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Professional Data Engineer Jobs in Reston, VA (NOW HIRING)

Accenture Federal Services

Cleared Data Engineer

Arlington, VA · On-site

$131.90K - $158.40K/yr

... Professional Data Engineer, IBM Certified Data Engineer, or similar Company : Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the ...

Accenture Federal Services

Cleared Data Engineer

Washington, DC · On-site

$129.20K - $155.10K/yr

... Professional Data Engineer, IBM Certified Data Engineer, or similar Company : Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$93.40K - $176.20K/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 ...

Accenture Federal Services

Data Engineer

Arlington, VA

$93.40K - $176.20K/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 ...

Accenture

Data Engineer

Washington, DC · On-site

$93.40K - $176.20K/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 ...

Saxon Global

GCP Engineer (BigQuery & GCP )

Washington, DC · On-site

$129.60K - $155.70K/yr

GCP Professional Data Engineer Certification is a plus. * Experience with Machine Learning workflows on GCP (Vertex AI, AutoML, TensorFlow on AI Platform) is a plus. * Experience with Kubernetes (GKE ...

Accenture

Cleared Data Engineer

Washington, DC · On-site

$93.40K - $176.20K/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:

Leidos

Senior Data Engineer

Alexandria, VA · On-site

$113.50K - $154.10K/yr

Certifications in data engineering or related technologies (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer). If you're looking for comfort, keep scrolling. At Leidos, we ...

Leidos

Senior Data Engineer

Gaithersburg, MD

$114.50K - $155.60K/yr

Certifications in data engineering or related technologies (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer). If you're looking for comfort, keep scrolling. At Leidos, we ...

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All JobsProfessional Data Engineer JobsProfessional Data Engineer Jobs in Reston, VA

Professional Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do professional data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for professional data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and certifications can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, and leadership responsibilities.

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.

What are the most commonly searched types of Data Engineer jobs in Reston, VA? The most popular types of Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Professional Data Engineer jobs? Cities near Reston, VA with the most Professional Data Engineer job openings:
Professional Data Engineer jobs near you
Data Engineer

Data Engineer

Accenture Federal Services

Washington, DC

$129.70K - $155.70K/yr

Other

Posted 21 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

47th of 424 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 

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