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Data Developer Jobs in Virginia (NOW HIRING)

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Platinum Technologies is seeking a Data Engineering Subject Matter Expert (SME) to join our team. In this position you will provide technical leadership for the design, implementation, and ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Platinum Technologies is seeking a Data Engineering Subject Matter Expert (SME) to join our team. In this position you will provide technical leadership for the design, implementation, and ...

Data Engineer

Herndon, VA

$117K - $141K/yr

Platinum Technologies is seeking a Data Engineering Subject Matter Expert (SME) to join our team. In this position you will provide technical leadership for the design, implementation, and ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Familiarity with CI/CD pipelines and DevOps practices. * Experience working with large datasets and distributed data processing frameworks. * Strong analytical and troubleshooting skills with the ...

Proficiency with programming languages such as Python, R, Java, SQL, and their open-source packages ... Familiarity with big data open-source tools (e.g. - Spark, Hadoop, Kafka, etc.) and open-source web ...

DATA ENGINEER

Virginia Beach, VA · On-site

$101K - $121K/yr

Data Engineer Banking (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Banking to support data pipelines and analytics platforms for financial ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Role: Data Engineer. Location: McLean VA -hybrid Duration : Contract Tech stack: Python Pyspark node.js vue.js AWS EMR/Glue Lambda S3 SNS DynamoDB Databricks Description: Sr. Data Engineer Leads ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Senior Database Developer

Ashburn, VA · Hybrid

$110K - $150K/yr

Senior Database Developer Job #1081 Clearance: Active Public Trust in DHS or a component of DHS ... Experience in data profiling, cleansing, reporting, data staging, ETL jobs * Strong experience ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Engineer

Herndon, VA

$117K - $141K/yr

Altus Consulting is seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure that provide ...

Showing results 21-40

Data Developer information

See Virginia salary details

$26

$52

$80

How much do data developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data developer in Virginia is $52.66, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $59.57 per hour, depending on experience, location, and employer.

What is a data developer?

Data Developers are professionals who design, build, and maintain systems that collect, store, process, and analyze large volumes of data. They work with databases, data pipelines, and various programming languages to ensure that an organization’s data is accessible, reliable, and efficiently managed. Data Developers often collaborate with data analysts, data scientists, and other IT staff to support business intelligence and data-driven decision-making. Their responsibilities may include writing complex SQL queries, developing ETL (extract, transform, load) processes, and optimizing database performance.

How does a data developer typically collaborate with data analysts and data engineers within a project team?

Data Developers frequently work alongside data analysts and data engineers to design, build, and maintain robust data pipelines and databases. While data engineers often focus on the infrastructure and large-scale data architecture, Data Developers bridge the gap by implementing data models, optimizing queries, and ensuring data is accessible and reliable for analysis. Regular collaboration includes aligning on data requirements, troubleshooting data flow issues, and refining processes to support business intelligence and reporting needs. This teamwork ensures that data assets are accurate, up-to-date, and tailored for various stakeholder needs.

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

To thrive as a Data Developer, you need strong programming skills (such as SQL, Python, or Java), a deep understanding of database design, and experience with data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL Server, Oracle, ETL platforms, and cloud data services, as well as certifications in database technologies, are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and translating data needs into solutions. These competencies ensure efficient data management, support business intelligence efforts, and enable the delivery of reliable, scalable data systems.

What is the difference between Data Developer vs Data Analyst?

AspectData DeveloperData Analyst
Primary RoleBuilds and maintains data pipelines, databases, and data infrastructureAnalyzes data to generate reports, insights, and support decision-making
Skills & CertificationsSQL, ETL tools, programming (Python, Java), database managementSQL, Excel, data visualization tools, statistical analysis
Work EnvironmentData engineering teams, IT departments, software development environmentsBusiness units, analytics teams, management
Industry UsageTechnology, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

While Data Developers focus on creating and maintaining the data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are popular job titles related to Data Developer jobs in VA?

For Data Developer jobs in VA, the most frequently searched job titles are:

Infographic showing various Data Developer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $109,541 per year, or $52.7 per hour.

Senior Consultant - Data & Analytics

Highspring

Mclean, VA • On-site

$76K - $122K/yr

Full-time

Re-posted 4 days ago


Job description

Transform Your Career
We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way.
Embrace new challenges and deliver real value to some of the world's most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning.
The Team - Data & Analytics
Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments.
Your Impact
As a Senior Consultant, Data & Analytics, you will:
  • Design and build modern data warehouses and analytics-ready data models
  • Develop scalable, reliable data pipelines using cloud-based data platforms
  • Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders
  • Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions
  • Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines
  • Present findings, recommendations, and solution designs to both technical and non-technical audiences
  • Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code
  • Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts
  • Actively participate in internal knowledge sharing, mentoring, and career development activities

At a Minimum, You Will Have:
  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field
  • 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment
  • Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development
  • Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies
  • Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent
  • Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality
  • Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines
  • Strong communication skills and comfort engaging with client stakeholders at varying levels of technical depth
  • Ability to work independently while collaborating effectively within cross-functional teams
  • Flexibility for travel, as needed

Preferably, You Will Have:
  • Experience designing data architectures and analytics solutions in cloud-native environments
  • Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows
  • Exposure to Agile or other iterative delivery methodologies
  • Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions
  • A demonstrated interest in continuously learning new tools, platforms, and analytics techniques

Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance.
Base Compensation Range
$76,194-$122,981 USD