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Remote Databricks Data Engineer Jobs in Washington, DC

E Logic

Data Engineer

Washington, DC · Remote

$120K/yr

E-Logic, Inc. seeks a Data Engineer to build, optimize, and maintain high-throughput ETL data ... Manage and optimize data within Databricks Unity Catalog and SQL Server managed instances utilizing ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0244477 Location: Arlington,VA,US Share job via: Share Data ... Databricks, SQL Data Warehouse, or machine learning service * Experience creating software for ...

Bixal

Data Engineer

Fairfax, VA · On-site +1

$130K - $135K/yr

We are seeking a skilled and motivated Data Engineer to join our dynamic team as we continue to ... The successful candidate will bring deep expertise in PySpark, Databricks, AWS, Kafka/streaming ...

Steampunk

Lead Data Architect

Mclean, VA · Remote

Databricks Data Engineer Professional * Google Professional Data Engineer * Snowflake SnowPro Advanced Architect * TOGAF or cloud architecture frameworks * Local to Washington, DC metro area About ...

Noblesoft Technologies

Databricks Engineer

Adelphi, MD · Remote

Databricks Engineer (with Validation/Testing experience) Location: 100% remote (east coast hours ... Experience ingesting data from 10+ source systems into data lakes * Very strong with Databricks ...

BDR Solutions LLC

Data Engineer - Senior

Herndon, VA · Remote

$110K - $170K/yr

Databricks Certified Data Engineer Professional or advanced equivalent - must be current and in good standing at award * AWS Certified Solutions Architect or Data Engineer - Associate or Professional

BDR Solutions LLC

Data Engineer - Senior

Hyattsville, MD · On-site +1

$110K - $170K/yr

Databricks Certified Data Engineer Professional or advanced equivalent - must be current and in good standing at award * AWS Certified Solutions Architect or Data Engineer - Associate or Professional

BDR Solutions LLC

Data Engineer - Senior

Hyattsville, MD · Remote

$110K - $170K/yr

Databricks Certified Data Engineer Professional or advanced equivalent - must be current and in good standing at award * AWS Certified Solutions Architect or Data Engineer - Associate or Professional

BDR Solutions LLC

Data Engineer - Senior

Herndon, VA · On-site +1

$110K - $170K/yr

Databricks Certified Data Engineer Professional or advanced equivalent - must be current and in good standing at award * AWS Certified Solutions Architect or Data Engineer - Associate or Professional

System One

Be Seen First

Senior Palantir Data Engineer & Architect - US Public Trust Required

Arlington, VA · Remote

$130K - $216K/yr

Remote - Must be willing to travel up to 25% Time Type: Full-time Clearance: Ability to Obtain ... Seamlessly integrate Palantir with AWS services (S3, Lambda, Glue) and Databricks/Apache Spark ...

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All JobsDatabricks Data Engineer JobsRemote Databricks Data Engineer JobsRemote Databricks Data Engineer Jobs in Washington, DC

Remote Databricks Data Engineer information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do remote databricks data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote databricks data engineer in Washington, DC 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 are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

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 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 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, DC? The most popular types of Databricks Data Engineer jobs in Washington, DC are:
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Remote Databricks Data Engineer jobs near you
Data Engineer

Data Engineer

E Logic

Washington, DC • Remote

$120K/yr

Full-time

Posted 3 days ago

New

Job description

E-Logic, Inc. seeks a Data Engineer to build, optimize, and maintain high-throughput ETL data pipelines in cloud-native environments supporting the PRAC Analytics Center. You will be responsible for data ingestion, pipeline management, schema transformation, and supporting enterprise data management (EDM) standards.


Key Responsibilities

  • Design, build, and maintain scalable ETL pipelines across diverse public and non-public data sources.
  • Ingest and transform data from flat files, JSON, XML, Excel, APIs, and graph databases using SQL and Python.
  • Manage and optimize data within Databricks Unity Catalog and SQL Server managed instances utilizing Lakehouse architecture and streaming/batch frameworks.
  • Execute standard quality control processes to ensure data quality, data lineage, reliability, and system performance.
  • Operate and maintain existing data pipelines, catalogs, schemas, and transformation logic without service disruption.

Qualifications & Requirements

  • Minimum 3 years of professional experience in data engineering or a related field.
  • Experience loading, managing, and optimizing data in platforms such as Azure Databricks Unity Catalog and Microsoft SQL Server.
  • Strong SQL and Python skills; expertise with varied data formats (JSON, XML, APIs, graph DBs).
  • Familiarity with Enterprise Data Management (EDM), data governance, and data quality standards. Support for fraud detection/financial oversight environments preferred.


Important Notice:


This role is part of a proposal for Pandemic Response Accountability Committee (PRAC). Hiring is contingent upon the selection of the consultant. Selected candidates will be included in the proposal and must authorize the use of their resume for submission.