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Freelance Databricks Data Engineer Jobs in Washington

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 ...

Infinitive

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 ...

Gswell

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 ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$140K - $180K/yr

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.

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 ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$140K - $180K/yr

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 ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$140K - $180K/yr

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 ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$125K - $165K/yr

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 ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$140K - $180K/yr

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 ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$140K - $180K/yr

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 ...

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 ...

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 ...

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Freelance Databricks Data Engineer information

What is a freelance Databricks data engineer?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

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

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.

How do freelance Databricks data engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

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 Freelance Databricks Data Engineer jobs in Washington?

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

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

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

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

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

Freelance Databricks Data Engineer jobs near you

Data Engineer - AWS/Databricks

Reston, VA • On-site

Acuity INC
See more jobs at Acuity INCexternal

$90K - $100K/yr

Full-time

Re-posted 28 days ago

Job description

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.
  • 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.


  • 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

USD $90,000.00/Yr.
USD $100,000.00/Yr.
The salary range for this position represents Acuity's good faith estimate of the compensation for this job title at the time of posting. Final compensation will be determined based on factors including, but not limited to, the candidate's qualifications, experience, education, certifications, skills, geographic location, contract requirements, applicable labor categories, and, where applicable, contract award and funding.

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