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Remote Databricks Data Engineer Jobs in Washington

Data Engineer

Fairfax, VA · On-site +1

$130K - $155K/yr

The ideal candidate brings a deep expertise in SQL, Spark, Databricks, Azure cloud analytics, and ... The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245235 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with Databricks * Experience with data warehousing using AWS Redshift, MySQL, or ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245362 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with Databricks * Experience with data warehousing using AWS Redshift, MySQL, or ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242942 Location: Arlington,VA,US Share job via: Share Data ... Experience with Databricks, including Delta Lake, Spark, notebooks, and workflows or jobs, and ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0242536 Location: Arlington,VA,US Share job via: Share Data ... Experience with Databricks, including Delta Lake, Spark, notebooks, and workflows or jobs

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... Experience with Databricks, Structured Streaming, Delta Lake concepts, and Delta Live Tables ...

Data Engineer

Fairfax, VA · On-site +1

$95K - $115K/yr

The successful candidate will bring expertise in PySpark, Databricks, AWS, Kafka/streaming ... Collaborate with data scientists, analysts, DevOps engineers, and client teams to deliver ...

Data Engineer

Fairfax, VA · On-site +1

$95K - $115K/yr

The successful candidate will bring expertise in PySpark, Databricks, AWS, Kafka/streaming ... Remote

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

Location:Fully Remote, United States Position Type: Full-Time Clearance: U.S. citizenship is ... Databricks environment, and familiarity with Google Cloud Platform. Success in this role requires ...

Data Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245506 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Databricks, Hadoop, Hive, AWS EMR, or Kafka * 5+ years of experience working on real-time data and ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241347 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with Pyspark and Spark ecosystems such as Databricks and EMR * Experience evaluating ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0241523 Location: Arlington,VA,US Share job via: Share Data ... Databricks, SQL Data Warehouse, or machine learning service * Experience creating software for ...

Showing results 21-40

Remote Databricks Data Engineer information

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

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 Remote Databricks Data Engineer jobs in Washington?

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

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

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

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

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

Infographic showing various Remote Databricks Data Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

$130K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Position Summary
Prometheus Federal Services (PFS) is a trusted partner of federal health agencies. We are exploring the addition of an experienced Data Engineer to support the Department of Veterans Affairs (VA) programs. The ideal candidate brings a deep expertise in SQL, Spark, Databricks, Azure cloud analytics, and database administration (DBA) best practices, including performance tuning, indexing strategies, and data integrity management. This role will design, optimize, and maintain scalable data pipelines and databases across on-prem and cloud environments to support analytics, reporting, and operational decision-making across VA programs. The Data Engineer will collaborate with developers, data scientists, and program stakeholders to deliver reliable, high-performance data and analytics products while improving data accessibility, quality, and operational efficiency.
Essential Duties and Responsibilities
  • Design, build, deploy, and maintain scalable ETL/ELT pipelines using SQL, Spark, Databricks, and Azure-native tools such as Azure Data Factory, Azure Synapse, and Azure Data Lake.
  • Implement workflow orchestration, scheduling, and monitoring to ensure reliable, automated data delivery.
  • Design, develop, and deliver data quality monitoring and observability tools to track data lineage and manage data integrity across data pipelines
  • Optimize data ingestion, transformation, and storage for performance, cost, and maintainability.
  • Administer and optimize relational databases (e.g., SQL Server, Azure SQL, PostgreSQL), perform database performance tuning, indexing, query optimization, and capacity planning.
  • Implement and maintain database security, access controls, and auditing in alignment with VA security and privacy requirements.
  • Support backup/restore strategies, disaster recovery planning, and high-availability configurations.
  • Monitor database health, troubleshoot issues, and ensure data integrity across environments. Support troubleshooting, root-cause analysis, and continuous improvement of data engineering and DBA processes.
  • Implement automated data quality checks, validation rules, and anomaly detection routines.
  • Develop monitoring dashboards and alerting mechanisms to proactively identify data issues.
  • Support data profiling, lineage tracking, and metadata management to improve transparency and trust in data assets.
  • Collaborate with stakeholders to define quality thresholds and acceptance criteria, translating VA stakeholder needs into scalable, repeatable data engineering and database solutions.
Minimum Qualifications
  • Bachelor's degree
  • 5+ years of experience in data engineering, ETL/ELT development, or database administration.
  • Strong proficiency in SQL, Python, PySpark, Spark, and Databricks for data ingestion, cleaning, and transformation, including performance tuning, indexing, and query optimization.
  • Experience administering and optimizing relational databases in production environments.
  • Experience working across VA platforms and enterprise data assets.
  • Experience implementing automated data pipelines and data quality monitoring frameworks.
  • Experience with Azure analytics services (Azure Data Factory, Synapse, Azure Data Lake Storage, Azure SQL)
  • Experience with GitHub, GitLab, and GitHub Actions.
  • Authorized to work in the U.S. indefinitely without sponsorship
  • Ability to obtain a public trust
Preferred Qualification
  • Experience building data pipelines and architectures to manage ingest, integration, and data product development for large-scale unstructured datasets (PDFs, documents) across multiple source systems
  • Experience working with data platforms and processing tools, including Databricks and Spark
  • Experience migrating legacy and on-premises data and systems to cloud environments
  • Experience developing data products through a medallion architecture
  • Knowledge and experience applying data governance and data quality management tools, frameworks, and best practices
  • Amazon or Azure cloud certifications

Compensation & Benefits
PFS offers a benefits package that may include health, dental, and vision coverage; flexible spending accounts; disability and life insurance; a retirement plan; paid time off; and other programs to support employees and their families. Learn more about PFS Benefits.
The posted salary range is the company's good-faith estimate for this role. PFS benefits and compensation are determined by various factors, including, but not limited to, location; the individual's particular combination of education, knowledge, skills, competencies, and experience; as well as contract and organizational requirements.
Salary Range: $130,000 - $155,000
Equal Employment Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, parental status, national origin, age, disability, genetic information, political affiliation, military service, or other status protected by law.
Accommodations
PFS is committed to providing equal employment opportunities to all applicants. If you require a reasonable accommodation during the application or interview process, please contact us at recruiting@pfs.us. Reasonable accommodations are available to ensure applicants with disabilities have equal access to the hiring process, in accordance with the Americans with Disabilities Act (ADA) and applicable laws.
Workplace Health, Safety, and Compliance
This position may be subject to client-specific or government-mandated vaccination, health, or safety requirements, which may change over time.
Texting Privacy Policy and Information:
  • Message type: Informational; you will receive text messages regarding your application and potentially regarding interview scheduling.
  • No mobile information will be shared with third parties/affiliates for marketing/promotional purposes.
  • Message frequency will vary depending on the application process.
  • Msg & data rates may apply.
  • Opt out at any time by texting "stop".