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Data Engineering Jobs in Reston, VA (NOW HIRING)

Data Engineer

Reston, VA

$119K - $143K/yr

Support cloud-based data engineering solutions in AWS , including storage and data service integration * Collaborate with engineers, architects, analysts, and stakeholders to implement technical ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

You will leverage your understanding of data engineering principles, best practices, and technologies to deliver efficient and scalable solutions. Responsibilities: * Design and develop data ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

You will leverage your understanding of data engineering principles, best practices, and technologies to deliver efficient and scalable solutions. Responsibilities: * Design and develop data ...

Data Engineer

Herndon, VA

$117K - $141K/yr

You will leverage your understanding of data engineering principles, best practices, and technologies to deliver efficient and scalable solutions. Responsibilities: * Design and develop data ...

DATA ENGINEER

Manhattan, NY

$126K - $151K/yr

Maintain technical documentation Required Qualifications * 2-3 years of experience in data engineering or analytics * Strong SQL skills * Basic Python knowledge * Understanding of ETL concepts

DATA ENGINEER

Washington, DC

$129K - $155K/yr

Maintain technical documentation Required Qualifications * 2 3 years of experience in data engineering or analytics * Strong SQL skills * Basic Python knowledge * Understanding of ETL concepts

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ...

Data Engineer

Arlington, VA

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

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Data Engineering information

See Reston, VA salary details

$47.9K

$171.7K

$253.3K

How much do data engineering jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data engineering in Reston, VA is $171,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,900.00 and $176,900.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Reston, VA? The most popular types of Data Engineering jobs in Reston, VA are:
What are popular job titles related to Data Engineering jobs in Reston, VA? For Data Engineering jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Reston, VA look for? The top searched job categories for Data Engineering jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Engineering jobs? Cities near Reston, VA with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Reston, VA as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $171,677 per year, or $82.5 per hour.

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 10 days ago


Job description

Acuity, Inc. seeks a Data Engineer to design, develop, and maintain scalable data pipelines and integration solutions supporting a federal client. This role builds and optimizes ETL/ELT workflows across the data warehouse, data lake, and analytics platform environment, with strong emphasis on Databricks, Apache Spark, and AWS. 

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 engineers, architects, and analysts to implement modern data engineering practices across cloud-based data platforms.

Why Acuity? 

We’re building more than careers—we’re building a place people genuinely love to work. At Acuity, you’ll get:

• Strong work-life balance and a people-first culture
• Competitive compensation + Health/Dental/Vision coverage
• 401(k) with company match
• Up to $3,000 annually for training and certifications and up to $3,000 for degree seeking programs—so you can keep building the career you want

Recognized as a Best Places to Work (Washington Business Journal, 8+ years)
Named a Top Workplace by The Washington Post (2022–2025)

Ready to grow with a team that invests in you? Learn more: www.myacuity.com


Are you ready to use your expertise in the areas of IT Modernization, Data Enablement, and Hyperautomation to make a real difference? Join Acuity, Inc., a technology consulting firm that supports federal agencies. We combine industry partnerships and long-term federal experience with innovative technical leadership to support our customers critical missions.
  • Design, build, and maintain scalable data pipelines, ETL/ELT processes, and integration workflows  
  • Develop transformations and curated datasets using Databricks, Apache Spark, and SQL  
  • Support ingestion, processing, and delivery of structured, semi-structured, and unstructured data  
  • Build and optimize workflows across data lake, data warehouse, and analytics platforms  
  • Implement data quality checks, validation rules, and operational monitoring across pipelines and datasets  
  • Improve performance, reliability, scalability, and security of data processing solutions  
  • Support cloud-based data engineering solutions in AWS, including storage and data service integration  
  • Collaborate with engineers, architects, analysts, and stakeholders to implement technical requirements  
  • Support Big Data, Advanced Analytics, and Machine Learning use cases from a data engineering perspective  
  • Maintain documentation for pipelines, transformations, data flows, and operational procedures  
  • Support code versioning, CI/CD, and controlled deployment of data engineering assets  
  • Troubleshoot pipeline, data, and platform issues across development, test, and production environments  

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent relevant experience  
  • 5+ years of experience developing big data or data engineering solutions in an Agile environment  
  • Hands-on experience with Databricks, including Delta Lake or lakehouse-based data engineering  
  • Experience developing and deploying ETL/ELT pipelines using Apache Spark  
  • Strong SQL skills, including complex queries, joins, aggregations, and window functions  
  • Experience with AWS and cloud-based data platform services  
  • Experience with Python, PySpark, SQL, or similar data engineering languages and frameworks  
  • Experience with code versioning, CI/CD, and configuration management concepts  
  • Experience working in Agile delivery environments, including Scrum  
  • Ability to troubleshoot and optimize data pipelines for quality, performance, and reliability  

Preferred Qualifications 

  • Experience with Delta Lake design and optimization  
  • Experience integrating Databricks with Git-based workflows in controlled network environments  
  • Experience with data quality, lineage, logging, and metadata practices  
  • Experience supporting advanced analytics or machine learning data pipelines  
  • Experience tuning performance in distributed data processing environments  
  •  

Clearance Requirement 

  • Must be a U.S. Citizen with the ability to obtain and maintain U.S. suitability  

About Acuity

At Acuity, your work matters—and so does your experience. We’re a management and technology consulting firm supporting critical federal missions, where you’ll have the opportunity to solve meaningful challenges, work alongside high-performing teams, and make a real impact from day one.


Why You’ll Love Working Here:

Grow Your Career, Your Way
We invest in you with personalized development plans, mentorship, and up to $3,000 annually for training and certifications and up to $3,000 for degree seeking programs—so you can keep building the career you want.

Be Part of Something Innovative
You’ll work on cutting-edge solutions that support important government missions, in an environment that encourages new ideas and continuous improvement.

Thrive in a People-First Culture
Collaboration, respect, and support aren’t just values—they’re how we operate. Your voice is heard, your contributions are recognized, and your success is shared.

Feel Valued and Rewarded
We offer competitive compensation, comprehensive benefits, and a strong focus on work-life balance so you can perform at your best—at work and at home.

Join an Award-Winning Team
Our employees consistently rank us among the best—earning honors like Best Places to Work (Washington Business Journal, 9+ years) and Top Workplaces (The Washington Post, 2022–2025).

Bring Your Whole Self to Work
We’re committed to building a diverse, inclusive environment where everyone feels respected, supported, and empowered to succeed.


Make Your Impact

Join Acuity and be part of a team where your ideas are valued, your growth is supported, and your work drives meaningful outcomes.

Learn more: www.myacuity.com


Acuity is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Recruiting Scams and Fraud

Acuity Inc. has been made aware of fraudulent job postings and individuals impersonating company recruiters. These scams may include fake job offers, requests for sensitive personal information, or demands for payment.

Please note:

  • Acuity never asks candidates to pay for job applications, equipment, or training.
  • All official communications will come from an @myacuity.com email address.
  • If you are unsure about a job posting or recruiter, please verify the opportunity on our Careers page.

If you believe you have been targeted by a scam or have concerns about the authenticity of a job listing claiming to represent Acuity Inc., please contact us at careers@myacuity.com. Protecting your security and trust is important to us.