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Remote Databricks Data Engineer Jobs in Reston, VA

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

Contributions We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking ...

Analytica

Senior Data Engineer (Hybrid)

Washington, DC · On-site +1

$129K - $155K/yr

Design, build and maintain large, complex data processing pipelines using Azure Databricks that ... Bachelor's degree in Computer Science, Engineering, IT, or other scientific or quantitative fields ...

Sparibis

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... Experience with Databricks, Structured Streaming, Delta Lake concepts, and Delta Live Tables ...

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 ...

Steampunk

Lead Data Architect

Mclean, VA · On-site +1

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

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 ...

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 ...

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All JobsDatabricks Data Engineer JobsRemote Databricks Data Engineer JobsRemote Databricks Data Engineer Jobs in Reston, VA

Remote Databricks Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

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

As of Jul 8, 2026, the average yearly pay for remote databricks data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 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 Reston, VA? The most popular types of Databricks Data Engineer jobs in Reston, VA are:
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Remote Databricks Data Engineer jobs near you
Azure Databricks Data Engineer (Remote)

Azure Databricks Data Engineer (Remote)

Analytica

Washington, DC • On-site, Remote

$129K - $155K/yr

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Analytica is seeking a talented Azure Databricks Data Engineer to join its growing Analytics practice in support of our federal clients. The ideal candidate will be comfortable working in an agile, multi-faceted team that involves direct, collaborative client engagement to design and develop software products.
Analytica has been recognized byInc. Magazineas one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.
Responsibilities include (but not limited to):
  • Lead initiatives to create and maintain optimal data pipeline architecture.
  • Design, build and maintain large, complex data processing pipelines using Apache Spark on Databricks in Azure to meet enterprise requirements for reporting and analytics.
  • Provide operational and functional support on creating, storing, managing, and maintaining enterprise data, including the ability to incorporate policies and procedures for centrally managing and sharing data through the data life cycle.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing for flexibility and scalability.
  • Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of cloud and on-premises data sources.
  • Work with stakeholders including to assist with data-related technical issues and support their data infrastructure needs.
  • Work closely with data architecture, data governance and data analytics teams to ensure pipelines adhere to enterprise standards, usability, and performance
  • Guide and mentor team members on best practices, effective design patterns and data maturity.
  • Ensure safeguards and security are effectively implemented to protect UMA enterprise data.
  • Ensure code is well structured, sufficiently documented, and is easy to maintain and reuse.
  • Implement DataOps and DevSecOps for data initiatives using UMA's preferred processes and tools. Participate as team member / leader in Agile/Scrum teams
  • Work on continuous improvement initiatives and effectively address root cause analysis outcomes to deliver sustainable excellence.
  • Mentor, coach, and support team members

Basic Qualifications:
  • Bachelor's degree in Computer Science, Engineering, IT, or other scientific or quantitative fields
  • 7+ years of experience in a Data Engineer or equivalent role in enterprise initiatives.
  • 3+ years of experience with Azure: ADF, ADLS Gen 2, Azure Synapse, Databricks, Streamsets or equivalent technologies,
  • 3+ years of experience in working with SQL databases, Transaction replication and Change data capture technologies.
  • Experience building processes to support data transformation, data structures, metadata, dependencies, and workload management.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Experience with Data Ops , DevSecOps, CI/CD workflows
  • Strong communication, interpersonal, and collaboration skills with both business and technical resources
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Demonstrated team player with proactive, can-do attitude with a demonstrated ability to handle multiple priorities.
  • Able to support a diverse and inclusive work environment.
  • Ability to secure a US Federal Clearance.

AboutAnalytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified 8(a) small businessthat hasbeen recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growingcompanies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The companyis appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.
As a federal contractor, Analytica is required to verify that all employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.

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