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Data Consulting Jobs in Virginia (NOW HIRING)

Position: Azure Data Consultant Location: Reston, VA (Hybrid-3 Days Week Onsite) Duration: 6+ months Start Date: First week of August Key skills: Azure Data Warehouse, Azure Logic Apps, Azure ...

Cognicion LLC is a boutique consulting firm that helps organizations address complex data privacy, cyber response, and eDiscovery challenges. We are actively recruiting a Consultant-level ...

Health Data Analytics Consultant

Reston, VA ยท On-site

$92 - $164/hr

Optum Serve Consulting/The Lewin Group (OSC/Lewin), a premier national health care and human ... The Health Data Analytics Consultant will provide support on a number of payment model ...

Work You'll Do We are seeking a Claims Data Consultant to join our team. Responsibilities will include - * Translating research questions into analysis-ready definitions, including cohorts, measures ...

Role: Data Center Consulting Start date: ASAP Length of contract: Dec 31 2026 (potential extension planned) Remote or onsite: Remote with up to 75% travel (reimbursed by customer) Visa: Any Visa ...

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Showing results 1-20

Data Consulting information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data consulting jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data consulting in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What is data consulting?

Data consulting is a professional service that helps organizations leverage data to make informed decisions, optimize operations, and drive business growth. Data consultants analyze existing data systems, recommend strategies for data collection and management, and help implement analytics tools. They often assist with data visualization, reporting, and ensuring regulatory compliance. Their expertise enables companies to turn raw data into actionable insights, improving efficiency and competitiveness.

How do data consultants typically collaborate with clients and internal teams during a project?

Data consultants frequently work in close partnership with both clients and internal stakeholders to identify business challenges, define project objectives, and design effective data-driven solutions. This often involves regular meetings to understand client needs, ongoing communication with data engineers or analysts, and presenting actionable insights in a clear, non-technical manner. Collaboration is key, as consultants must translate complex data findings into strategies that align with the client's goals while ensuring alignment across technical and business teams. The role requires strong interpersonal and project management skills to keep projects on track and deliver measurable value.

What are the key skills and qualifications needed to thrive as a data consultant, and why are they important?

To thrive as a Data Consultant, you need expertise in data analysis, data modeling, and a solid understanding of business intelligence, often supported by a degree in a quantitative field. Proficiency with tools such as SQL, Python, data visualization platforms (like Tableau or Power BI), and familiarity with data governance frameworks are typically required. Strong communication, problem-solving, and client management skills set standout consultants apart. These competencies are crucial to effectively translate complex data into actionable insights and drive strategic decision-making for clients.

What is the difference between Data Consulting vs Data Analysis?

AspectData ConsultingData Analysis
Required CredentialsTypically requires a degree in business, data science, or related fields; certifications like CBIP or CDMP are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like CAP or Microsoft Data Analyst are beneficial
Work EnvironmentConsultants often work with multiple clients across industries, providing strategic advice and solutionsAnalysts generally work within organizations, focusing on interpreting data to inform business decisions
Employer & Industry UsageConsulting firms, large corporations, and agenciesCorporations, research institutions, and data-driven departments

Data Consulting involves advising organizations on data strategies, architecture, and solutions, often across multiple clients. Data Analysis focuses on examining data sets to uncover insights and support decision-making within a specific organization. While both roles require strong analytical skills, Data Consulting emphasizes strategic guidance, whereas Data Analysis centers on data interpretation and reporting.

How do I become a data consultant?

To become a data consultant, you typically need a bachelor's degree in a related field such as data science, statistics, or computer science. Gaining experience with data analysis tools like SQL, Python, or R, and developing strong problem-solving and communication skills are essential. Certifications in data management or analytics can also enhance your qualifications and credibility in the field.

What does a data consulting do?

A data consultant analyzes and interprets data to help organizations make informed decisions. They often work with data analysis tools, develop data strategies, and ensure data quality and security. The role requires strong analytical skills and knowledge of data management platforms.

What are popular job titles related to Data Consulting jobs in Virginia?

For Data Consulting jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Consulting jobs in Virginia look for?

The top searched job categories for Data Consulting jobs in Virginia are:

Infographic showing various Data Consulting job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Managing Consultant, Data Engineer

Richmond, VA โ€ข On-site

Thought Logic Consulting
11 - 50 employees

Full-time

Re-posted 3 days ago


Job description

Managing Consultant, Data Engineer
Department: Data Analytics
Employment Type: Full Time
Location: Richmond
Description
Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems and we do it in a highly collaborative, local-market approach, giving clients senior-level attention and giving our consultants room to grow, lead, and build.
The RoleWe are looking for a technically skilled and motivated Data Engineer with 7+ years of experience to join our growing Data & Analytics team based in Richmond, VA. In this role, you'll work closely with cross-functional teams to build modern data pipelines, develop scalable solutions, and help clients unlock insights from their data. You'll be supported by experienced architects and consultants while having the opportunity to grow your technical and consulting skills in a collaborative, client-facing environment.
What You'll Do
  • Build and maintain scalable, reliable data pipelines using tools like Azure Data Factory, AWS Glue, or Palantir Foundry
  • Develop ETL/ELT processes to transform and prepare raw data for reporting, analytics, and downstream applications
  • Collaborate with team members and clients to gather requirements, integrate data sources, and ensure high data quality
  • Assist in the development and optimization of data models and cloud-based data platforms (e.g., Snowflake, Databricks, Redshift)
  • Support the creation of dashboards and data visualizations using tools like Power BI or Tableau
  • Participate in testing, documentation, and deployment of data solutions to ensure performance and reliability
  • Engage in project workstreams alongside more senior team members, gaining exposure to client interaction and delivery best practices
  • Learn and apply modern data engineering and cloud practices in a variety of industries and use cases

Who You'll Work With
  • A team of collaborative, experienced consultants focused on solving complex business problems through data
  • Clients across industries who are looking to modernize their data platforms and make more informed decisions
  • Colleagues who prioritize curiosity, humility, and hands-on problem-solving
    A supportive environment where ongoing learning and mentorship are central to your professional growth

What You'll Bring
  • 7+ years of professional experience in data engineering, analytics, or a related technical role
  • Proficiency in SQL and working knowledge of Python or another scripting language
  • Hands-on experience with ETL/ELT processes and modern data tools such as Azure Data Factory, AWS Glue, Snowflake, or Databricks
  • Familiarity with cloud environments (AWS, Azure, Palantir Foundry or similar) and data modeling concepts
  • Understanding of data integration, quality, and performance tuning principles
  • Ability to work collaboratively on fast-paced projects with a mix of technical and non-technical stakeholders
  • Strong problem-solving and communication skills
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field
  • Currently reside in Richmond, VA or willingness to relocate at your expense.
  • Ability to legally work for any employer in the US without sponsorship

Bonus Points if You Have
  • Experience with tools like Apache Airflow, dbt, or Palantir Foundry
  • Familiarity with big data technologies such as Spark, Kafka, or Redshift
  • Exposure to dashboarding and visualization tools like Power BI or Tableau
  • Certifications in cloud platforms or data engineeringtechnologies
  • Previous consulting firm experience

Why Thought Logic
  • Work on transformations that matter, not slide decks that sit on shelves
  • Real responsibility and ownership over how work gets delivered and how clients experience us
  • Direct access to firm leadership and influence over how we grow and evolve
  • A culture that values depth over optics, outcomes over activity, and people over process
  • The chance to grow your career in a firm that's scaling thoughtfully and intentionally, not just chasing growth for growth's sake