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Overnight Databricks Data Engineer Jobs in Washington, DC

Data Engineering & Architecture Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking a Databricks Engineer to join our AI and ...

Data Engineering & Architecture Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking a Databricks Engineer to join our AI and ...

Data Engineering & Architecture Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking a Databricks Engineer to join our AI and ...

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$119K - $143K/yr

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Databricks AI Solutions: Design, build, and maintain scalable data pipelines and workflows using ... AI/Data Engineering: 5+ years of proven experience building large-scale data platforms, with at ...

Data Engineer - AWS/Databricks

Reston, VA · Remote

$119K - $143K/yr

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$119K - $143K/yr

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

Data Engineer - AWS/Databricks

Reston, VA · Remote

$119K - $143K/yr

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

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 ...

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 ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

You will design, build, and maintain Databricks-based data pipelines and lakehouse capabilities ... Working with software engineers, AI/ML engineers, cybersecurity teams, and mission stakeholders ...

Data Engineer

Arlington, VA

$131K - $158K/yr

You will design, build, and maintain Databricks-based data pipelines and lakehouse capabilities ... Working with software engineers, AI/ML engineers, cybersecurity teams, and mission stakeholders ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels--from junior to senior--to ... Design, build, and maintain scalable data pipelines and data architectures using Databricks and ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels-from junior to senior-to join ... Design, build, and maintain scalable data pipelines and data architectures using Databricks and ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

You will design, build, and maintain Databricks-based data pipelines and lakehouse capabilities ... Working with software engineers, AI/ML engineers, cybersecurity teams, and mission stakeholders ...

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

We are seeking a skilled Data Engineer with 5 7 years of experience to design, build, and maintain ... The ideal candidate will have strong expertise in SQL, Azure Data Services, and Databricks, with ...

... Data Engineering with experience in the following: * * Experience designing and building data pipelines and data products on modern lakehouse platforms (e.g. Databricks, Apache Spark), including ...

Showing results 41-60

Overnight Databricks Data Engineer information

What is the difference between Overnight Databricks Data Engineer vs Data Engineer?

AspectOvernight Databricks Data Engineer
Work EnvironmentPrimarily remote or on-site, working overnight shifts to support global data operations
CertificationsDatabricks certifications, cloud platform credentials (AWS, Azure), data engineering certifications
Tools & TechnologiesDatabricks platform, Spark, cloud services, SQL, Python, ETL tools
Industry UsageTech, finance, healthcare, retail with 24/7 data needs

While both roles focus on data engineering, the Overnight Databricks Data Engineer specializes in managing data pipelines on the Databricks platform during overnight shifts, often supporting global operations. A Data Engineer may work across various platforms and shifts, with broader responsibilities in data architecture and pipeline development. The overnight role emphasizes specific platform expertise and shift timing, catering to organizations with continuous data processing needs.

What unique challenges do overnight Databricks data engineers face, and how can they be addressed?

Overnight Databricks Data Engineers often work with limited real-time support, which can present challenges when troubleshooting urgent data pipeline issues or system outages. To address this, it’s essential to develop strong problem-solving skills, document processes thoroughly, and leverage automated monitoring and alerting tools. Additionally, close collaboration with daytime teams during handoff periods ensures continuity and minimizes disruptions. Building a habit of proactive communication and maintaining detailed logs helps the entire team resolve issues efficiently and maintain data quality.

What skills and qualifications are needed to thrive as an overnight Databricks data engineer?

To thrive as an Overnight Databricks Data Engineer, you need strong proficiency in data engineering, Python or Scala programming, and experience with big data technologies, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and certifications like Databricks Certified Data Engineer are highly valued. Attention to detail, problem-solving, and effective communication are essential soft skills, especially for troubleshooting and collaborating across shifts. These competencies ensure reliable data pipeline management and efficient resolution of issues during off-hours, maintaining seamless business operations.

What is an overnight Databricks data engineer?

An Overnight Databricks Data Engineer is a professional who works primarily during night shifts to manage, design, and maintain big data pipelines and workflows using Databricks, a cloud-based data analytics platform. Their responsibilities often include developing and optimizing data processing jobs, ensuring data quality, and troubleshooting issues that arise during overnight data operations. This role is critical for organizations that require 24/7 data processing, continuous ETL jobs, or real-time analytics. Working overnight may also involve monitoring automated systems, performing scheduled data loads, and collaborating with global teams to ensure data availability and reliability.
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:

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago


Guidehouse rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

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Job description

Job Family:

Data Engineering & Architecture Consulting


Travel Required:

None


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:
Guidehouse is seeking a Databricks Engineer to join our AI and Data Defense and Security team to support client projects involving large‑scale data pipelines, troubleshooting production workloads, and leading Agile delivery teams in support of organizational and mission goals within the Department of Homeland Security (DHS). This role requires hands‑on technical expertise, strong communication skills, and the ability to own workstreams independently. Responsibilities include, but are not limited to:

  • Design, build, and maintain scalable ETL pipelines using Databricks, PySpark, SQL, and Delta Lake.
  • Proficiency in batch and stream processing, autoloader, and compute optimization.
  • Troubleshoot and resolve Databricks job failures, cluster performance issues, data quality gaps, and pipeline bottlenecks.
  • Implement CI/CD practices for notebooks, workflows, and data jobs.
  • Lead Agile Project Management (stand‑ups, sprint planning, retrospectives) as needed; support backlog refinement.
  • Collaborate with cross‑functional teams including data scientists, solution architects, and client stakeholders.
  • Communicate technical concepts and delivery impacts to non‑technical audiences.
  • Ensure all engineering work aligns with data governance, security, and compliance standards (Unity Catalog, Delta constraints, Data Lineage).
  • Perform code reviews, data quality validation, and documentation.

What You Will Need:

  • Ability to OBTAIN and MAINTAIN a Federal or DHS Public Trust
  • Bachelors Degree
  • 5+ years of relevant experience


What Would Be Nice To Have:

  • Active DHS Public Trust
  • Law Enforcement experience
  • Scrum Master Certification
  • Experience managing projects in similar size and scope.
  • Experience managing IT projects using either Agile Scrum or Kanban methodologies.
  • Experience managing projects leveraging commercial cloud infrastructure
  • Databricks Data Engineer Associate/Professional Certification.
  • Experience with streaming frameworks (e.g., Kafka, Event Hub).
  • Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions).
  • Experience with Unity Catalog, Terraform, or related IaC tools.

#LI-DNI


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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