industry stakeholders design,…
Added 22 days ago
Senior Data Engineer
Accenture Federal Services
Arlington, VA
Added 22 days ago
Palantir Data Engineer
Accenture Federal Services
Chantilly, VA
Added 22 days ago
Google Cloud Platform (GCP) Data Engineer
Accenture Federal Services
Arlington, VA
Added 22 days ago
Google Cloud Platform (GCP) Data Engineer
Accenture Federal Services
Arlington, VA
Added 22 days ago
Forward Deployed Data Engineer - Databricks
Accenture Federal Services
Arlington, VA
Added 22 days ago
Data Engineer Team Lead
Accenture Federal Services
Arlington, VA
Added 22 days ago
Data Engineer - SME
Accenture Federal Services
Chantilly, VA
Added 22 days ago
Data Engineer Senior Analyst
Accenture Federal Services
Arlington, VA
Added 22 days ago
Data Engineer
Accenture Federal Services
Arlington, VA
Added 22 days ago
Data Engineer
Accenture Federal Services
Fort Belvoir, VA
Added 22 days ago
Data Engineer
Accenture Federal Services
Arlington, VA
Added 22 days ago
Data Engineer
Accenture Federal Services
Chantilly, VA
Added 22 days ago
Cleared Data Engineer
Accenture Federal Services
Arlington, VA
Added 22 days ago
CG
Data Engineer
Contact Government Services, LLC
Chantilly, VA · Fairfax, VA
- $112,597.33 to $152,810.66 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 22 days ago
CG
Data Engineer
Contact Government Services, LLC
Arlington, VA
- $112,597.33 to $152,810.66 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 22 days ago
Data Engineer - Senior
Cherokee Federal
Reston, VA
Added 22 days ago
AI Data Engineer
SAIC
Fort Belvoir, VA
SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia.

BLN24

Data Engineer – Classical Statistics & Machine Learning

McLean, VA, United States

Apply About employer

Applications open in a new tab.

Job details

Experience: 3–5 years of experience spanning both data engineering and data science/statistical analysis
Posting language: English

Original job description

Job Title: Data Engineer

Company: BLN24

About Us: We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client’s end-state, and then seamlessly integrating within each Agency’s organization to improve and enhance strategic and technical operations and deployments.

Position Overview:

BLN24 is seeking a mid-level Data Engineer to support a large-scale data and analytics platform modernization effort for a federal statistical agency client. This is a hybrid role: data engineering (building and maintaining the pipelines that bring data into the platform) and applied data science (using classical statistics and machine learning to analyze that data once it’s available).

The ideal candidate is equally comfortable writing production-grade ingestion and transformation code as they are designing and validating a statistical or ML model. This role works closely with SMEs across multiple program areas to understand source data, build reliable ETL/ingestion pipelines, and apply analytical methods - anomaly detection, statistical modeling, and machine learning - to support operational decision-making.

Key Responsibilities:

Data Engineering

Design, build, and maintain ETL/ELT pipelines to ingest data from multiple source systems into the platform’s central data store
Develop and maintain data ingestion workflows for both batch and near-real-time sources
Implement data validation, cleaning, and transformation logic to ensure data quality and consistency across pipelines
Work within a modern lakehouse/cloud data architecture, optimizing pipeline performance and reliability
Build and maintain data models and schemas that support downstream analytics and reporting needs
Monitor pipeline health, troubleshoot failures, and implement logging/alerting for data quality issues
Document data lineage, transformation logic, and pipeline architecture for governance and reproducibility

Data Science / Statistics & ML

Apply classical statistical methods (hypothesis testing, regression, time-series analysis, distributional comparisons) to identify trends, anomalies, and outliers in operational data
Design and implement benchmarking approaches that compare production data against historical, modeled, or external reference values
Develop and evaluate machine learning models where appropriate, balancing predictive performance with interpretability for non-technical stakeholders
Investigate flagged anomalies by digging into underlying data to identify root causes and contributing factors
Work with SMEs to translate operational questions into analytical approaches, and clearly communicate statistical/ML findings and their limitations
Account for data sensitivity classifications and governance requirements when designing analyses and models
Collaborate with visualization-focused team members to ensure outputs of statistical/ML work are presented clearly to stakeholders

Required Qualifications:

Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or related field (or equivalent experience)
3–5 years of experience spanning both data engineering and data science/statistical analysis
Strong proficiency in Python, including experience with data engineering libraries (e.g., pandas, PySpark) and statistical/ML libraries (e.g., scikit-learn, statsmodels)
Hands-on experience building and maintaining ETL/ELT pipelines, including ingestion, transformation, and validation logic
Solid grounding in classical statistical methods (hypothesis testing, regression, distributional analysis) and practical machine learning techniques
Experience working with SQL and relational/distributed data systems
Ability to work within a federal data environment, including familiarity with data sensitivity tiers and access/disclosure constraints
Strong communication skills, with the ability to explain technical/statistical concepts to non-technical stakeholders

Preferred Qualifications:

Prior experience supporting federal statistical agencies or other federal data programs
Familiarity with Databricks or modern lakehouse architectures (Spark, Delta Lake, etc.)
Experience with workflow orchestration tools (e.g., Airflow, Databricks Workflows)
Experience designing anomaly-detection or outlier-detection approaches beyond standard threshold-based methods
Exposure to disclosure avoidance concepts or working with regulated/protected government data
Experience working across multiple coding environments (Python, R, SAS) within the same analytics platform
Background in requirements gathering or systems design for enterprise data platforms

Work Environment:

Contract position supporting a federal agency data modernization engagement
Collaborative, cross-functional environment working alongside data engineers, data scientists, architects, and program SMEs
Requires U.S. citizenship and ability to obtain a public trust or other clearance/suitability determination typical of federal contractor engagements

What BLN24 brings to the Game:

BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of - physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.

You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.
Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.

BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

Apply About employer

More about this job

Skills

Statistics
Machine learning
ML
Data engineering
Decision making
Cleaning
Data models
Reporting
Troubleshoot
Computer science
Python
pandas
PySpark
Scikit-learn
SQL
Communication skills
Databricks
Apache Spark
Workflow
Apache Airflow
R
SAS
Requirements gathering

Report this job