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Data Developer Jobs in Virginia (NOW HIRING)

* Partner closely with various stakeholders to influence decisions with data and allow leaders to make key business decisions in a timely manner * Codify already available methodologies into functional ...

$108K - $129K/yr

Data Engineer ID: 1616 Location: Fort Eustis, VA Department: N/A More about this job > Description AMSG is seeking a full time Data Engineer with U.S. Army Transformation and Training Command (T2COM ...

DATA ENGINEER

Virginia Beach, VA

$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

Reston, VA · On-site

$119K - $143K/yr

Acuity, Inc. is a technology consulting firm that supports federal agencies, and they are seeking a Data Engineer to design, develop, and maintain scalable data pipelines and integration solutions.

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... Developer) * Experience with distributed data processing platforms (Spark, Databricks, or Hadoop) * Experience with SQL and NoSQL systems * Experience supporting or enabling dashboard or BI ...

Data Engineer

Arlington, VA · On-site

$130K - $157K/yr

... Developer) * Experience with distributed data processing platforms (Spark, Databricks, or Hadoop) * Experience with SQL and NoSQL systems * Experience supporting or enabling dashboard or BI ...

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

Fort Eustis, VA · Hybrid

$108K - $130K/yr

AMSG is seeking a full time Data Engineer with U.S. Army Transformation and Training Command (T2COM) or other Army experience. AMSG supports a variety of Department of Defense (DoD), Department of ...

Data Engineer

Arlington, VA · On-site

$130K - $157K/yr

... Developer) * Experience with distributed data processing platforms (Spark, Databricks, or Hadoop) * Experience with SQL and NoSQL systems * Experience supporting or enabling dashboard or BI ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

The Data Engineer delivers reliable, secure, and high-performing data solutions that support analytics, reporting, and downstream advanced analytics use cases. This individual works closely with ...

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

Reston, VA

$119K - $143K/yr

The Data Engineer delivers reliable, secure, and high-performing data solutions that support analytics, reporting, and downstream advanced analytics use cases. This individual works closely with ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Overview We are seeking a Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. The Data ...

Data Engineer

Arlington, VA

$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 ...

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Data Developer information

See Virginia salary details

$26

$52

$80

How much do data developer jobs pay per hour?

As of Jun 18, 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.

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 Data Developers?

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.

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 jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior data developers, data architects, and chief data officers can earn around or above $500,000 annually, especially with extensive experience, advanced skills in data management and analytics, and leadership responsibilities. These positions often require advanced degrees, certifications, and a strong track record in managing large data projects or teams.

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 does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large amounts of data. They often work with programming languages like SQL and Python, and use tools such as data warehouses and ETL processes to ensure data is accessible and reliable for analysis and decision-making.

What jobs in the US pay 300,000 a year?

For a Data Developer, earning $300,000 annually typically requires extensive experience, advanced skills in programming, data architecture, and often leadership responsibilities. Such compensation is more common in senior roles within large organizations, financial firms, or tech companies, especially for those with specialized expertise or managerial duties.

What jobs pay 200,000 a year in the USA?

Data Developers with advanced skills in programming, data management, and analytics can earn around $200,000 annually, especially with experience, certifications, and working in high-demand industries. Senior roles often require expertise in tools like SQL, Python, or cloud platforms and may involve leadership or specialized project responsibilities.
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:

Senior Data Platform Manager

American Institutes for Research

Arlington, VA • On-site

Full-time

Posted 12 hours ago


Job description

AIR's Tek Office is seeking an experienced Senior Data Platform Manager to join its talented group. The Senior Data Platform Manager will work closely with the AIR Modernization team and stakeholders across multiple business domains to design, build, and maintain scalable data systems. This role combines hands-on technical leadership with people management, helping drive data strategy, while mentoring engineers to implement an enterprise analytics platform, interactive dashboards, and semantic models that enable informed decision-making. This position reports into the Technology Office.
This position offers hybrid work flexibility, requiring three days per week in AIR's Virginia office, with occasional travel for meetings, training sessions, and conferences.
About AIR:
Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.
Responsibilities:
The responsibilities for the position include:
  • Lead the design, development, and lifecycle management of scalable, reliable, and efficient data pipelines and architectures.
  • Partner with business and technical stakeholders to define data requirements and deliver solutions.
  • Leverage Microsoft Fabric (Lakehouse/Warehouse/OneLake as applicable) to implement scalable and secure data storage, processing, and semantic model strategies.
  • Implement and maintain security and governance practices (workspace strategy, permissions, RLS/OLS, endorsement/certification practices, and documentation).
  • Support a healthy delivery process by contributing to standards, code reviews, and deployment practices (e.g., dev/test/prod, version control, and release coordination) as well as maintaining data security, compliance, and privacy standards.
  • Manage project priorities, timelines, and resource allocation to ensure timely delivery.
  • Evaluate and implement new tools, technologies, and processes to improve data infrastructure.
  • Lead, mentor, and grow a small team of data engineers and power BI developers, fostering a culture of collaboration, accountability, and continuous improvement.
  • Stay current with Microsoft analytics platform capabilities and recommend enhancements that improve usability, reliability, and value.
  • Responsibilities may change based on business needs.

Qualifications:
Education, Knowledge, and Experience
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field or at least 9 years of professional experience.
  • 5-8+ years of experience in data engineering or related roles, including at least 2 years managing or leading engineering teams.
  • Strong proficiency in SQL and at least one programming language (e.g., Python, Java, Scala), with hands-on experience building data pipelines using tools such as Airflow, dbt, or Spark.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and a deep understanding of data warehousing technologies (e.g., Snowflake, Redshift, BigQuery).
  • Experience with governance frameworks, environment strategy, data security, compliance, and regulatory requirements is preferred.
  • Experience with distributed systems and large-scale data processing, as well as working in an agile environment using tools like Jira and Confluence.

Skills
  • Strong communication skills, with the ability to clearly explain technical concepts to non-technical stakeholders and senior leaders, incorporate feedback, and align on solutions.
  • Proven ability to work effectively with both technical and non-technical internal and external partners, ensuring clarity, collaboration, and shared understanding.
  • Ability to manage multiple concurrent deliveries in a fast-paced environment, demonstrating strong ownership, accountability, a team-oriented mindset, and a commitment to high-quality outcomes.
  • Collaborative and team-oriented, with the ability to mentor others, establish standards, and drive adoption of best practices across the organization.
  • Experience collaborating with stakeholders to define requirements, communicate tradeoffs, and deliver analytics; preferred experience with Microsoft tools such as Azure Data Services, Microsoft Fabric, Power BI, or Azure DevOps.

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.
American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locks, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment.
ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.org or call 202.403.5000.
Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an "@air.org" domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to recruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.
#LI-MP1 #LI-Hybrid
AIR's Total Rewards Program, is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States.
Anticipated Annual Salary Range
$144,000-$168,000 USD