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Data Solutions Jobs in Virginia (NOW HIRING)

Saransh Inc

Sr Data Architect

Mclean, VA · On-site

$68 - $91/hr

This role requires a strong background in data engineering, hands-on experience building cloud data solutions, and a talent for communicating complex designs through clear diagrams and documentation.

Steampunk

Technical Architect - Data

Mclean, VA · On-site

$64.50 - $83/hr

Design greenfield data solution stacks in the cloud or on-premises using modern data services, technologies, and industry best practices. * Architect the migration and modernization of legacy data ...

Steampunk

Technical Architect - Data

Mclean, VA

$64.50 - $83/hr

Design greenfield data solution stacks in the cloud or on-premises using modern data services, technologies, and industry best practices. * Architect the migration and modernization of legacy data ...

Steampunk

Technical Architect - Data

Mclean, VA

$64.50 - $83/hr

Design greenfield data solution stacks in the cloud or on-premises using modern data services, technologies, and industry best practices. * Architect the migration and modernization of legacy data ...

VTG

Data Engineer Expert

Herndon, VA · On-site

$117K - $141K/yr

... 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 ...

Agile Defense

Data Scientist

Falls Church, VA · On-site

They are seeking a Data Scientist to design, develop, and deploy AI-enabled data solutions within the Department of Defense, working closely with a multidisciplinary team to transform raw data into ...

Apex Systems

Data Architect

Glen Allen, VA · On-site

$59.25 - $76.25/hr

Specify data solutions that meet non-functional requirements (NFRs) such as scalability, performance, and reliability * Perform technology evaluations in support of the teams, with appropriate ...

KDA Consulting Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments. The ideal candidate will have strong ...

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All JobsData Solutions JobsData Solutions Jobs in Virginia

Data Solutions information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data solutions jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data solutions 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 a Data Solutions job?

A Data Solutions job involves designing, developing, and implementing data-driven solutions to help organizations manage, analyze, and utilize their data effectively. Professionals in this role work with data storage, processing, and analytics tools to improve business decision-making. They may collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, reliable, and secure. Responsibilities often include cloud data management, database optimization, and system integrations.

What are the key skills and qualifications needed to thrive in the Data Solutions position, and why are they important?

To thrive in Data Solutions, you need strong analytical abilities, a solid grasp of data management, and experience with data integration, transformation, and visualization—often supported by a degree in computer science, data science, or a related field. Familiarity with tools such as SQL, ETL platforms, business intelligence tools (like Tableau or Power BI), and cloud databases is highly valuable, as are certifications in data analytics or cloud technologies. Excellent problem-solving skills, project management, and clear communication are key soft skills that help you interpret requirements and translate them into actionable solutions. These skills and qualities are vital for ensuring organizations can effectively leverage data to make informed decisions and maintain a competitive edge.

What is a data solutions job description?

A data solutions job involves designing, developing, and implementing data management and analytics systems to help organizations make data-driven decisions. It typically requires skills in data modeling, database management, and familiarity with tools like SQL, Python, or data visualization software. The role may also involve collaborating with teams to optimize data workflows and ensure data quality.

What is the highest paying data job?

The highest paying data job is typically a Chief Data Officer or Data Executive, earning six-figure salaries or higher, especially in large organizations. Senior roles such as Data Architects or Data Science Directors also command high compensation, often supplemented by bonuses and stock options, depending on experience and industry.

What professions make 500,000 a year?

In the field of data solutions, senior roles such as Chief Data Officer, Data Science Director, or Data Engineering Manager can earn $500,000 or more annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data analysis, machine learning, and leadership, along with strong business acumen and often a master's or Ph.D. degree.

Is 40 too late for data science?

Data solutions roles in data science do not have strict age limits, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Age should not be a barrier if you build a strong portfolio and stay current with industry developments.

What are the main career growth opportunities for professionals in Data Solutions roles?

Careers in Data Solutions offer a wide range of advancement opportunities, as professionals can move into specialized positions such as data architect, data engineer, or solutions architect, or transition into leadership as project managers or heads of data strategy. With the rapid expansion of data-driven initiatives across industries, the demand for experienced professionals often leads to roles in consulting, team leadership, or enterprise-level data strategy. Continuous skill development in emerging technologies like cloud computing and machine learning can further accelerate career progression. Many organizations also offer formal training and mentorship to help Data Solutions professionals achieve their career goals.

What are the most commonly searched types of Data Solutions jobs in Virginia? The most popular types of Data Solutions jobs in Virginia are:
What are popular job titles related to Data Solutions jobs in Virginia? For Data Solutions jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Solutions jobs in Virginia look for? The top searched job categories for Data Solutions jobs in Virginia are:
Data Solutions jobs near you
Infographic showing various Data Solutions job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.
Data Engineering Lead- Finance

Data Engineering Lead- Finance

DPR Construction

Richmond, VA

$113K - $136K/yr

Full-time

Posted 7 hours ago

DPR Construction rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

20th of 80 rated construction

Job description

Job DescriptionWe are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals.
This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations.
Responsibilities
  • Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions.
  • Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams.
  • Partner with the extended data team to define, develop, and maintain shared data models and definitions.
  • Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems.
  • Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery.
  • Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance.
  • Support incident resolution and perform root cause analysis for data-related issues.
  • Create and maintain both business requirement and technical requirement documentation
  • Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions.
  • Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns.
Qualifications
  • Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS).
  • Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities.
  • Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL
  • Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST).
  • Experience with modern data platforms like Snowflake and Microsoft Fabric.
  • Solid understanding of Data Modeling, pipeline orchestration and performance optimization
  • Strong problem-solving skills and ability to troubleshoot complex data issues.
  • Excellent communication skills, with the ability to work collaboratively in a team environment.
  • Familiarity with tools like Power BI for data visualization is a plus.
  • Experience working with or coordinating with overseas teams is a strong plus
Preferred Skills
  • Knowledge of Airflow or other orchestration tools.
  • Experience working with Git-based workflows and CI/CD pipelines
  • Experience in the construction industry or a similar field is a plus but not required.

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.

Explore our open opportunities atwww.dpr.com/careers.

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