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

Guidehouse

Databricks Engineer

Arlington, VA · On-site

Data Engineering & Architecture Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking a Databricks Engineer to join our AI and ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$120K - $150K/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

$120K - $150K/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 ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site

$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 ...

Revature

Senior Data Engineer - Databricks

Washington, DC · On-site

$120K - $163K/yr

Revature is hiring experienced data engineers to join a large-scale Databricks platform build supporting federal government programs in the Washington, DC area. Our client is one of the world ...

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 · 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 ...

Nyla Technology Solutions

Data Engineer

Arlington, VA · On-site

$110K - $160K/yr

In this role, you will engineer automated big-data extraction and ingestion pipelines using PySpark and Databricks Unity Catalog, support delivery in Enterprise Platform Data Observability, and solve ...

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

Databricks Data Engineer information

See Arlington, VA salary details

$51.2K

$149.2K

$204.2K

How much do databricks data engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for databricks data engineer in Arlington, VA is $149,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $158,200.00 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 Arlington, VA?

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

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

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

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

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

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

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

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Arlington, VA as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 85% In-person, 2% Hybrid, and 13% Remote job distribution, with an average salary of $149,233 per year, or $71.7 per hour.

Data Engineer (Databricks) with Security Clearance

Washington, DC • On-site

Big Impact Tech
See more jobs at Big Impact Techexternal

$129K - $155K/yr

Other

Re-posted 7 days ago

Job description

Data Engineer (Databricks) Location: Hybrid (Washington D.C)
Clearance: Active Secret Employment Type: Full Time Company Description
Big Impact Tech (BIT) is a Small Business providing IT and business management consulting to federal and commercial clients. We deliver mission-focused solutions in data, cloud, cybersecurity, and program management. Position Overview We are seeking a skilled Data Engineer with strong Databricks expertise to support Coast Guard data modernization, analytics, and cloud transformation initiatives. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, data lakehouse solutions, and cloud-based data platforms that enable efficient data integration, storage, processing, and analytics. The candidate will work closely with data architects, analysts, developers, and business stakeholders to deliver reliable, secure, and high-performing data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks and cloud-native technologies.
Build and optimize ETL/ELT processes for structured, semi-structured, and unstructured data.
Develop and manage data ingestion frameworks from various source systems, APIs, databases, and files.
Implement and maintain Delta Lake architecture and Lakehouse solutions.
Develop PySpark, Spark SQL, and SQL-based transformations for large-scale data processing.
Support data warehousing, data lakes, and enterprise analytics initiatives.
Monitor and optimize data pipeline performance, reliability, and scalability.
Ensure data quality, governance, lineage, and security across data platforms.
Collaborate with business stakeholders and technical teams to understand requirements and deliver data solutions.
Implement CI/CD practices and automated deployment processes for data engineering solutions.
Troubleshoot and resolve production issues related to data ingestion, transformation, and reporting.
Create and maintain technical documentation, data dictionaries, and architecture diagrams. Required Qualifications Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
5+ years of experience in Data Engineering.
3+ years of hands-on experience with Databricks.
Strong experience with PySpark, Spark SQL, and SQL.
Experience building large-scale data pipelines and ETL/ELT solutions.
Experience with cloud platforms such as Azure, AWS, or Google Cloud.
Strong understanding of data modeling, data warehousing, and Lakehouse architectures.
Experience working with relational and NoSQL databases. Preferred Qualifications Experience supporting Coast Guard or other government-related programs.
Experience with Azure Databricks, Azure Data Factory, Microsoft Fabric, Synapse Analytics, or Snowflake.
Knowledge of Delta Lake, Unity Catalog, and Databricks Workflows.
Experience with real-time and streaming data solutions.
Familiarity with DevOps practices, Git, CI/CD pipelines, and Infrastructure as Code.
Experience with Power BI, Qlik, or Tableau reporting environments.
Relevant Databricks or cloud certifications preferred. Technical Skills Databricks
PySpark
Apache Spark
Spark SQL
SQL
Delta Lake
Data Lakehouse Architecture
Azure Databricks
Azure Data Factory
Microsoft Fabric
Snowflake
Data Warehousing
ETL/ELT Development
Data Modeling
Git
CI/CD
Cloud Platforms (Azure, AWS, GCP)

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