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Data Source Jobs in Virginia (NOW HIRING)

Data Scientist

Arlington, VA · On-site

$140K - $145K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports. • Knowledge and ...

Data Scientist

Arlington, VA · On-site

$140K - $145K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports. • Knowledge and ...

Jr. BI Developer

Vienna, VA · On-site

$85K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply performance best practices (context filters, extract optimization, data source filters) under senior developer guidance. * Handle template-conforming reports independently. Escalate complex ...

Strong experience creating complex calculated fields and multi-data-source reports. * Experience working with HCM and/or Financials data in Workday. * Strong SQL or data analysis background ...

Data Steward (JECC)

Norfolk, VA

$78K - $98K/yr

  • Medical

  • Retirement

  • PTO

Strong understanding of data governance, authoritative data source management, and experience defining data models, business rules, metadata standards, and data definitions. * Knowledge of enterprise ...

All Source Analyst

Reston, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an all-source analyst, you understand the constant drive to seek out better, more accurate ... In today's data-saturated environment-defined by rapidly expanding data streams, advanced ...

All Source Analyst

Reston, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Share All Source Analyst The Opportunity : As an all-source analyst with MIDB experience, you ... In today's data-saturated environment-defined by rapidly expanding data streams, advanced ...

All Source Analyst

Reston, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an all-source analyst, you understand the constant drive to seek out better, more accurate ... In today's data-saturated environment-defined by rapidly expanding data streams, advanced ...

All Source Analyst

Reston, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

All Source Analyst The Opportunity : As an all-source analyst with MIDB experience, you understand ... In today's data-saturated environment-defined by rapidly expanding data streams, advanced ...

All-Source Analyst

Reston, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an all-source analyst, you understand the constant drive to seek out better, more accurate ... In today's data-saturated environment, defined by rapidly expanding data streams, advanced ...

All-Source Analyst

Reston, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an all-source analyst, you understand the constant drive to seek out better, more accurate ... In today's data-saturated environment, defined by rapidly expanding data streams, advanced ...

Showing results 21-40

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 Scientist

LinTech Global

Arlington, VA • On-site

$140K - $145K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Dexian Government Solutions is recruiting for a Data Scientist to support our contract at the USPSOIG in Arlington, Virginia.
Position Description
• Works independently and within teams to use the necessary data extraction, manipulation, and aggregation techniques to prepare, clean, normalize, and validate data to complete varied projects and tasks.
• Researches, designs, and develops visualization solutions using a range of methods which support investigative and audit products.
• Designs experiments, tests hypotheses, and builds scalable models using data science and artificial intelligence (e.g. machine learning) methods.
• Designs, develops, and adapts mathematical, statistical, econometric, and other analytical solutions for audit, investigation, research, and support functions.
• Leads artificial intelligence activities such as natural language processing, predictive analytics, and machine learning model development, training, evaluation, testing, refinement, deployment, and maintenance.
• Translates complex technical findings into an easily understood narrative. Prepares comprehensive documentation for requirements, test plans, user manuals, technical diagrams, and training materials.
• Develops project communications and maintains effective working relationships between project teams, stakeholders, and management.
• Provides advice on issues affecting projects, such as data access, quality, storage, and other related needs.
• Contributes to and presents training and conference materials to large audiences.
• Independently performs comprehensive and efficient data collection and analysis of a variety of data sources to develop trends, descriptive statistics, or other insights.
• Uses expert level knowledge to identify and develop sources of information from structured and unstructured data, criminal intelligence databases, public information sources, internal Postal Service databases, reference manuals, and audit and law enforcement reports.
• Independently researches, extracts, evaluates, interprets, and visualizes data and information as actionable intelligence for auditors and investigators to detect, prevent, and respond to fraud, waste, and abuse.
• Uses relational databases, data lakes, data lakehouses, and other data environments to create a variety of analytic products such as business intelligence tools, summary tables, comparison graphs, or temporal, association, and link analysis charts.
• Interacts with other agencies and builds relationships with peers to share information and learn the latest developments in analytical tools and techniques to effectively support the OIG with mission related work.
• Develops substantial knowledge of database applications and environments and shares expertise with coworkers in support of agency goals and objectives.
• Expert proficiency in common data science tools, including scripted languages (such as Python, R, and JavaScript), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.
• Knowledge and experience using advanced analytic techniques such as machine learning, natural language processing, robotic process automation (RPA), artificial intelligence, text and/or data mining, and statistical and mathematical methods.
• Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).
• Knowledge of AWS or Azure Services, including Databricks, Data Factory, Data Lakehouses, and Data Lake.
• Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
• Coordinate with staff and customers to identify business and technical requirements.
• Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.
• Assist the agency in the development of programming and visualization solutions.
• Troubleshoot and provide support on existing projects or application efforts.
• Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.
• 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, assess, document, and test data security and continuity of operations for systems and programs.
• Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
Position Requirements:
• Proficiency in common data science tools and programming and scripting languages such as SQL, Python, R, and JavaScript with a proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
• Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
• Skill using advanced analytic techniques such as machine learning, natural language processing, robotic process automation (RPA), artificial intelligence, text and/or data mining, and statistical and mathematical methods.
• Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
• Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
• Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
• Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
• Assist with training and conference development which may include presentations to large audiences.
• Facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
• Ensure that quality/security guidelines are followed.
• Strong relational database and querying languages experience.
• Strong verbal and written communication skills.
• Must be able to work effectively in a team environment.
• Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
Desired Requirements:
• Specialized experience working with programming languages (e.g., Python), business intelligence tools (e.g., Power BI), and analytics platforms (e.g., Databricks).
• Knowledge and experience in the law enforcement and/or audit industry
• Knowledge and experience using cloud computing platforms such as Azure
• Knowledge and experience with relational databases and structured query language (SQL)
• Certifications: Professional Certification(s) in a related field of data science and/or data analytics disciplines preferred.
Required Experience:
• Degree in Computer Science, Information Technology, Data Analytics, or related field.
• 5+ years' experience and skill writing coding languages (such as SQL, Python, R, and JavaScript).
• 3+ years' experience working with projects involving machine learning, natural language processing, robotic process automation (RPA), artificial intelligence, text and/or data mining, as well as statistical and mathematical methods.
• At least 6 months' experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
Company Description
Dexian Government Solutions is an award-winning, ISO 9001:2015 certified, business and GSA contract holder providing diversified Information Technology services to both Civilian and Defense agencies. Services include Software Development, Systems Integration, Data Management, Project Management, Operations & Maintenance, Cybersecurity, and Training and Audio/Visual (AV) Solutions. Dexian Government Solutions has received several recognitions, including rankings on "Top 50 Companies to Watch", Washington Technology's Annual "FAST 50", and Inc. 500's List of "Fastest Growing Private Companies". The Dexian Government Solutions team is comprised of individuals who are dedicated to the success and sustainability of our customers and their missions. Our combination of technical expertise, big business experience, and small business agility allows us to promptly provide our customers with exceptional IT and engineering solutions.
Benefits
Our robust benefits package includes Open Paid Time Off, 11 Federal Paid Holidays & 5 Paid Sick Days, Company-paid Life/AD&D, Company-paid Short Term and Long-Term Disability, Health Insurance with Company Contribution, 401k Plan with Company Match, Employee Recognition Program, opportunity for Employee Referral Bonus, opportunity for annual Performance Bonus and much more!
EEO Statement
Dexian Government Solutions is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided based on qualifications, merit, and business need.
All applicants will be considered for employment without attention to race, religion, color, national origin, ancestry, physical or mental disability, medical condition, pregnancy (including childbirth, lactation and related medical conditions), marital status, genetic information (including characteristics and testing), gender, sexual orientation, gender identity or expression, military and veteran status, or any other status protected under federal, state, or local law in the locations where we operate.
If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Human Resources. The Company invites any applicant and/or employee to review the Company's written Affirmative Action Plan. This plan is available for inspection upon request.
#DICE
#LI-LM1
This role requires customer approval, suitability to hold a public trust and successful completion of a preemployment background screening.