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Data Engineer Ml Jobs in Washington (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 · 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 · 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 ...

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 · On-site

$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

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 ...

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 ...

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 ...

MANTECH

Data Engineer

Chantilly, VA · On-site

$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.

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 ...

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 ...

540

Data Engineer

Arlington, VA

$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 ...

540

Data Engineer

Arlington, VA

$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 · On-site

$131K - $158K/yr

Data Engineer General Information Requisition #710 Locations USA-VA-Arlington Posting Date 06/12 ... Modernize and optimize data and ML workflows by implementing best practices for scalability ...

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 ...

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Showing results 21-40

All JobsData Engineer Ml JobsData Engineer Ml Jobs in Washington

Data Engineer Ml information

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 Washington?

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

What job categories do people searching Data Engineer Ml jobs in Washington look for?

The top searched job categories for Data Engineer Ml jobs in Washington are:

What cities in Washington are hiring for Data Engineer Ml jobs?

Cities in Washington with the most Data Engineer Ml job openings:

Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior AI/ML & Data Engineer

Accenture Federal Services

Chantilly, VA

$108K - $147K/yr

Full-time

Re-posted 25 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

48th of 496 rated business services

Job description

Job Description:

We are looking for an experienced Senior AI/ML and Data Engineer to develop, implement, and maintain sophisticated machine learning, LLM, and enterprise AI solutions for our federal client. The ideal candidate combines strong hands on engineering talent with architectural leadership-capable of shaping mission aligned AI strategy, designing scalable pipelines, and delivering production-grade ML and Generative AI capabilities in secure environments. This role will partner with cross functional teams - including data engineering, cloud engineering, cybersecurity, and mission SMEs - to architect end-to-end AI systems that are reliable, compliant, and impactful.

The work you'll do:

  • AI/ML Engineering:
    • Design, develop, and deploy machine learning models, LLM applications, retrieval augmented generation (RAG) pipelines, and agentic AI systems.
    • Build data preprocessing, training, fine tuning, inference, and evaluation workflows.
    • Develop scalable ML pipelines using modern toolchains (SageMaker, Bedrock, Azure ML, Databricks, Ray, HuggingFace).
    • Implement MLOps solutions including CI/CD for ML, model versioning, monitoring, logging, and drift detection.
    • Shape AI system design decisions including vector DB selection, embedding strategies, prompt architecture, and model selection.
    • Define target state architectures for LLM enabled applications, AI microservices, RAG pipelines, and knowledge retrieval systems.
  • Data & Cloud Engineering:
    • Design, build, and maintain scalable automated data pipelines (ETL/ELT) to support both batch and real-time data processing.
    • Architect data lakes and warehouses (e.g., Snowflake, Databricks, BigQuery) to ensure high availability and performance for ML workflows.
    • Implement rigorous data quality checks and validation frameworks to ensure "garbage-in, garbage-out" never applies to our models.
  • Delivery & Stakeholder Engagement:
    • Work closely with program leadership, technical SMEs, and mission stakeholders to define requirements and AI roadmaps.
    • Translate business problems into technical AI solutions and communicate tradeoffs to mixed audiences.
    • Produce architecture diagrams, interface specifications, deployment patterns, and integration plans.

Here's what you'll need:

  • Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or related field.
  • 5+ years of experience in one or more of the following areas:
    • AI/ML engineering, cloud-native development, or data engineering.
    • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
    • Hands on experience with LLM development (OpenAI, Anthropic, Bedrock, Azure OpenAI, HuggingFace Transformers).
    • Experience architecting ML pipelines using AWS, Azure, or GCP.
    • Familiarity with DevSecOps and IaC tools (Terraform, CloudFormation, Jenkins, GitLab, etc.).
    • Experience implementing microservices, APIs, and containerized workloads (Docker, Kubernetes, ECS/EKS/AKS).

Bonus points if you have:

  • Experience building RAG pipelines with vector databases (Pinecone, FAISS, Weaviate, Milvus).
  • Experience designing agentic workflows and multi agent AI systems.
  • Experience with graph databases, knowledge graphs, or semantic search.
  • Certifications such as AWS Architect, AWS ML Specialty, Azure AI Engineer, Security+.
  • Ability to translate complex technical concepts for non-technical audiences.
  • Strong problem-solving abilities with a product focused mindset.
  • Strong communication and client facing consulting skills.
  • Ability to work across cross-functional teams in a fast-paced environment.
  • Understanding of security frameworks (FedRAMP, NIST 800 53, Zero Trust) for ML systems.

Security clearance:

  • Active Top Secret (TS) security clearance is required; and must be able and willing to upgrade to TS/SCI with Poly.

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