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Data Expert Jobs in Washington (NOW HIRING)

VTG

Data Engineer Expert

Herndon, VA · Hybrid

$117K - $141K/yr

Overview We are seeking an experienced Data Engineer to support a mission-focused enterprise environment, responsible for designing and implementing scalable data architectures, building data ...

YO AI Labs

AI Data Scientist Expert - Remote

Washington, DC · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

New

Nestle

Expert Data Scientist (AI)

Arlington, VA · On-site

Position Summary Join Nestle IT & Digital as an Expert AI Data Scientist supporting Nestle USA (NUSA).You'llsit at the seam between business and technology, framing ambiguous business problems and ...

YO AI Labs

AI Data Science Expert - Remote

Washington, DC · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

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Showing results 41-60

All JobsData Expert JobsData Expert Jobs in Washington

Data Expert information

See Washington salary details

$52.1K

$186.9K

$275.8K

How much do data expert jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data expert in Washington is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Expert vs Data Analyst?

AspectData ExpertData Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like CAP, Microsoft Data AnalystBachelor's in related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentCollaborates across departments, often involved in strategic data initiativesAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsBusiness, marketing, finance, healthcare sectors

While both roles involve working with data, a Data Expert typically has a broader scope, focusing on complex data strategies and cross-departmental projects. A Data Analyst primarily interprets data, creates reports, and supports operational decisions. The roles often overlap, but Data Experts usually possess more advanced skills and responsibilities.

Data Expert jobs near you
Infographic showing various Data Expert job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $186,899 per year, or $89.9 per hour.

Data Engineer Expert

VTG

Herndon, VA • Hybrid

$117K - $141K/yr

Full-time

Re-posted 28 days ago

Job description

Overview

We are seeking an experienced Data Engineer to support a mission-focused enterprise environment, responsible for designing and implementing scalable data architectures, building data warehouses and data lakes, and developing automated data pipelines across complex, multi-source environments. The ideal candidate will integrate diverse data streams, optimize data flow across secure environments, and enable cyber and operational analytics through reliable, governed, and accessible enterprise data solutions.

 

What will you do?

• Design, develop, and maintain scalable data models, data warehouses, and data lake architectures
• Build and automate ETL/ELT pipelines to integrate structured and unstructured data from multiple sources
• Integrate and manage diverse data streams using tools such as NiFi, Cribl, or similar platforms
• Analyze complex system, network, and log data across heterogeneous enterprise environments
• Develop and enforce data standards, governance frameworks, and best practices for enterprise data management
• Manage, monitor, and troubleshoot data feeds to ensure reliability, integrity, and performance of data pipelines
• Leverage Splunk and similar platforms to support data analysis, monitoring, and operational insights
• Support data-driven cyber and operational analytics by enabling secure and efficient data access for consumers
• Collaborate with stakeholders across security enclaves to design and implement scalable data solutions
• Ensure data solutions meet security, compliance, and operational requirements across enterprise environments


Do you have what it takes?

• Must have a Top Secret Clearance with Polygraph

• Bachelor’s or Master’s degree in Information Technology, Engineering, or related field preferred
• Minimum of 11 years of experience as a Data Engineer or Systems Engineer supporting data environments
• Experience integrating diverse data streams in complex enterprise architectures
• Experience with data ingestion and transfer tools such as NiFi, Cribl, or similar platforms
• Strong experience analyzing system, network, and log data from multiple operating systems and sources
• Experience working in multi-enclave or segmented secure network environments
• Strong Python programming and scripting experience for data processing and automation
• Experience managing and troubleshooting enterprise data pipelines and feeds
• Familiarity with Splunk or other log aggregation and analytics tools

Preferred Qualifications:


• Experience with SecDevOps principles and practices
• Hands-on experience with Splunk, including certifications
• Experience with scripting and automation tools such as Python, Shell scripting, or Ansible
• Experience implementing cloud security controls in AWS, Azure, or hybrid environments
• Experience working across public, private, and hybrid cloud environments
• AWS Certified Security – Specialty certification preferred

Qualifications:

• Must have a Top Secret Clearance with Polygraph

• Bachelor’s or Master’s degree in Information Technology, Engineering, or related field preferred
• Minimum of 11 years of experience as a Data Engineer or Systems Engineer supporting data environments
• Experience integrating diverse data streams in complex enterprise architectures
• Experience with data ingestion and transfer tools such as NiFi, Cribl, or similar platforms
• Strong experience analyzing system, network, and log data from multiple operating systems and sources
• Experience working in multi-enclave or segmented secure network environments
• Strong Python programming and scripting experience for data processing and automation
• Experience managing and troubleshooting enterprise data pipelines and feeds
• Familiarity with Splunk or other log aggregation and analytics tools

Preferred Qualifications:


• Experience with SecDevOps principles and practices
• Hands-on experience with Splunk, including certifications
• Experience with scripting and automation tools such as Python, Shell scripting, or Ansible
• Experience implementing cloud security controls in AWS, Azure, or hybrid environments
• Experience working across public, private, and hybrid cloud environments
• AWS Certified Security – Specialty certification preferred

Education:UNAVAILABLEEmployment Type: FULL_TIME

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