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Databricks Data Engineer Jobs in Washington (NOW HIRING)

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data ...

Data Engineer - Databricks

Mclean, VA · On-site

$110K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Key must have skill sets - Python, SQL, Databricks, AWS Data Services * Support an Agile software ...

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 ...

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 ...

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 Engineer (Databricks Experience)

Mclean, VA · On-site

$116K - $139K/yr

Responsibilities : • Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologies. • DevOps Integration: Implement ...

Data Engineer - Databricks

Washington, DC · On-site

$129K - $155K/yr

Apply Databricks development standards and data engineering best practices. * Administer and monitor enterprise MariaDB and SQL Server environments. * Design databases, schemas, tables, views, stored ...

We are looking for a seasoned Senior Data Engineer to work with our team and clients to develop enterprise-grade data platforms, data lakes and lakehouses, services, and pipelines using Databricks.

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 ...

Apply hands-on expertise with Databricks, SQL, PySpark/Python, and cloud technologies to support data engineering solutions. * Support an Agile software development lifecycle. * Contribute to the ...

Apply hands-on expertise with Databricks, SQL, PySpark/Python, and cloud technologies to support data engineering solutions. * Support an Agile software development lifecycle. * Contribute to the ...

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

Databricks Data Engineer information

See Washington salary details

$50.4K

$146.9K

$201K

How much do databricks data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for databricks data engineer in Washington is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 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 Washington?

The most popular types of Databricks Data Engineer jobs in Washington are:

What are popular job titles related to Databricks Data Engineer jobs in Washington?

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

What job categories do people searching Databricks Data Engineer jobs in Washington look for?

The top searched job categories for Databricks Data Engineer jobs in Washington are:

What cities in Washington are hiring for Databricks Data Engineer jobs?

Cities in Washington with the most Databricks Data Engineer job openings:

Infographic showing various Databricks Data Engineer job openings in Washington as of September 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data Engineer

Washington, DC • Remote

Analytica
51 - 200 employees

$117K - $140K/yr

Full-time

Medical, Retirement

Re-posted 26 days ago


Job description

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. This role works alongside senior engineers and architects to improve data accessibility, platform reliability, and self-service analytics capabilities.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.    

Key Responsibilities:

  • Support ingestion, transformation, and publication of enterprise datasets using standardized and governed data engineering processes.
  • Develop and maintain SQL-based reporting and analytics solutions using Databricks SQL Warehouses.
  • Assist with implementation and administration of Unity Catalog, data lineage, metadata, and data governance controls.
  • Support cloud operations activities including infrastructure automation, logging, monitoring, and platform observability.
  • Implement and maintain CI/CD pipelines using tools such as GitHub Actions, Terraform, and Databricks Asset Bundles.
  • Participate in platform incident response, troubleshooting, and operational support activities.

Required Qualifications:

  • Minimum of 1 years of experience in data engineering, cloud engineering, or platform operations.
  • Experience supporting enterprise data platforms, analytics environments, or cloud-based data solutions.
  • Proficiency in Python, SQL, and data engineering concepts.
  • Experience with Databricks, Apache Spark, PySpark, or similar big data technologies.
  • Experience with AWS cloud services such as S3, IAM, CloudWatch, Glue, Athena, or Redshift.
  • Knowledge of ETL/ELT development and data pipeline design.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • AWS, Databricks, or cloud-related certifications preferred.
  • Ability to obtain or maintain an Active MBI Clearance.

About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small businessthat has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. 

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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