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Databricks Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$119K - $143K/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 ...

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 ...

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 ...

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 ...

Senior Data Engineer (Databricks)

Ashburn, VA · On-site

$68.75 - $92/hr

... data engineering teams. • Stay updated with the latest industry trends and best practices in data architecture, Databricks, cloud data warehouses, AWS and Azure. Qualifications : Required : • ...

Data Engineer

Mclean, VA · On-site

$85K - $141K/yr

Design, develop, and maintain end-to-end data pipelines using Databricks (Spark, PySpark, SQL) to ... Engineer and optimize data models, Delta tables, and curated datasets to support financial ...

Data Engineer

Mclean, VA · On-site

$85K - $141K/yr

Design, develop, and maintain end-to-end data pipelines using Databricks (Spark, PySpark, SQL) to ... Engineer and optimize data models, Delta tables, and curated datasets to support financial ...

Data Engineer

Norfolk, VA

$110K - $133K/yr

Data Engineer The Data Engineer will design, build, and maintain batch ETL pipelines on a modern Databricks Lakehouse platform, delivering high-quality data solutions that support critical banking ...

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

... Data Engineering with experience in the following: * * Experience designing and building data pipelines and data products on modern lakehouse platforms (e.g. Databricks, Apache Spark), including ...

... Data Engineering with experience in the following: * * Experience designing and building data pipelines and data products on modern lakehouse platforms (e.g. Databricks, Apache Spark), including ...

... Data Engineering with experience in the following: * * Experience designing and building data pipelines and data products on modern lakehouse platforms (e.g. Databricks, Apache Spark), including ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

... using Databricks, Apache Spark, and SQL • Support ingestion, processing, and delivery of ... based data engineering solutions in AWS, including storage and data service integration • ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

The Data Engineer delivers reliable, secure, and high-performing data solutions that support ... Develop transformations and curated datasets using Databricks, Apache Spark, and SQL * Support ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

The Data Engineer delivers reliable, secure, and high-performing data solutions that support ... Develop transformations and curated datasets using Databricks, Apache Spark, and SQL * Support ...

Data Engineer

Norfolk, VA

$110K - $133K/yr

Description The Data Engineer will design, build, and maintain batch ETL pipelines on a modern Databricks Lakehouse platform, delivering high-quality data solutions that support critical banking ...

Data Engineer

Norfolk, VA · On-site

$110K - $133K/yr

The Data Engineer will design, build, and maintain batch ETL pipelines on a modern Databricks Lakehouse platform, delivering high-quality data solutions that support critical banking functions. You ...

Azure Data Engineer

Fairfax, VA · On-site

$113K - $136K/yr

Azure Data Factory, Synapse Analytics, Databricks, Data Lake, and Power BI * SQL and NoSQL database ... Data Governance, Data Engineering, and Data Science workflows * Machine Learning and MLOps best ...

Data Engineer

Norfolk, VA

$110K - $133K/yr

The Data Engineer will design, build, and maintain batch ETL pipelines on a modern Databricks Lakehouse platform, delivering high-quality data solutions that support critical banking functions. You ...

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Showing results 1-20

Databricks Data Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do databricks data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for databricks data engineer in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

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 typical day look like for a Databricks Data Engineer?

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 in the Databricks Data Engineer position, and why are they important?

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.

What are the most commonly searched types of Databricks Data Engineer jobs in Virginia? The most popular types of Databricks Data Engineer jobs in Virginia are:
What are popular job titles related to Databricks Data Engineer jobs in Virginia? For Databricks Data Engineer jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Databricks Data Engineer jobs? Cities in Virginia with the most Databricks Data Engineer job openings:
Infographic showing various Databricks Data Engineer job openings in Virginia as of June 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.

Data Engineer - AWS/Databricks

Acuity INC

Reston, VA • On-site, Remote

$119K - $143K/yr

Other

Posted 19 hours 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.
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. 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.
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