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Data Source Jobs in Virginia (NOW HIRING)

Data Architect

Vienna, VA · On-site

$140 - $190/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Architect the Tableau data source (TDS) layer, defining how gold-layer tables are surfaced as published data sources, including single-fact and multi-fact structures, join strategies, extract vs ...

Data Architect

Vienna, VA · On-site

$180K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Architect the Tableau data source (TDS) layer, defining how gold-layer tables are surfaced as published data sources, including single-fact and multi-fact structures, join strategies, extract vs ...

Informatica Developer

Mclean, VA · On-site

$50 - $55/hr

Support client's data quality initiative by validating data movement across source and target systems within the data hub. This role leverages Informatica IDMC and Cloud Data Quality (CDQ) tooling to ...

Leverage knowledge of defense and intelligence-related data source content to apply contextual expertise when submitting or prioritizing backlog requirements to contribute relevant perspective to ...

Sr. Analyst, Retail Data Strategy

Richmond, VA

$85K - $107K/yr

  • PTO

Proficiency with enterprise BI tools including data source integration; Power BI, Report Builder, Tableau preferred * Ability to translate between technical and business audiences; strong ...

Sr. Analyst, Retail Data Strategy

Richmond, VA · On-site

$85K - $107K/yr

  • PTO

Proficiency with enterprise BI tools including data source integration; Power BI, Report Builder, Tableau preferred * Ability to translate between technical and business audiences; strong ...

Proficiency with enterprise BI tools including data source integration; Power BI, Report Builder, Tableau preferred * Ability to translate between technical and business audiences; strong ...

Data Scientist

Arlington, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Knowledge of ODBC connection strings, and other external data source connection protocols. Engineer data analytic solutions, including prototyping, proof of concept, and full implementation. Evaluate ...

Data Scientist

Arlington, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Knowledge of ODBC connection strings, and other external data source connection protocols. Engineer data analytic solutions, including prototyping, proof of concept, and full implementation. Evaluate ...

Data Scientist

Arlington, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Knowledge of ODBC connection strings, and other external data source connection protocols. Engineer data analytic solutions, including prototyping, proof of concept, and full implementation. Evaluate ...

Data Scientist

Arlington, VA · On-site

$140K - $145K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Knowledge of ODBC connection strings, and other external data source connection protocols.* Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.

Data Scientist

Arlington, VA · On-site

$140K - $145K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Knowledge of ODBC connection strings, and other external data source connection protocols. * Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.

Data Scientist

Arlington, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Knowledge of ODBC connection strings, and other external data source connection protocols. Engineer data analytic solutions, including prototyping, proof of concept, and full implementation. Evaluate ...

Data Scientist

Chesapeake, VA · On-site

$100K - $135K/yr

Validate outputs from Data Visualization tools (such as Tableau and Advana Databricks) with the raw data source. * Gather and analyze data, organize, and document findings of studies, and prepare ...

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Showing results 1-20

Data Source information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data source jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data source 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 are the key skills and qualifications needed to thrive as a data source, and why are they important?

To thrive as a Data Source, you need a comprehensive understanding of data collection, data integrity, and compliance with relevant data standards, often supported by experience in data management or information systems. Familiarity with database management systems, data warehousing tools, and data governance frameworks is typically required. Strong attention to detail, analytical thinking, and effective communication skills are essential soft skills for ensuring accurate and accessible data delivery. These abilities are crucial for maintaining data quality, supporting decision-making, and upholding organizational trust in information assets.

How do data source professionals typically collaborate with data engineers and analysts on large projects?

Data Source professionals play a key role in bridging the gap between raw data and actionable insights. They work closely with data engineers to ensure data is collected, integrated, and maintained accurately from multiple sources, while also collaborating with analysts to understand data requirements and support reporting needs. Regular communication and alignment meetings are common, and successful collaboration often involves clearly documenting data flows, troubleshooting data quality issues, and jointly developing data pipelines. This teamwork helps ensure that data is reliable, accessible, and tailored to the organization's analytical goals.

What is the difference between Data Source vs Data Analyst?

AspectData SourceData Analyst
Primary RoleProvides raw data for analysisInterprets and analyzes data to generate insights
Required SkillsData collection, database managementData analysis, visualization, reporting
Work EnvironmentData collection points, databases, data warehousesOffice, remote, analytics teams
CertificationsDatabase certifications, data managementExcel, SQL, data analysis certifications

In summary, a Data Source focuses on providing and managing raw data, while a Data Analyst interprets this data to support decision-making. Both roles are essential in the data ecosystem but serve different functions within the data workflow.

What is a data source?

Data sources are origins or locations from which data is obtained for analysis, reporting, or storage. They can include databases, spreadsheets, APIs, data warehouses, or even physical files. In technology and business contexts, a data source provides the raw information that systems and analysts use to make informed decisions or drive applications. Understanding the type and structure of a data source is crucial for effective data integration and management.
Infographic showing various Data Source job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Data Architect

Tetra Tech

Vienna, VA • On-site

$140 - $190/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Tetra Tech rating

6.4

Company rating: 6.4 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

402nd of 447 rated engineering


Job description

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special!

Position Overview

Halvik is seeking a Data Architect with significant BI experience to lead the technical design and execution of a large-scale BI migration at the U.S. Department of Transportation. This program is migrating thousands of reports and their underlying data structures from Oracle Data Warehouse / OBIEE into a Databricks platform with Tableau as the reporting layer.

The Data Architect will design the Databricks gold-layer data models that serve Tableau, architect the Tableau data source (TDS) layer, define and maintain the automated and manual conversion processes that transform legacy report definitions into Tableau workbooks, and resolve the complex structural differences between OBIEE and Tableau (multi-fact decomposition, join strategies, naming authority). A significant part of the conversion pipeline leverages AI/LLM-generated outputs, and the Data Architect will maintain and enhance that pipeline to support the conversion goals.

The ideal candidate combines data architecture expertise with substantial hands-on BI experience. The Data Architect must understand how data models are consumed by BI tools, how report logic maps through presentation and logical layers, and how to design data structures that support both automated report generation and ad-hoc analysis at scale.

Core Responsibilities
  • Maintain the Databricks gold-layer data models that serve as the foundation for all Tableau data sources and reports. Ensure models support both automated report generation and ad-hoc analytical use.
  • Architect the Tableau data source (TDS) layer, defining how gold-layer tables are surfaced as published data sources, including single-fact and multi-fact structures, join strategies, extract vs. live connection decisions, and performance optimization patterns.
  • Own the repeatable report conversion process - covering both the LLM-assisted path (AI-generated report scaffolds reviewed and refined by BI developers) and the manual path (structured step-by-step procedures). Define quality gates and validation criteria for each path.
  • Resolve the structural differences between OBIEE and Tableau architectures.
  • Collaborate with Data Engineers on ETL pipeline design, ensuring transformation logic produces gold-layer structures optimized for Tableau consumption. Provide architectural direction on Unity Catalog governance, metadata management, and access control.
  • Design validation frameworks - including source-to-target reconciliation queries, fidelity checks, and automated comparison pipelines - that confirm migrated reports faithfully reproduce legacy business logic.
  • Maintain and improve the AI/LLM-assisted conversion pipeline.
  • Analyze legacy OBIEE RPD metadata (physical, logical, and presentation layers) to map source-to-target data lineage, identify technical debt, and inform migration sequencing and rationalization decisions.
  • Provide technical mentorship to Junior BI Developers. Serve as the escalation point for complex data modeling, join logic, and fidelity questions.
  • Contribute to migration playbooks, architectural documentation, knowledge transfer materials, and stakeholder presentations. Participate in Agile ceremonies and sprint-level planning.
Minimum Requirements
  • BS degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Statistics, or a related discipline.
  • 10+ years of experience in data architecture, including designing dimensional models for analytical and reporting environments.
  • At least 5 years of that experience must include hands-on work with BI tools and reporting platforms, designing data structures to serve BI consumption (Tableau, Power BI, OBIEE or comparable tools).
  • Hands-on proficiency with Databricks. Must be able to write Spark SQL, and design medallion-layer architectures.
  • Expert-level SQL skills.
  • Ability to design repeatable processes, standards, and architectural patterns that enable a team to execute consistently at scale.
  • Effective at communicating architectural decisions and trade-offs to both technical teams and non-technical stakeholders.
  • Effective at working in Agile delivery environments with cross-functional teams.
Preferred Expertise
  • Experience with BI platform migrations (OBIEE-to-Tableau, or similar conversions).
  • Experience using AI/LLM tools in a professional workflow - particularly for code generation, metadata analysis, or pipeline automation.
  • Familiarity with OBIEE RPD architecture (physical, logical, presentation layers).
  • Python proficiency for scripting, automation, or metadata analysis.
  • Experience with Tableau APIs
  • Experience working in a federal government IT environment.
Halvik offers a competitive full benefits package including:
  • Company-supported medical, dental, vision, life, STD, and LTD insurance
  • Benefits include 11 federal holidays and PTO
  • Eligible employees may receive performance-based incentives in recognition of individual and/or team achievements.
  • 401(k) with company matching
  • Flexible Spending Accounts for commuter, medical, and dependent care expenses
  • Tuition Assistance
  • Charitable Contribution matching

Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

Halvik'spay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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