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Remote Databricks Data Engineer Jobs in Washington, DC

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 ...

Analytics Data Engineer

Washington, DC · On-site +1

$120K - $144K/yr

As an Analytics Data Engineer supporting our Federal government client, you will be trusted to ... Implement and maintain end-to-end data pipelines and data systems in Databricks integrating CI/CD ...

Analytics Data Engineer

Washington, DC · Remote

$117K - $140K/yr

As an Analytics Data Engineer supporting our Federal government client, you will be trusted to ... Implement and maintain end-to-end data pipelines and data systems in Databricks integrating CI/CD ...

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/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 ...

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, Senior

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243464 Location: McLean,VA,US Share job via: Share Data Engineer ... Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0244707 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more ...

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience. * Power BI and Tableau ...

Be Seen First

Data Engineer

Washington, DC · Remote

$98K - $128K/yr

Remote Position Summary The Data Engineer / Data Project Lead provides technical leadership for data management and data engineering activities under the Client's National Customer Service ...

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Showing results 41-60

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:
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.

Data Engineer, Mid

Booz Allen Hamilton, Inc.

Alexandria, VA • On-site, Remote

$62K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 11 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0240987
Location:
Alexandria,VA,US
Share job via:
Share
Data Engineer, Mid
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good.
Join us. The world can't wait.
You Have:
  • 3+ years of experience deploying, configuring, and maintaining enterprise software and data systems in secure, air-gapped, or disconnected environments
  • 3+ years of experience building and maintaining ETL/ELT pipelines for structured and unstructured data
  • 2+ years of experience in Python and SQL for data manipulation, automation, and pipeline development
  • Experience with distributed data and computing tools such as Spark or Databricks
  • Experience developing RESTful APIs in Python to support data ingestion and integration workflows
  • Experience with relational and non-relational databases, such as PostgreSQL, MongoDB, or Elasticsearch, to support deployment and configuration
  • Knowledge of the Software Development Life Cycle (SDLC), secure deployment practices, and data security controls
  • Ability to work on site and operate independently in a Sensitive Compartmented Information Facility (SCIF) environment with limited connectivity
  • TS/SCI clearance
  • Bachelor's degree

Nice If You Have:
  • 3+ years of experience building enterprise data engineering solutions in the cloud, including cloud native technologies from AWS and Azure
  • Experience supporting classified data systems for the Department of Defense or Intelligence Community
  • Experience with cross-domain solutions and data transfer guard technologies
  • Experience supporting data lake and data warehouse architectures
  • Experience with data modeling, metadata management, and data quality frameworks
  • Experience with IAM, encryption, and security controls in cloud or on-prem environments
  • Experience with Palantir Foundry or similar enterprise data platforms
  • Knowledge of containerization or container orchestration technologies
  • Possession of excellent verbal and written communication, analytical, and problem-solving skills

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914