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Remote Databricks Data Engineer Jobs in Washington, DC

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 ...

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 ...

Booz Allen Hamilton, Inc.

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 ...

Lovelytics

Lead Consultant, Data Engineer

Arlington, VA · On-site +1

$120K - $150K/yr

Databricks, AWS, and Azure to name a few. In addition to the technical capabilities for this role ... This role is open to remote candidates in the US. This role is not open for work sponsorship at ...

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 · 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

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

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Showing results 21-40

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 Aug 7, 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?

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:
What are popular job titles related to Remote Databricks Data Engineer jobs in Washington, DC? For Remote Databricks Data Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Data Engineer jobs in Washington, DC look for? The top searched job categories for Remote Databricks Data Engineer jobs in Washington, DC are:
Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in Washington, DC as of June 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

GenAI Data Automation Engineer

System One

Washington, DC • Remote

$48.95/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 6 days ago

Job description

Job Title: GenAI Data Automation Engineer Location: Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public Trust Responsibilities

  • Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB, and Step Functions.
  • Develop ETL/ELT processes to move data between DynamoDB, SQL Server (AWS), and Azure SQL systems.
  • Integrate AWS Connect CRM data into the enterprise data pipeline for analytics and operational reporting.
  • Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch processing into Apache Solr, AWS Open Search platforms.
  • Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face, LangChain) to create automated processes for vector generation and embeddings, automate data quality checks, metadata tagging, and lineage tracking, and enhance ingestion/ETL with LLM-assisted transformation and anomaly detection.
  • Build conversational BI interfaces that allow natural language access to Solr and SQL data.
  • Develop AI-powered copilots for pipeline monitoring and automated troubleshooting.
  • Implement SQL Server stored procedures, indexing, query optimization, profiling, and execution plan tuning to maximize performance.
  • Apply CI/CD best practices using GitHub, Jenkins, or Azure DevOps for data pipelines and GenAI model integration.
  • Ensure security and compliance through IAM, KMS encryption, VPC isolation, RBAC, and firewalls.
  • Support Agile DevOps processes with sprint-based delivery of pipeline and AI-enabled features.
Requirements:
  • BS in Computer Science or related field with 2+ years of data engineering, automation experiences.
  • Hands-on experience with SQL, SSIS, Python, Spark, Bash, PowerShell, AWS/Azure CLIs.
  • Experience with AWS services like S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB.
  • Familiarity with Apache Flume, Kafka, Solr for large-scale data ingestion and search.
  • Familiarity with LLM, Gen AI frameworks using AWS Bedrock, Azure OpenAI or open source platforms and tools.
  • Experience with integrating REST API calls in workflows.
  • Familiarity with JIRA, GitHub / Azure DevOps / Jenkins for SDLC and CI/CD automation.
  • Strong troubleshooting and performance optimization skills in SQL, Spark or other data solutions.
  • Experience operationalizing Generative AI (GenAI Ops) pipelines, including model deployment, monitoring, retraining, and lifecycle management for LLMs and AI-enabled data workflows.
  • Good communication and presentation skills.
  • Ability to obtain Federal government Public Trust clearance.
Preferred (plus)
  • Certifications: AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer.
  • Experience implementing RAG pipelines, embeddings, and vector search with Solr, OpenSearch, FAISS, Pinecone, or Pgvector/SQL server vector types.
  • Experience with GenAI powered coding tools such as Claude Code, OpenAI Codex, VS Code.
  • Experience with multi-cloud data integration (AWS – Azure SQL).
  • Familiarity with Microsoft BizTalk and SSIS for SQL Server ETL workflows.
  • Knowledge of data lineage/governance tools (Purview, Unity Catalog, AWS Glue Catalog).
  • Familiarity with Infrastructure-as-Code (Terraform/CloudFormation, Bicep) for deployments.
  • Experience with compliance frameworks (FedRAMP, PCI-DSS, HIPAA).

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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