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Weekend Data Engineer Jobs in Reston, VA (NOW HIRING)

Guidehouse

Data Engineer

Arlington, VA · On-site

$113K - $188K/yr

Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. The ideal candidate will have hands-on experience ...

Guidehouse

Data Engineer

Arlington, VA · On-site

$113K - $188K/yr

Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. The ideal candidate will have hands-on experience ...

Guidehouse

Data Engineer

Mclean, VA

$85K - $141K/yr

Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance Required: Active Secret Guidehouse seeks a Data Engineer to support the Department of Defense (DoD) by designing ...

Dlapiper

Data Engineer

Washington, DC · On-site

$129.70K - $155.70K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Guidehouse

Data Engineer

Arlington, VA

$113K - $188K/yr

Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. The ideal candidate will have hands-on experience ...

Dlapiper

Data Engineer

Reston, VA · On-site

$119.10K - $143K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$131.90K - $158.40K/yr

They are seeking a Data Engineer to help build advanced technology solutions and implement data engineering activities for mission-driven projects. Responsibilities : • help our clients find ...

GeoYeti

Data Engineer

Herndon, VA · On-site

$117.70K - $141.40K/yr

Data Engineer Herndon, VA or DC Active TS/SCI with CI poly required At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing ...

DLA Piper

Data Engineer

Reston, VA · On-site

$119.10K - $143K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

VTG

Data Engineer

Chantilly, VA · On-site

$118.30K - $142.10K/yr

Overview We are seeking a skilled Data Engineer with at least 5 years of experience designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will have ...

Booz Allen Hamilton

Data Engineer

Washington, DC · On-site

$129.20K - $155.10K/yr

The Data Engineer will help build technology solutions and lead data engineering activities on mission-driven projects, guiding teams to organize and derive insights from data. Responsibilities : • ...

VTG

Data Engineer

Mclean, VA

$115.70K - $139K/yr

Overview We are seeking a skilled Data Engineer with at least 5 years of experience designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will have ...

GeoYeti

Data Engineer

Herndon, VA

$117.70K - $141.40K/yr

Overview Data Engineer Herndon, VA or DC Active TS/SCI with CI poly required At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, ...

Booz Allen Hamilton

Data Engineer

Arlington, VA

$62K - $141K/yr

R0237363 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$61.90K - $141K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer 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 ...

Cornerstone Defense

Data Engineer

Chantilly, VA · On-site

$117.20K - $140.80K/yr

Data Engineer Location: Chantilly, VA *Clearance: *Active TS/SCI w/ Polygraph needed to apply * Company Overview: Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and ...

VTG

Data Engineer

Herndon, VA · On-site

$117.70K - $141.40K/yr

Overview We are seeking a skilled Data Engineer with at least 5 years of experience designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will have ...

Systems Planning and Analysis

Data Engineer

Falls Church, VA · On-site

$122.20K - $146.70K/yr

Responsibilities The Data Engineer is responsible for designing, building, and maintaining data pipelines and ontology models in Palantir Foundry. This role ingests, transforms, and integrates ...

Analytic Services Inc

Data Engineer

Reston, VA

$119.10K - $143K/yr

Position Summary ANSER is seeking a Data Engineer to design, build, and optimize enterprise-level data management systems to support Object-Based Intelligence (OBI) analytic processes and mission ...

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All JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Reston, VA

Weekend Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do weekend data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for weekend 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 Weekend Data Engineer, and why are they important?

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.

What are the typical expectations and work patterns for a Weekend Data Engineer position?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What are Weekend Data Engineers?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the most commonly searched types of Data Engineer jobs in Reston, VA? The most popular types of Data Engineer jobs in Reston, VA are:
What are popular job titles related to Weekend Data Engineer jobs in Reston, VA? For Weekend Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer jobs in Reston, VA look for? The top searched job categories for Weekend Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Weekend Data Engineer jobs? Cities near Reston, VA with the most Weekend Data Engineer job openings:
Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in Reston, VA as of May 2026, with employment types broken down into 88% Full Time, 3% Part Time, 2% Temporary, 5% Contract, and 2% Nights. Highlights an 60% Physical, 7% Hybrid, and 33% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.

Data Engineer

Guidehouse

Arlington, VA • On-site

$113K - $188K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

38th of 57 rated business consultants

Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:
Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. The ideal candidate will have hands-on experience with modern data engineering tools, cloud services, CI/CD, and version control, and will collaborate with cross-functional teams to deliver high-quality, scalable data solutions.

  • Design, develop, and maintain robust data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources.

  • Build and optimize data architectures and models to support analytics, reporting, and operational needs.

  • Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git.

  • Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions), and containerization (Docker, Kubernetes).

  • Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.

  • Ensure data quality, integrity, and security through rigorous validation, monitoring, and logging (e.g., Splunk, CloudWatch, Kibana).

  • Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption.

  • Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.

  • Document data flows, processes, and technical solutions for knowledge sharing and compliance.

  • Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps.


What You Will Need:

  • U.S. Citizenship/ Green Card is required.

  • A bachelor's degree is required.

  • Minimum of EIGHT (8) years of experience in data engineering, software development, or related roles.

  • Proficiency in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP).

  • Strong hands-on experience designing and developing data pipelines and ETL processes.

  • Extensive experience with relational and NoSQL databases, such as Oracle, MySQL, PostgreSQL, SQL Server, and MongoDB, including data modeling and stored procedure development.

  • Demonstrated experience with AWS cloud services, including S3, Redshift, Lambda, ECS, and SQS.

  • Experience working with Databricks and large-scale data processing environments.

  • Familiarity with containerization and orchestration technologies, including Docker and Kubernetes.

  • Experience with CI/CD tools and pipelines, such as Jenkins, Maven, Git, GitHub, and Bitbucket.

  • Hands-on experience with monitoring and logging tools, including Splunk, CloudWatch, Kibana, and Elasticsearch.

  • Proven experience operating in Agile development environments.

  • Familiarity with version control and collaboration tools, including Git, Jira, and Confluence.

  • Ability to work independently in a fast-paced environment.

  • Strong analytical and troubleshooting skills.

  • Excellent verbal and written communication skills, with the ability to clearly communicate complex technical concepts to diverse audiences.


What Would Be Nice To Have:

  • Experience supporting federal programs and/or large-scale data modernization projects.

  • Certifications in AWS, or other cloud/data engineering domains.

  • Experience with data visualization tools (e.g., Kibana, Tableau).

  • Familiarity with security best practices and compliance in federal environments.

  • Experience with microservices, Spring Boot, and integration of AI/ML components.

  • Previous consulting experience

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


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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