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Sql Developer Data Engineer Jobs in Springfield, VA

SQL Developer/DBA

Bethesda, MD ยท On-site

$53.50 - $67/hr

Sr. SQL Developer/DBA 12+ Months Bethesda, MD - IN PERSON INTERVIEW 1-2 days Onsite We are seeking ... Create Data Transformation Service (DTS) packages to convert and load data. * Conduct performance ...

Databricks Data Engineer

Manassas, VA ยท On-site

$114K - $137K/yr

Convert and modernize existing SSIS package logic into cloud-native Databricks pipelines using ... Build automated CI/CD workflows using GitHub Actions or Azure DevOps for notebook deployment ...

PL-SQL Developer

Rockville, MD ยท On-site

$51.75 - $65.25/hr

PL/SQL Developer Location: Rockville, MD-Onsite Duration: 12 months Passport number is mandatory at the time of submission for H1/EAD applicants... Responsibilities: * Bachelor's degree or equivalent ...

Gupta SQL Developer

Mclean, VA ยท On-site

$45.75 - $62.75/hr

Around 5-7 years of Gupta/SQL hands on knowledge * Work with technical leads and Sr. Developer and enhance application developed in Gupta/SQL all the way to production deployment * Independent and ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Write, test, and refine reusable, well-documented code in Python, SQL, Java, and other languages ...

Databricks Data Engineer

Manassas, VA ยท On-site

$114K - $137K/yr

Convert and modernize existing SSIS package logic into cloud-native Databricks pipelines using ... Build automated CI/CD workflows using GitHub Actions or Azure DevOps for notebook deployment ...

Databricks Data Engineer

Manassas, VA ยท On-site

$114K - $137K/yr

Convert and modernize existing SSIS package logic into cloud-native Databricks pipelines using ... Build automated CI/CD workflows using GitHub Actions or Azure DevOps for notebook deployment ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Write, test, and refine reusable, well-documented code in Python, SQL, Java, and other languages ...

They are seeking a highly motivated and self-directed professional to fill the role of Software Developer/Data Engineer to support their team in Northern Virginia, focusing on cloud-based application ...

They are seeking a highly motivated Software Developer/Data Engineer to support cloud-based application development as part of their software development team in Northern Virginia. Responsibilities ...

Jr. Oracle PL/SQL Developer

Washington, DC ยท On-site

$65K - $80K/yr

NET development a plus Experience with Data Modeling Experience with MicroStrategy Experience with Informatica PowerCenter Experience with Informatica IDQ Additional Information Why Veredus?

Enterprise Data Engineer

Chantilly, VA

$117K - $140K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... Write robust and efficient Python and SQL scripts to automate data processing tasks * Integrate ...

Showing results 21-40

Sql Developer Data Engineer information

See Springfield, VA salary details

$21

$54

$76

How much do sql developer data engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for sql developer data engineer in Springfield, VA is $54.94, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $62.26 per hour, depending on experience, location, and employer.

What is the difference between Sql Developer Data Engineer vs Data Analyst?

AspectSql Developer Data EngineerData Analyst
Required SkillsSQL, ETL, data modeling, programming (Python, Java)Data visualization, statistical analysis, SQL
CertificationsSQL certifications, cloud platform certificationsData analysis or visualization certifications
Work EnvironmentData pipelines, database management, cloud platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

The Sql Developer Data Engineer focuses on building and maintaining data pipelines, databases, and infrastructure, often working with large-scale data systems. Data Analysts interpret data, create reports, and provide insights for decision-making. While both roles require SQL skills, Data Engineers typically have more programming and system architecture responsibilities, whereas Data Analysts focus on data interpretation and visualization.

What is a SQL developer data engineer?

SQL Developer Data Engineers are technology professionals who design, develop, and maintain databases and data pipelines using SQL and related tools. They are responsible for extracting, transforming, and loading (ETL) data to ensure it is accessible, reliable, and optimized for analysis and reporting. These engineers collaborate with other IT and business teams to support data-driven decision-making, improve data quality, and implement data security measures. Their work is crucial for organizations that rely on large amounts of data for their operations and analytics.

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

To thrive as an SQL Developer/Data Engineer, you need strong proficiency in SQL, database design, data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools, data warehousing solutions, and platforms like Microsoft SQL Server, Oracle, or cloud-based databases, as well as certifications such as Microsoft Certified: Azure Data Engineer Associate, are often required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating with stakeholders and translating business requirements into technical solutions. These skills and qualities enable efficient data management, reliable data pipelines, and actionable insights that drive business decisions.

How do SQL developer data engineers typically collaborate with data analysts and other stakeholders within a company?

SQL Developer Data Engineers frequently work closely with data analysts, business intelligence teams, and other stakeholders to ensure data is accessible, reliable, and optimized for analysis. They are responsible for designing and maintaining the data infrastructure, writing complex queries, and translating business requirements into technical solutions. Regular meetings and clear communication are essential, as they often need to explain technical concepts to non-technical team members and incorporate feedback to refine data models or reporting systems. This collaborative environment enables efficient data-driven decision-making across the organization.
What are popular job titles related to Sql Developer Data Engineer jobs in Springfield, VA? For Sql Developer Data Engineer jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Sql Developer Data Engineer jobs in Springfield, VA look for? The top searched job categories for Sql Developer Data Engineer jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Sql Developer Data Engineer jobs? Cities near Springfield, VA with the most Sql Developer Data Engineer job openings:
Infographic showing various Sql Developer Data Engineer job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,278 per year, or $54.9 per hour.

Sr. IT Big Data Developer

Diverse Agile Solutions

Washington, DC โ€ข On-site

$160K - $175K/yr

Full-time

Re-posted 17 days ago


Job description

TO-BH-3 Sr. IT Big Data Developer (Data Architect/Engineer)
Location: Washington, DC (100% On-site)
Client: Federal Reserve Board (Division of Research & Statistics)
Employment Type: Full-Time Contract
Period of Performance: July 27, 2026 - December 31, 2026 (Extension Possible)
Citizenship Requirement: U.S. Citizenship Required
About Diverse Agile Solutions
Diverse Agile Solutions (DAS) is a certified Minority Business Enterprise (MBE) providing innovative IT consulting, cloud, cybersecurity, software engineering, and data analytics solutions to federal, state, and commercial organizations. Our team partners with government agencies to modernize enterprise technology, improve mission outcomes, and deliver exceptional customer service.
At DAS, we invest in talented professionals who thrive on solving complex technical challenges while making a meaningful impact.
Position Overview
Diverse Agile Solutions is seeking a highly skilled Senior IT Big Data Developer (Data Architect/Engineer) to support the Federal Reserve Board's Data Architecture, Technology, and Analytics (DATA) organization within the Division of Research & Statistics.
The DATA team is responsible for transforming how economic research data is collected, managed, integrated, analyzed, and visualized across the organization.
This position is ideal for an experienced Data Architect and Data Engineer who enjoys designing scalable enterprise data platforms, building modern data pipelines, optimizing large-scale data processing systems, and supporting data-driven research initiatives.
The successful candidate will collaborate closely with economists, data scientists, researchers, and software engineers to design next-generation data architecture supporting critical economic policy research.
Key Responsibilities
  • Design and implement scalable enterprise data architectures supporting research and analytics initiatives.
  • Develop, optimize, and maintain enterprise data pipelines and automated ETL/ELT workflows.
  • Design conceptual, logical, and physical data models.
  • Build highly scalable data processing frameworks capable of supporting large datasets.
  • Develop data integration solutions for structured and unstructured data sources.
  • Optimize database performance across enterprise environments.
  • Design enterprise data lake and data warehouse solutions.
  • Implement Change Data Capture (CDC) methodologies.
  • Develop workflow orchestration using tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions.
  • Support migration of data platforms between on-premises and cloud environments.
  • Perform root cause analysis of data quality and business process issues.
  • Collaborate with economists and technical teams to deliver trusted, high-quality data assets.
  • Develop software solutions supporting enterprise data services.
  • Participate in application testing, deployment, and production support.
  • Build and maintain CI/CD pipelines supporting DataOps initiatives.
  • Document architecture, standards, and technical designs.
  • Recommend improvements to enterprise data strategy and governance.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.
  • Minimum 7 years of professional experience in Data Engineering, Data Architecture, or Big Data Development.
  • Advanced experience developing complex SQL solutions.
  • Extensive experience with relational databases including:
    • PostgreSQL
    • Microsoft SQL Server
    • MySQL
  • Advanced programming experience with:
    • Python
    • R
  • Experience designing scalable enterprise data platforms.
  • Experience building automated ETL/ELT pipelines.
  • Experience developing scalable data processing solutions.
  • Experience with GitLab and/or GitHub source control.
  • Experience working in Linux environments.
  • Strong software engineering background including development, testing, and deployment.
  • Excellent written and verbal communication skills.
  • Strong analytical and troubleshooting abilities.
Preferred Qualifications
Experience with one or more of the following technologies is highly desirable:
Data Engineering
  • Apache Airflow
  • Prefect
  • Dagster
  • AWS Step Functions
Cloud Platforms
  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Snowflake
Enterprise Data Technologies
  • Enterprise Data Lakes
  • Data Warehouses
  • CDC (Change Data Capture)
  • DataOps
  • CI/CD Pipelines
Big Data
  • Distributed Computing
  • Large Scale Data Processing
  • High-Volume Data Optimization
Additional Technologies
  • NoSQL Databases
  • Graph Databases
  • Machine Learning
  • Java
  • Scala
  • JavaScript
  • Perl
Domain Experience
  • Time Series Data
  • Forecasting Analytics
  • Economic Research
  • Financial Data
  • Research Organizations
Technical Skills
Programming Languages
  • Python
  • R
  • SQL
  • Java (Preferred)
  • Scala (Preferred)
  • JavaScript (Preferred)
  • Perl (Preferred)

Databases
  • PostgreSQL
  • Microsoft SQL Server
  • MySQL
  • NoSQL
  • Graph Databases

Cloud
  • AWS
  • Microsoft Azure
  • Snowflake

Data Engineering
  • ETL / ELT
  • Apache Airflow
  • Prefect
  • Dagster
  • AWS Step Functions
  • Data Lakes
  • Data Warehouses
  • Change Data Capture (CDC)
  • DataOps
  • CI/CD

Tools
  • GitLab
  • GitHub
  • Linux
Why Join Diverse Agile Solutions?
At DAS, you'll work alongside highly skilled professionals supporting one of the nation's most respected financial institutions. You'll contribute to enterprise-scale modernization initiatives that directly support economic research and national financial policy.
We offer:
  • Challenging, mission-critical projects
  • Collaborative technical teams
  • Opportunities to work with modern cloud and data technologies
  • Professional growth and career development
  • Competitive compensation
Work Location
On-site
Federal Reserve Board
Washington, DC
Equal Opportunity Employer
Diverse Agile Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other status protected by applicable law.
BreezyHR Knockout Questions
  1. Are you a U.S. Citizen?
  2. Are you able to work 100% on-site in Washington, DC?
  3. Do you have at least 7 years of experience in Data Engineering or Data Architecture?
  4. How many years of professional Python experience do you have?
  5. How many years of advanced SQL development experience do you have?
  6. Have you designed enterprise ETL/ELT data pipelines?
  7. Which cloud platforms have you used professionally? (AWS, Azure, Snowflake)
  8. Have you worked with Apache Airflow, Prefect, Dagster, or AWS Step Functions?
  9. Have you designed enterprise data warehouse or data lake solutions?
  10. Do you have experience supporting research, economic, or financial data environments?
  11. Have you worked with PostgreSQL, SQL Server, and MySQL?
  12. What is your earliest available start date?