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Databricks Data Engineer Jobs in Ashburn, VA (NOW HIRING)

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$90K - $100K/yr

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$90K - $100K/yr

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

Karsun Solutions, LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Databricks AI Solutions: Design, build, and maintain scalable data pipelines and workflows using ... AI/Data Engineering: 5+ years of proven experience building large-scale data platforms, with at ...

Karsun Solutions LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Databricks AI Solutions: Design, build, and maintain scalable data pipelines and workflows using ... AI/Data Engineering: 5+ years of proven experience building large-scale data platforms, with at ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

Contributions We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

Contributions We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking ...

540

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

You will design, build, and maintain Databricks-based data pipelines and lakehouse capabilities ... Working with software engineers, AI/ML engineers, cybersecurity teams, and mission stakeholders ...

540

Data Engineer

Arlington, VA

$131K - $158K/yr

You will design, build, and maintain Databricks-based data pipelines and lakehouse capabilities ... Working with software engineers, AI/ML engineers, cybersecurity teams, and mission stakeholders ...

540

Data Engineer

Arlington, VA

$131K - $158K/yr

You will design, build, and maintain Databricks-based data pipelines and lakehouse capabilities ... Working with software engineers, AI/ML engineers, cybersecurity teams, and mission stakeholders ...

Analytica

Data Engineer

Bethesda, MD · On-site

$122K - $147K/yr

Analytica is seeking Data Engineers across multiple experience levels-from junior to senior-to join ... Design, build, and maintain scalable data pipelines and data architectures using Databricks and ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

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All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Ashburn, VA

Databricks Data Engineer information

See Ashburn, VA salary details

$45.5K

$132.6K

$181.5K

How much do databricks data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for databricks data engineer in Ashburn, VA is $132,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $140,600.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

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

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

What are popular job titles related to Databricks Data Engineer jobs in Ashburn, VA?

For Databricks Data Engineer jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Databricks Data Engineer jobs in Ashburn, VA look for?

The top searched job categories for Databricks Data Engineer jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Databricks Data Engineer jobs?

Cities near Ashburn, VA with the most Databricks Data Engineer job openings:

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Ashburn, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $132,649 per year, or $63.8 per hour.

Data Engineer - AWS/Databricks

Acuity INC

Reston, VA • On-site, Remote

$90K - $100K/yr

Other

Re-posted 15 days ago

Job description

Overview
Acuity Inc. is seeking a highly skilled Data Engineer to join our Engineering Team, helping drive the design and delivery of AWS cloud-scale data platforms for federal clients. This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise data modernization.
Why Acuity?
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.
Responsibilities
  • Build and maintain scalable PySpark-based data pipelines in Databricks notebooks to support ingestion, transformation, and enrichment of structured and semi-structured data.
  • Design and implement Delta Lake tables optimized for ACID compliance, partition pruning, schema enforcement, and query performance across large datasets.
  • Develop ETL and ELT workflows that integrate multiple source systems into a centralized, query-optimized data warehouse architecture.
  • Leverage Spark SQL and DataFrame APIs to implement business rules, dimensional joins, and aggregation logic aligned to warehouse modeling best practices.
  • Collaborate with data architects and engineers to implement cloud-native data solutions on AWS using S3, Glue, RDS, and IAM for secure, scalable storage and access control.
  • Optimize pipeline performance through intelligent partitioning, caching, broadcast joins, and adaptive query tuning.
  • Deploy and version data engineering assets using Git-integrated development workflows and automate deployment with CI/CD tools such as GitLab or Jenkins.
  • Monitor pipeline health, job execution, and cluster utilization using native Databricks tools and AWS CloudWatch, identifying bottlenecks and optimizing cost-performance tradeoffs.
  • Conduct technical discovery and mapping of legacy source systems, identifying required transformations and designing end-to-end data flows.
  • Implement governance practices including metadata tagging, data quality validation, audit logging, and lineage tracking using platform-native features and custom logic.
  • Support ad hoc data access requests, develop reusable data assets, and maintain shared notebooks that meet operational reporting and analytics needs across teams.

Qualifications
  • 2+ years of experience in data engineering and Agile analytics
  • 2+ years of experience creating software for retrieving, parsing and processing structured and unstructured data
  • 1 to 2 years of experience building scalable ETL and ELT workflows for reporting and analytics
  • 1 or more years experience building enterprise data engineering solutions in the cloud, with preferred experience with cloud native technologies from AWS and Databricks
  • Experience with data quality, validation frameworks, and storage optimization strategies
  • BA or BS degree

Clearance Requirement:
  • Must be US Citizen with an ability to obtain and maintain US 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 committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity, or gender expression), national origin, age, disability, protected veteran status, genetic information, or any other status protected by applicable law.
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.
Min
USD $90,000.00/Yr.
Max
USD $100,000.00/Yr.
Salary Range
The salary range for this position represents Acuity's good faith estimate of the compensation for this job title at the time of posting. Final compensation will be determined based on factors including, but not limited to, the candidate's qualifications, experience, education, certifications, skills, geographic location, contract requirements, applicable labor categories, and, where applicable, contract award and funding.

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