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Data Engineer Ml Jobs in Reston, VA (NOW HIRING)

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

MLOps & ML-Enabled Data Pipelines * Partner with data scientists and data engineers to create feature pipelines, model training pipelines, and production scoring pipelines. * Deploy and ...

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

MLOps & ML-Enabled Data Pipelines * Partner with data scientists and data engineers to create feature pipelines, model training pipelines, and production scoring pipelines. * Deploy and ...

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

MLOps & ML-Enabled Data Pipelines * Partner with data scientists and data engineers to create feature pipelines, model training pipelines, and production scoring pipelines. * Deploy and ...

MANTECH

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Preferred Qualifications : * Experience deploying systems that leverage AI/ML technology.

VTG

Data Engineer

Chantilly, VA · On-site

$140K - $195K/yr

Seeking a Cloud Data Engineer to design, develop, and optimize scalable cloud-based data platforms that support analytics, AI/ML, and business intelligence initiatives. This role focuses on cloud ...

VTG

Data Engineer

Chantilly, VA

$140K - $195K/yr

Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards * Experience with non-relational and semi-relational databases

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$140 - $200/hr

You. Data Engineering Subject Matter Expert (SME) Platinum Technologies is seeking a Data ... Support AI/ML initiatives by developing reliable, high-quality data pipelines that provide curated ...

MANTECH

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Preferred Qualifications : * Experience deploying systems that leverage AI/ML technology.

Platinum Technologies

Data Engineer

Herndon, VA

$117K - $141K/yr

The Data Engineering Subject Matter Expert serves as the senior technical authority for developing ... Support AI/ML initiatives by developing reliable, high-quality data pipelines that provide curated ...

Fantom Corporation

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

We are seeking a Data & Software Engineer to join a small, agile team developing advanced data ... Integrate AI/ML services, machine learning models, and advanced analytics capabilities into ...

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

The Data Engineering Subject Matter Expert serves as the senior technical authority for developing ... Support AI/ML initiatives by developing reliable, high-quality data pipelines that provide curated ...

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

The Data Engineering Subject Matter Expert serves as the senior technical authority for developing ... Support AI/ML initiatives by developing reliable, high-quality data pipelines that provide curated ...

MANTECH

Data Engineer

Chantilly, VA

$117K - $140K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... Preferred Qualifications : * Experience deploying systems that leverage AI/ML technology.

Agile Defense

Data Engineer

Falls Church, VA · On-site

$150 - $175/hr

Data Engineer Location: Camp Smith, HI Clearance Level: Top Secret, Must Have Clearance to Start ... Objective 2: Build and Operationalize AI/ML Solutions * Develop and deploy standalone or embedded ...

New

Pantheon Data

Senior Data Engineer

Reston, VA · Remote

$140K - $160K/yr

Experience with AWS, vector search, document data, or AI/ML data pipelines is valuable, but the core requirement is strong data engineering judgment: knowing how to move, structure, validate, and ...

Pantheon Data

Senior Data Engineer

Reston, VA · On-site

$140K - $160K/yr

Experience with AWS, vector search, document data, or AI/ML data pipelines is valuable, but the core requirement is strong data engineering judgment: knowing how to move, structure, validate, and ...

540

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Working with software engineers, AI/ML engineers, cybersecurity teams, and mission stakeholders ... Data Engineer II or III WHY 540? 540 is a forward-thinking company that the government turns to in ...

540

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Working with software engineers, AI/ML engineers, cybersecurity teams, and mission stakeholders ... Data Engineer II or III WHY 540? 540 is a forward-thinking company that the government turns to in ...

Elder Research

Data Engineer

Arlington, VA

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Modernize and optimize data and ML workflows by implementing best practices for scalability ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Modernize and optimize data and ML workflows by implementing best practices for scalability ...

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Showing results 21-40

All JobsData Engineer Ml JobsData Engineer Ml Jobs in Reston, VA

Data Engineer Ml information

See Reston, VA salary details

$47.9K

$171.7K

$253.3K

How much do data engineer ml jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer ml in Reston, VA is $171,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,900.00 and $176,900.00 per year, depending on experience, location, and employer.

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer Ml jobs in Reston, VA?

For Data Engineer Ml jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Ml jobs in Reston, VA look for?

The top searched job categories for Data Engineer Ml jobs in Reston, VA are:

What cities near Reston, VA are hiring for Data Engineer Ml jobs?

Cities near Reston, VA with the most Data Engineer Ml job openings:

Data Engineer Ml jobs near you

Databricks Data Engineer

Berkley

Manassas, VA • On-site

$114K - $137K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Company Details
We started in early 2019 as a small group of technologists with a passion for making insurance better. Today we are working with a team of industry experts who run five different insurance brands and collectively control $1 billion in annual premiums.
We believe in an idea and execution meritocracy. In other words, a place where the best ideas win and the people who deliver the most value get the most opportunities.
As we grow our team, we are looking for inquisitive, entrepreneurial people who are excited to reimagine the insurance industry.
Insurance is too complex. Help us make it better.
Responsibilities
This position requires on-site work Monday-Thursday at either our Manassas, VA or Chesterfield, MO location.
The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision advantage at scale. This role will work with cutting-edge tools like Databricks, Delta Lake, PySpark, and AI/BI genie to transform raw data into actionable insights. As a hands-on Databricks Data Engineer with deep expertise in Azure Databricks and MLOps, this role will have the opportunity to migrate and translate legacy SSIS ETL logic into scalable, cloud-native data pipelines in Databricks. This role will partner with data engineers, data scientists, and product manager to design features, train/evaluate models, and deploy them to production using MLflow, Databricks and Workflows-with rigorous observability, governance (Unity Catalog), and CI/CD automation.
Data Pipeline Engineering
  • Design, build, and maintain high-performance, scalable ETL/ELT pipelines using Azure Databricks, Delta Lake, and PySpark.
  • Convert and modernize existing SSIS package logic into cloud-native Databricks pipelines using PySpark notebooks, Delta Live Tables (DLT), and Databricks Workflows.
  • Implement reliable batch and streaming pipelines with robust data quality and validation frameworks.
  • Optimize pipeline performance using Photon, efficient file formats, partitioning, Z-ordering, and caching strategies.

Lakehouse Platform Development
  • Develop and manage datasets within Delta Lake, ensuring ACID reliability, schema evolution, versioning, and time travel.
  • Architect feature-rich data layers including:
    • Bronze (raw ingestion)
    • Silver (validated, conformed)
    • Gold (analytics-ready and ML-ready)
  • Implement data governance using Unity Catalog for fine-grained access control, lineage, auditability, and metadata management.

MLOps & ML-Enabled Data Pipelines
  • Partner with data scientists and data engineers to create feature pipelines, model training pipelines, and production scoring pipelines.
  • Deploy and operationalize models using MLflow, Databricks Model Registry, and Databricks Workflows.
  • Use Databricks built-in AI SQL functions such as ai_query, ai_forecast, ai_analyze_sentiment to generate actionable insight from large amount of unstructured or structured raw data
  • Implement monitoring for:
    • Pipeline failures
    • Data/feature drift
    • Model performance degradation
    • Operational SLAs/SLIs/SLOs
  • Build automated CI/CD workflows using GitHub Actions or Azure DevOps for notebook deployment, pipeline testing, and environment promotion.

Data Platform, Data Security & Data Governance
  • Collaborate with data engineers to design reliable data products on Delta Lake; leverage Delta Live Tables (DLT) for declarative pipelines when applicable.
  • Enforce Unity Catalog for lineage, permissions, and audit; manage secrets, tokens, and keys securely (e.g., Databricks secrets, Key Vault/Secrets Manager).

Collaboration & Leadership
  • Work closely with cross-functional teams: data engineering, data scientist, product manager, and business stakeholders.
  • Serve as a Databricks SME-championing best practices, code standards, governance, and reusable frameworks.
  • Document architecture, workflows, data models, runbooks, and operational procedures.

Qualifications
  • Minimum of 3 years of experience in Databricks, PySpark notebooks, Python, DevOps, software development, and data engineering.
  • Certified Databricks Data Engineer Associate or Professional is a plus.

Skills & Competencies
  • Proficient in designing, building, deploying, and maintaining high-performance, scalable ETL/ELT pipelines using Azure Databricks, Delta Lake, and PySpark Notebook.
  • Proficient in building, deploying, and operating production ML models such as supervised, unsupervised, and anomaly detection, including techniques for imbalanced datasets
  • Proficient with ML engineering and MLOps, including model versioning, CI/CD for ML, monitoring, drift detection, and automated retraining
  • Proficiency in Python including Pandas and PySpark Dataframes
  • Expert level of SQL skills including Stored Procedure, experience with SSIS, SSRS, Power BI is a plus.
  • Proficient with cloud data engineering platforms, such as Azure, Databricks, Spark, or SQL, and batch and streaming pipelines
  • Familiar with Databricks AI Built-In Functions such as AI_Query, AI_Gen, AI_Classify, AI_Forecast, AI_Analyze_Sentiment, able to use them to extract actionable insights from large amount of unstructured or structured raw data
  • Experience with Python and ML frameworks, such as PyTorch or TensorFlow
  • Experience improving data quality, lineage, and observability in enterprise data environments and operationalizing rules and model-driven scoring for prioritization, routing, or case selection
  • Experience with predictive analytics, machine learning and artificial intelligence desired.

Education
  • A Bachelor's degree in Computer Science, Management Information Systems, Engineering, Math, Physics, or a related quantitative field is required (4-year degree). Master's degree preferred
  • Experience in the commercial insurance industry is a plus.

Additional Company Details
The Company is an equal employment opportunity employer.
We do not accept any unsolicited resumes from external recruiting firms.
The company offers a competitive compensation plan and robust benefits package for full time regular employees.
Base salary & Benefits include Health, dental, vision, life, disability, wellness, paid time off, 401(k) and profit-sharing plans.
-Salary Range: $110k- $140k
The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
Additional Requirements
• Ability to travel locally and nationally up to 5% of the time
Sponsorship Details
Sponsorship not Offered for this Role

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