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Professional Data Engineer Jobs in Springfield, VA

Data Engineer (BigQuery)

Bethesda, MD ยท On-site

$122K - $147K/yr

Google Cloud Professional Data Engineer certification. * AWS Certified Data Analytics Specialty or Azure Data Engineer Associate. * Security+ or equivalent certification. * Experience with streaming ...

Data Engineer

Arlington, VA ยท On-site

$93K - $176K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar As required by local ...

Data Engineer (BigQuery)

Washington, DC ยท On-site

$125 - $150/hr

Google Cloud Professional Data Engineer certification. * AWS Certified Data Analytics Specialty or Azure Data Engineer Associate. * Security+ or equivalent certification. * Experience with streaming ...

Data Engineer (BigQuery)

Washington, DC ยท On-site

$129K - $155K/yr

Google Cloud Professional Data Engineer certification. * AWS Certified Data Analytics Specialty or Azure Data Engineer Associate. * Security+ or equivalent certification. * Experience with streaming ...

Data Engineer (BigQuery)

Bethesda, MD ยท On-site

$125 - $150/hr

Google Cloud Professional Data Engineer certification. * AWS Certified Data Analytics Specialty or Azure Data Engineer Associate. * Security+ or equivalent certification. * Experience with streaming ...

Jr Data Engineer

Chantilly, VA

$117K - $140K/yr

Approximately 4-8 years of professional data engineering, software engineering, or related experience * Demonstrated experience designing and maintaining ETL processes and enterprise data pipelines

Enterprise Data Architect

Mclean, VA ยท Remote

$135K - $165K/yr

Google Professional Data Engineer * Databricks Data Engineer Professional * TOGAF, DAMA CDMP, or enterprise architecture certifications About steampunk Steampunk relies on several factors to ...

Enterprise Data Architect

Mclean, VA ยท On-site

$135K - $165K/yr

Google Professional Data Engineer * Databricks Data Engineer Professional * TOGAF, DAMA CDMP, or enterprise architecture certifications About steampunk Steampunk relies on several factors to ...

Data Engineer

Herndon, VA ยท On-site

$150 - $200/hr

We provide professional and leadership development to complement our self-motivated domain experts ... You. Data Engineering Subject Matter Expert (SME) Platinum Technologies is seeking a Data ...

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

We provide professional and leadership development to complement our self-motivated domain experts ... The Data Engineering Subject Matter Expert serves as the senior technical authority for developing ...

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

We provide professional and leadership development to complement our self-motivated domain experts ... The Data Engineering Subject Matter Expert serves as the senior technical authority for developing ...

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

We provide professional and leadership development to complement our self-motivated domain experts ... The Data Engineering Subject Matter Expert serves as the senior technical authority for developing ...

Data Engineer

Alexandria, VA ยท Hybrid

$122K - $147K/yr

Data Engineer Professionals typically cover Workforce Data Strategy Functional Area / Swim Lane / Category Disciplines and serve as Senior specialist or technical lead scope requiring independent ...

Showing results 21-40

Professional Data Engineer information

See Springfield, VA salary details

$46.5K

$135.5K

$185.4K

How much do professional data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for professional data engineer in Springfield, VA is $135,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $143,600.00 per year, depending on experience, location, and employer.

What is the difference between Professional Data Engineer vs Data Scientist?

AspectProfessional Data EngineerData Scientist
Required CredentialsCertifications like Google Cloud Professional Data Engineer, relevant degrees in computer science or data engineeringDegrees in statistics, data science, or related fields; certifications like Certified Data Scientist
Work EnvironmentDesigning data pipelines, managing data infrastructure, ensuring data qualityAnalyzing data, building models, deriving insights from data
Employer & Industry UsageTech companies, data-driven organizations focusing on data infrastructureResearch institutions, analytics firms, companies focusing on predictive modeling

The Professional Data Engineer primarily focuses on building and maintaining data infrastructure, ensuring data flows efficiently within organizations. In contrast, Data Scientists analyze data to extract insights and develop predictive models. Both roles often collaborate but serve different functions within data teams.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large-scale data infrastructure, building data pipelines, and supporting data analytics. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to handle growing data workloads, making this a stable and growing career field.

What is a professional data engineer?

A professional data engineer designs, builds, and maintains data pipelines and infrastructure to enable data collection, storage, and analysis. They often work with tools like SQL, Apache Spark, and cloud platforms, and require strong programming and data management skills to support data-driven decision-making.

What are the most commonly searched types of Data Engineer jobs in Springfield, VA?

The most popular types of Data Engineer jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Professional Data Engineer jobs?

Cities near Springfield, VA with the most Professional Data Engineer job openings:

Data Engineer (BigQuery)

Bethesda, MD โ€ข On-site

Northramp LLC
IT Servicesย โ€ขย 11 - 50 employees

$122K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Opportunity Overviewย 

Northrampย is seeking a Data Engineer to join the team supporting a mission-critical effort toย consolidate, modernize, andย operateย our client'sย enterprise cloud services across IaaS, PaaS, and SaaS environments.

You will design andย operateย cloud-native data pipelines, warehousing, and integration layers that make the client's data accessible, reliable, and analytics-ready. The role centers on modern cloud data platforms - withย BigQueryย as the primary analytical data warehouse - supportingย theย client'sย enterprise reporting, AI/ML, and program management data needs.ย 

This role is part of Northramp's integrated delivery model, where engineers and advisors work as one team to bring sound judgment, disciplined execution, and deep federal experience to high-stakes modernization programs.ย ย 

Location & Work Arrangementย 

Hybrid, based in the Washington, DC metro area. On-site presence at designated client locations is expected on a cadence aligned to program needs. Remote work is supported around mission and security requirements. This role is not open to candidates outside the DC, Maryland, and Virginia region.

The Ideal Candidateย 

You build data pipelines that run reliably in production - not just demos. You've designed schemas and ingestion pipelines against messy, real-world source systems, you understand data quality as an engineering discipline, and you can work comfortably within the access controls and compliance requirements of a federal environment.ย 

Key Responsibilitiesย 

  • Design, build, and maintain scalable ELT/ETL data pipelines ingesting structured and semi-structured data from cloud services, APIs, databases, and file sources into BigQuery and other cloud data warehouses.ย 
  • Develop and manage data models, schemas, and transformation logic using dbt (data build tool), SQL, and Python; enforce testing and documentation standards across the data layer.ย 
  • Implement and operate pipeline orchestration using Apache Airflow (Cloud Composer), Prefect, or equivalent; monitor pipeline health, SLA adherence, and failure alerting.ย 
  • Integrate data platforms with upstream source systems including cloud-native services (AWS RDS, Azure SQL, GCS/S3), operational databases, and third-party SaaS APIs.ย 
  • Implement data access controls, column-level security, and encryption within BigQuery and related cloud storage services aligned to FedRAMP High and FISMA requirements.ย 
  • Build and maintain data cataloging and lineage metadata practices to support data governance and auditability requirements.ย 
  • Collaborate with Data Scientists and analysts to ensure data availability, schema stability, and performance of analytical workloads.ย 
  • Develop and maintain infrastructure-as-code for data platform components using Terraform; participate in CI/CD pipeline integration for data assets.ย 
  • Support data quality frameworks - profiling, anomaly detection, and SLA monitoring - across production data pipelines.ย 
  • Contribute to ATO documentation and data security controls including data classification, retention policies, and audit logging.ย 

Requirements

Required Qualificationsย 

  • 3 to 6 years of progressive, hands-on experience in data engineering with a focus on cloud data platforms and pipeline development.ย 
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a related field. Relevant experience may substitute.ย 
  • Strong SQL skills and hands-on experience with BigQuery as an analytical data warehouse; familiarity with BigQuery optimization (partitioning, clustering, materialized views).ย 
  • Proficiency in Python for data engineering tasks (ingestion, transformation, pipeline scripting).ย 
  • Experience with dbt for data transformation and modeling in cloud warehouse environments.ย 
  • Hands-on experience with pipeline orchestration tools: Apache Airflow, Cloud Composer, or equivalent.ย 
  • Working knowledge of cloud storage and data services across at least one major cloud provider (GCS, S3, Azure Blob Storage, Cloud Spanner, Redshift, or equivalent).ย 
  • Understanding of data modeling principles (dimensional modeling, data vault, or similar) and schema design for analytical workloads.ย 
  • Familiarity with data governance concepts - cataloging, lineage, access controls, retention - and their application in regulated environments.ย 
  • Knowledge of FedRAMP, FISMA, and NIST 800-53 data security requirements.ย 
  • U.S. Citizenship and the ability to obtain and maintain a DHS suitability / Public Trust clearance.ย 

Desired Qualificationsย 

  • Google Cloud Professional Data Engineer certification.ย 
  • AWS Certified Data Analytics Specialty or Azure Data Engineer Associate.ย 
  • Security+ or equivalent certification.ย 
  • Experience with streaming data platforms (Pub/Sub, Kafka, Kinesis).ย 
  • DHS, or other federal data engineering experience.ย 
  • Active Public Trust or higher clearance.ย 

Clearanceย 

DHS suitability and a Public Trust background investigation are required for this role. Active Public Trust or higher clearance is preferred. Selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to controlled or classified information.ย 

About Northrampย 

Northramp is a federal consulting firm that helps agencies modernize and operate mission-critical systems with sound judgment, disciplined execution, and deep federal experience. We specialize in high-stakes digital transformation in highly regulated environments where failure is not an option. Our integrated delivery model brings engineers and advisors together as one team, combining technical depth with an operator's mindset to move organizations from strategy to execution with confidence.ย 

We hold high standards because our clients' missions demand it, and we support our people in meeting them. Northramp is where you are challenged, trusted, and supported - a place for people who take pride in their work, value clarity and follow-through, and want to make a meaningful impact through technology.ย 

Equal Opportunityย 

Northramp is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. Northramp participates in E-Verify.ย 

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
  • Wellness Resources
  • Employee Bonus Programs