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Remote Databricks Developer Jobs in Sterling, VA

Tenacity Solutions LLC

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Databricks Certified Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Experience implementing CI/CD and DevOps practices for data-engineering solutions. * Strong ... Work Environment This position is primarily remote , with limited onsite support required based on ...

Sparibis

Power Apps Developer

Washington, DC · On-site +1

Location: 100% Remote Years' Experience: 9+ years Professional Experience Education: Bachelor ... Databricks. * Transform data sources into data tables within tools to include Powers Apps and ...

YCG

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Senior Data Engineer

Washington, DC · Remote

$120K - $175K/yr

Databricks Spark Pipelines & ETL Engineering: Build and scale distributed PySpark and Spark SQL ... Company Description About YCG YCG is a fast-growing, remote-first technology company focused on ...

New

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Proficient with Databricks, MLflow, and PySpark. * Solid understanding of model lifecycle and MLOps practices. * Experience with AWS-based data infrastructure and related DevOps practices.

Global Alliant Inc

AI Engineer

Rockville, MD · On-site +1

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk ...

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

$140K/yr

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk ...

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Remote Databricks Developer information

What is a remote Databricks developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.

How does a remote Databricks developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What are the key skills and qualifications needed to thrive as a remote Databricks developer, and why are they important?

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

What is the difference between Remote Databricks Developer vs Data Engineer?

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

What job categories do people searching Remote Databricks Developer jobs in Sterling, VA look for?

The top searched job categories for Remote Databricks Developer jobs in Sterling, VA are:

What cities near Sterling, VA are hiring for Remote Databricks Developer jobs?

Cities near Sterling, VA with the most Remote Databricks Developer job openings:

Remote Databricks Developer jobs near you
Infographic showing various Remote Databricks Developer job openings in Sterling, VA as of August 2026, with employment types broken down into 68% Full Time, 26% Contract, and 6% Nights. Highlights an 100% Remote job distribution.

Databricks Certified Data Engineer

Washington, DC • Remote

Tenacity Solutions LLC
See more jobs at Tenacity Solutions LLCexternal

$117K - $140K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago

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Job description

Databricks Data Engineer – Databricks Certified


We are seeking an experienced Databricks Data Engineer to design, develop, optimize, and support enterprise-scale data engineering solutions using the Databricks Lakehouse Platform.

The ideal candidate will have advanced, hands-on experience with Databricks, Apache Spark, PySpark, Python, SQL, Delta Lake, Unity Catalog, and cloud data platforms, with a demonstrated record of delivering complex, production-grade data engineering solutions.


Databricks Certified Data Engineer Professional certification is required for this position.


Key Responsibilities

  • Design and develop scalable, production-grade data pipelines using Databricks, Apache Spark, PySpark, Python, and SQL.
  • Build and optimize ETL/ELT pipelines supporting batch and streaming workloads.
  • Develop and maintain Delta Lake solutions using Bronze, Silver, and Gold data layers.
  • Design scalable Lakehouse architectures supporting enterprise analytics and data modernization.
  • Develop and manage Databricks Jobs, Workflows, notebooks, and automated data-processing pipelines.
  • Apply advanced Spark optimization and performance-tuning techniques, including partitioning, joins, caching, query optimization, and cluster configuration.
  • Troubleshoot complex Spark jobs, pipeline failures, data-processing issues, and production incidents.
  • Implement data-quality controls, validation, reconciliation, error handling, and monitoring.
  • Implement data governance and secure access using Unity Catalog, RBAC, permissions, and appropriate security controls.
  • Integrate Databricks with cloud storage, databases, APIs, enterprise applications, and downstream analytics platforms.
  • Develop reusable frameworks, libraries, notebooks, and engineering standards.
  • Implement and support CI/CD pipelines for Databricks notebooks, jobs, workflows, and application deployments.
  • Support migration and modernization initiatives from legacy data platforms to the Databricks Lakehouse.
  • Collaborate with Data Architects, Data Scientists, Business Analysts, Cloud Engineers, and DevOps teams.
  • Conduct technical design and code reviews and provide recommendations regarding scalability, performance, security, cost optimization, and engineering best practices.
  • Maintain technical documentation covering data architecture, pipelines, mappings, workflows, and operating procedures.
  • Provide production support, root-cause analysis, and resolution of critical data-platform issues.


Required Qualifications

  • Databricks Certified Data Engineer Professional certification – REQUIRED
  • 7+ years of experience in data engineering and data-platform development.
  • 3+ years of hands-on experience developing production solutions on Databricks.
  • Demonstrated experience delivering multiple enterprise-scale Databricks/Lakehouse implementations.
  • Advanced proficiency with Apache Spark, PySpark, Python, and SQL.
  • Strong hands-on experience with Delta Lake and Lakehouse architecture.
  • Strong understanding of Spark distributed computing, execution plans, partitioning, shuffles, joins, and performance optimization.
  • Experience with Databricks Jobs, Workflows, and production pipeline orchestration.
  • Experience with Unity Catalog, data governance, security, and access management.
  • Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Experience implementing CI/CD and DevOps practices for data-engineering solutions.
  • Strong experience troubleshooting and optimizing production data pipelines.
  • Excellent analytical, problem-solving, communication, and collaboration skills.
  • Must be a U.S. Citizen.


Preferred Qualifications

  • Working knowledge of a second major cloud platform.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
  • Active U.S. Government security clearance is welcome but not required.


Work Environment

This position is primarily remote, with limited onsite support required based on customer or project needs.

Company Description

Tenacity Solutions, LLC (Tenacity) is a Service-Disabled Veteran Owned Small Business (SDVOSB) founded by our CEO, Gabriel Brown, CAPT, USN (Ret). Tenacity is an innovative company, leveraging talent, skill, and knowledge with cutting-edge and proven practices to deliver solutions and products that exceed customers’ requirements and surpasses their expectations. Tenacity immediately has become a leading technology and management solutions provider with a mission to advance healthcare services for specialized populations including Veterans and their families. Headquartered in North, Bethesda, Maryland (DMV), our talented resources are located across the United States. We bring diverse talent to design solutions that help customers with their greatest challenges.