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Remote Databricks Data Engineer Jobs in Washington

A-TEK Inc.

Senior Data Engineer

Washington, DC · On-site +1

$120.10K - $163.10K/yr

This position is remote and requires the ability to obtain and retain a public-trust clearance ... Azure Synapse, Databricks, Spark, Hadoop, Kafka, or distributed analytics platforms * Python ...

IMAGINEEER LLC

Data Engineer

Arlington, VA · On-site +1

$130.80K - $157.10K/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 ...

Ex Parte, Inc

Lead Data Engineer

Bethesda, MD · On-site +1

$122.20K - $146.80K/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 ...

GDIT

Data Engineer

Washington, DC · On-site +1

$110.50K - $149.50K/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.

asrcfh

Senior Data Engineer - Lakehouse (Remote)

Reston, VA · On-site +1

$110.30K - $149.80K/yr

Implement and manage lakehouse architecture solutions (e.g., Delta Lake, Databricks, or similar ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.

asrcfh

Senior Data Engineer - Lakehouse (Remote)

Reston, VA · On-site +1

$110.30K - $149.80K/yr

Implement and manage lakehouse architecture solutions (e.g., Delta Lake, Databricks, or similar ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.

Analytica

Senior Data Architect

Bethesda, MD · Remote

$68.75 - $92/hr

The Data Architect will play a hands-on role in modernizing data environments, leveraging cloud-native technologies, Databricks, and advanced data engineering frameworks to ensure scalable, secure ...

Analytica

Senior Data Architect

Bethesda, MD · On-site +1

$71.75 - $96/hr

The Data Architect will play a hands-on role in modernizing data environments, leveraging cloud-native technologies, Databricks, and advanced data engineering frameworks to ensure scalable, secure ...

Alphataraxia

Data Engineer II

Washington, DC · On-site +1

$150K - $170K/yr

The Data Engineer II will play an important role in expanding our data engineering capabilities ... Hybrid remote work environment-most of the year we are in the office Tuesday to Thursday with ...

Info Gain Consulting

Data Engineer

Alexandria, VA · On-site +1

$122.60K - $147.20K/yr

Ability to work independently and collaboratively in a remote team environment. Preferred Qualifications * Certification in relevant data engineering technologies. * Experience working with the ...

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Remote Databricks Data Engineer information

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 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 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 the most commonly searched types of Databricks Data Engineer jobs in Washington? The most popular types of Databricks Data Engineer jobs in Washington are:
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Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in Washington as of May 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 50% In-person, and 50% Remote job distribution.

Principal Data Engineer

Capital Technology Group

Washington, DC • On-site, Remote

$170K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity.

Our multidisciplinary teams use agile methodologies to rapidly and incrementally deliver value in close collaboration with our clients. For over a decade, we have been trusted by both federal and commercial clients to solve complex, mission-critical business challenges. The quality of our work has been recognized by our partners and peers through our inclusion in the Digital Services Coalition, a group of forward- thinking firms recognized for excellence in delivering IT services.

Description

Capital Technology Group (CTG) is on a mission to modernize and innovate the way the federal government delivers software. We are passionate about our work, dedicated to our clients, and committed to a culture of continuous learning and growth. For this role specifically, we are seeking an individual to help support high-impact, civic tech within the federal government.

As an integral part of the program, the Data Engineer leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts, analyzes and communicates the benefits and risks in implementing solutions using the new technologies, lead teams to support the adoption of new technologies across the enterprise, and provides technical leadership by supervising and mentoring junior members of the team.

Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance

Responsibilities
  • Design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices
  • Evaluate and prototype new tools and technologies, assessing their risks and benefits
  • Build and maintain scalable data pipelines and models using Databricks, dbt, and SQL (PostgreSQL)
  • Develop robust data solutions leveraging AWS services (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch)
  • Implement data transformations and integrations using Python and Java
  • Ensure reliability, performance, and maintainability of end-to-end data systems
  • Implement infrastructure-as-code using Terraform for managing cloud resources
  • Monitor and optimize system health and performance using CloudWatch and Splunk
  • Mentor junior engineers and code reviews
  • Clearly communicate technical topics to both technical and non-technical audiences
  • Collaborate with cross-functional stakeholders to define data requirements and deliver solutions in agile environments
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 10+ years of professional experience in data engineering or related domains
  • Strong hands-on experience with:
    • Databricks (deep expertise required)
    • AWS native
    • Dbt, SQL (PostgreSQL), Python, Java, AWS (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch), Data Pipelines, Data Modeling, System Maintenance, Data Integration, Performance Optimization
  • Proven leadership experience in technical teams
  • Strong analytical and problem-solving skills
  • Experience working in agile, iterative software development environments
  • Ability to quickly learn and apply new technologies and domain knowledge
  • Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences

Nice to Have Skills

  • Experience with Kafka (streaming/data pipelines)
  • Experience with Docker and Kubernetes for containerization and orchestration
  • Proficiency with Splunk for log aggregation and system monitoring
  • Experience using Terraform for infrastructure automation and management
  • Strong SQL skills, including performance tuning and complex query design

Salary Range

We are committed to offering a competitive salary for this position, with an estimated range of $170k to $240k annually. Please note that this range is intended to provide a general idea of what to expect; however, the final offer may vary based on experience, skills, and other factors. The stated range is not a guarantee and is subject to change.

Full Time Employee Benefits
  • Remote Work (Hybrid roles will be specified in the job post)
  • Competitive Compensation Package
  • Medical, Dental, and Vision
  • Life Insurance, Short/Long Term Disability
  • Employee Assistance Program
  • 401(k) with 4% matching
  • Liberal PTO vacation policy
  • Generous Annual Continuing Education
  • Annual Wellness Budget
  • Bonus Incentive Programs (Employee referrals and performance-based rewards)

Thanks for your interest in Capital Technology Group!

Capital Technology Group is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.