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Freelance Databricks Data Engineer Jobs in Washington

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 ...

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 ...

Data Engineer - AWS/Databricks

Reston, VA ยท 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 ยท Remote

$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 ยท 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 ...

Data Engineer - AWS/Databricks

Reston, VA ยท 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 ...

Senior AI Data Engineer

Herndon, VA ยท 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 ...

Senior AI Data Engineer

Herndon, VA ยท 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 ...

Senior Data Engineer - Databricks

Washington, DC ยท 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 ...

Senior Data Engineer - Databricks

Mclean, VA ยท 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 ...

Senior Data Engineer - Databricks

Mclean, VA ยท 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 ...

Data Engineer

Arlington, VA ยท 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 ...

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 ...

Data Engineer

Arlington, VA ยท 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 ...

Data Engineer

Arlington, VA ยท 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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Showing results 41-60

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:

Data Engineer (Databricks) with Security Clearance

Big Impact Tech

Washington, DC โ€ข On-site

$129K - $155K/yr

Other

Re-posted 6 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 Bachelorโ€™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)