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Remote Databricks Data Engineer Jobs in Washington, DC

Data Engineer

Arlington, VA · Remote

$130K - $170K/yr

Experience and understanding of data lakes/warehouses (e.g., Snowflake, Databricks, Redshift ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

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 ...

Data Engineer - Senior

Herndon, VA · Remote

$140K - $180K/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

Data Engineer - Senior

Hyattsville, MD · Remote

$140K - $180K/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

Data Engineer - Senior

Hyattsville, MD · On-site +1

$140K - $180K/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

Senior Consultant, Data Engineer

Arlington, VA · On-site +1

$121K - $165K/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 ...

Data Engineer - Senior

Herndon, VA · On-site +1

$140K - $180K/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

Lead Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Experience with Databricks, including: * Delta Lake * Unity Catalog * Spark-based pipelines ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

Data Engineer

Arlington, VA · On-site +1

$130K - $157K/yr

Imagineeer is seeking a Data Engineer to support the design, development, and maintenance of secure ... Experience with lakehouse platforms (Databricks, Snowflake, or similar) * Experience implementing ...

Lead Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

... and Databricks • Develop technical architectures and specific implementations to meet business needs. • Guide the team's software engineering best practices by documenting standards and ...

Data Engineer

Washington, DC · On-site +1

$110K - $149K/yr

The Data Engineer provides system and data engineering support to data analysis operations ... Knowledge of Databricks a plus. * Understanding of relational and non-relational databases.

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Showing results 1-20

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 Jun 26, 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:
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:
Infographic showing various Remote Databricks Data Engineer job openings in Washington, DC as of June 2026, with employment types broken down into 87% Full Time, 5% Part Time, and 8% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.
Data Engineer

Data Engineer

Shift5

Arlington, VA • Remote

$130K - $170K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 16 days ago


Job description

About Shift5

Shift5 is building the data platform for onboard operational technology (OT). We deliver cybersecurity, predictive maintenance, and compliance capabilities that enable defense and commercial fleets to operate with greater readiness, resilience, and mission assurance.

We are seeking a Data Engineer to join our growing Product Engineering team. In this role, your primary responsibility will be to design, build, and maintain data processing, storage, and integration pipelines. You will report to our Off Vehicle Manager, Software Engineering, and operate in a team-based environment with engineers, product managers, program managers, and designers to conceive, implement, and shape major features. You'll be a major factor in generating high-impact products that literally save lives.

What You'll Do
  • Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.
  • Feature Ownership: Interpret requirements and design specifications, taking full ownership of building features from the ground up.
  • Write Quality Code: Write clean, well-documented, scalable, extensible, and testable code to ensure application quality and maintainability.
  • Cross-Functional Collaboration: Partner with data scientists and engineers to create semantic data models representing complex vehicular systems, and integrate applications cleanly across other Shift5 componentry.
  • Support Stakeholders: Build scalable data products for data scientists, transportation engineers, and executives to drive insights and decision-making.
  • Cloud Optimization: Create efficient, reliable, cost-effective, dynamically scalable, and observable solutions utilizing AWS cloud services.
  • Data Analysis & Quality: Analyze complex data sets to create data ontologies, verify data quality/integrity, and ensure data accuracy throughout pipelines.
  • Field Support: Support the design process and occasionally travel to customer sites (estimated a few times per year) to collaborate with Field Engineers on data integration and deployment.
What Success Looks Like
  • High-Impact Delivery: You successfully deliver scalable, observable, supportable, and reliable data processing applications that empower customers to run smarter, safer fleets.
  • End-to-End Ownership: You confidently steer features from initial requirements gathering and design through planning and implementation in a fast-paced environment.
  • Collaborative Impact: You actively shape product design alongside multidisciplinary teams, contributing directly to a culture of high performance and mission readiness.
  • Adaptability: You efficiently multitask and smoothly accommodate changing priorities on demand to meet the dynamic needs of a scaling company.
What We're Looking For
  • Engineering Experience: 2+ years of software/data engineering experience with a deep understanding of software engineering practices and concepts.
  • Core Languages: 2+ years of experience with a major programming language (GoLang, Java, or Python).
  • Databases & Big Data: 2+ years of relational database experience (PostgreSQL, MySQL, Oracle, etc.) alongside 2+ years of experience with Big Data (Hadoop, Spark) and Data Modeling.
  • Cloud & Containers: 2+ years of experience with containerization and cloud services (Docker, Kubernetes) and cloud monitoring tools.
  • Data Pipelines: Expertise with batch and streaming data pipelines using technologies such as Apache Airflow or Benthos.
  • Modern Data Stack: Familiarity with modern data stack components including data ingestion, transformation, and orchestration.
  • U.S. citizenship required and ability to obtain a security clearance.
  • Data Architecture: Experience and understanding of data lakes/warehouses (e.g., Snowflake, Databricks, Redshift).
  • DevOps Practices: Proficiency with CI/CD, source control, design reviews, and integrating observable practices.
  • Travel Flexibility: Willingness to travel occasionally to customer and partner sites to support field integration and deployment efforts.
Compensation & Benefits
  • Base Salary: $130,000 - 170,000
  • Bonus program and equity in a fast-growing startup
  • Competitive salary and stock options in a fast-growing startup
  • Employer-paid medical, dental and vision coverage
  • Health Savings Account with annual employer contributions
  • Life Insurance
  • Uncapped paid time off policy
  • Flexible work & remote work policy
  • Tax-deferred public transit benefits with Metro SmartBenefits (DC/MD/VA)
Equal Opportunity Employer

Shift5 is committed to equal employment opportunity and affirmative action. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Shift5 is an Equal Opportunity Employer.

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