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Professional Data Engineer Jobs in Springfield, VA

Data Engineer - Expert

Chantilly, VA · Hybrid

$165K - $200K/yr

AWS Certified Solutions Architect - Professional, CISSP, or Databricks Certified Professional Data Engineer. * Proven track record architecting data solutions for deployment in air-gapped or high ...

Posted today

Data Engineer - Expert

Chantilly, VA · Hybrid

$165K - $200K/yr

AWS Certified Solutions Architect - Professional, CISSP, or Databricks Certified Professional Data Engineer. * Proven track record architecting data solutions for deployment in air-gapped or high ...

Posted today

Data Engineer

Washington, DC · 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 Senior

Fairfax, VA · On-site

$118K - $141K/yr

Professional certification in cloud data engineering or big data technologies (e.g., AWS Data Analytics, Google Professional Data Engineer, Azure Data Engineer Associate). * Prior experience ...

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Azure Data Engineer Associate or Databricks Certified Professional Data Engineer • Government or highly regulated environment experience (7+ years) Company : The world doesn't have a talent ...

Data Engineer

Washington, DC · 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 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 ...

Cleared Data Engineer

Washington, DC · 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 Security Clearance:

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Azure Data Engineer Associate / Azure Solutions Architect. o AWS Certified Data Analytics - Specialty / Solutions Architect - Professional. o Google Cloud Professional Data Engineer / Architect.

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Azure Data Engineer Associate / Azure Solutions Architect. o AWS Certified Data Analytics - Specialty / Solutions Architect - Professional. o Google Cloud Professional Data Engineer / Architect.

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Showing results 1-20

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 Aug 19, 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:

$129K - $155K/yr

Full-time

Re-posted 13 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services


Job description

The work: 

  • Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. 
  • Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs. 
  • Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. 
  • Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. 
  • Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. 
  • Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem. 
  • Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment. 

Here's what you need: 

  • Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory) 
  • Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) 
  • Experience with Python, SQL, Spark, and PySpark 
  • Experience with data platforms like Databricks, Palantir, and Snowflake 
  • Familiarity with data orchestration and data quality processes 
  • Must be a US Citizen

Bonus points if you have: 

  • Secret clearance or above 
  • Experience working with federal clients 
  • Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi 

  • Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack 
  • Experience with Agile / Scrum

  • Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar 

What Accenture Federal Services employees say

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