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Databricks Engineer Jobs in Springfield, VA (NOW HIRING)

ECS is seeking a Senior Databricks Migration Engineer to work onsite for the US Postal Services' Inspector General's Office (OIG) at our Arlington, VA office. This role leads technical data migration ...

Databricks Data Engineer

Washington, DC · On-site

$129K - $156K/yr

  • Medical

  • Retirement

  • PTO

The Data Engineer will develop automated pipelines for a variety of data types and datasets. Using Databricks, which was named to both the Magic Quadrant for Cloud Database Management Systems and the ...

Senior Databricks Migration Engineer

Arlington, VA

$119K - $164K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

MDW Associates is seeking a Senior Databricks Migration Engineer to support the US Postal Services' Inspector General's Office (OIG). This role leads technical data migration efforts from legacy SQL ...

Senior Databricks Migration Engineer

Arlington, VA · On-site

$130K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

MDW Associates is seeking a Senior Databricks Migration Engineer to support the US Postal Services' Inspector General's Office (OIG). This role leads technical data migration efforts from legacy SQL ...

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

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

P-1366 About Databricks At Databricks, we are passionate about enabling data teams to solve the ... Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical ...

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 for more than ...

Overview 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 for ...

Overview 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 for ...

Overview 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 for ...

Sr. Databricks Migration Engineer

Washington, DC · On-site

$145K - $165K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Dexian Government Solutions is recruiting for a Sr. Databricks Migration Engineer to support our contract at the USPSOIG in Arlington, Virginia. Location: 100% Fulltime Remote Position Description

Sr. Databricks Migration Engineer

Washington, DC · Remote

$145K - $165K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Dexian Government Solutions is recruiting for a Sr. Databricks Migration Engineer to support our contract at the USPSOIG in Arlington, Virginia.Location: 100% Fulltime RemotePosition Description The ...

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 for more than ...

Showing results 41-60

Databricks Engineer information

See Springfield, VA salary details

$62.1K

$116.6K

$212K

How much do databricks engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for databricks engineer in Springfield, VA is $116,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $138,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.

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

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

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

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

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

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

Infographic showing various Databricks Engineer job openings in Springfield, VA as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $116,602 per year, or $56.1 per hour.

Senior Databricks Migration Engineer

ECS

Arlington, VA • On-site

$130K - $158K/yr

Full-time

Re-posted 17 hours ago


Job description

ECS is seeking a Senior Databricks Migration Engineer to work onsite for the US Postal Services' Inspector General's Office (OIG) at our Arlington, VA office. This role leads technical data migration efforts from legacy SQL systems, warehouses and servers to Databricks Lakehouse (Delta Lake), ensuring best practice Lakehouse design. This also includes building large data structures and dashboards and reporting on data migration projects.
Responsibilities include:
  • Lead the technical migration from legacy SQL Server stored procedures and ADF pipelines to Databricks Lakehouse (Delta Lake), ensuring best practice Lakehouse design.
  • Translate traditional relational data warehousing paradigms into scalable, distributed Lakehouse frameworks (Bronze, Silver, Gold).
  • Design robust, reusable ETL/ELT frameworks using PySpark, Delta Live Tables (DLT), and Databricks Workflows.
  • Architect and refine the Gold Layer (dimensional models, star schemas) specifically to maximize Power BI performance.
  • Optimize Databricks SQL Warehouses to support high-concurrency, low-latency Power BI queries (DirectQuery and Import modes).
  • Implement advanced optimization techniques, including Z-Ordering, data skipping, liquid clustering, and materialized views.
  • Define and enforce governance standards for cluster sizing, auto-scaling policies, and serverless SQL compute to balance performance with cost.
  • Implement proactive monitoring dashboards to track Databricks Unit (DBU) consumption and identify cost-saving opportunities.
  • Establish best practices for partition strategies and file size management within Delta Lake.
  • Design and implement a robust data security model using Unity Catalog for centralized governance.
  • Enforce row-level and column-level security policies to ensure compliant data access for Power BI consumers and internal analysts.
  • Align the Lakehouse security architecture with existing enterprise Azure Active Directory (Microsoft Entra ID) and RBAC standards.
  • Act as the primary technical lead, conducting dedicated pair-programming sessions, workshops, and code reviews to transition the team from SQL-centric to Spark-centric thinking.
  • Create comprehensive technical documentation, including architecture diagrams, design patterns, and optimization playbooks.
  • Build a foundational knowledge transfer framework to ensure the internal team is fully self-sufficient post-migration.
  • Communicate effectively verbally and in written form to both technical and non-technical audience
  • Work in an organized fashion, completing tasks timely while paying close attention to details

Please Note: This position is contingent upon additional funding and requires a Public Trust background investigation. This entails an in-depth background check & either US Citizenship or Permanent Resident (Green Card) status.
  • Bachelor's degree or higher from an accredited college or university in Computer Science, Engineering, or a related technical field
  • 5+ years' experience in data engineering, data system development or related roles
  • 5+ years' experience with cloud platforms (e.g. Azure, AWS, GCP)
  • 1+ year leading complex, cross-functional data projects and technical teams
  • Experience with Databricks Lakehouse, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
  • Experience with data warehousing, dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark

Note: This position requires working onsite 4 days a week at out USPS customer site in Arlington, VA.
Salary Range: $130,000 - $158,000 annually
General Description of Benefits