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Weekend Data Engineering Jobs in Washington (NOW HIRING)

Guidehouse

Data Engineer

Arlington, VA

$113K - $188K/yr

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 ...

Guidehouse

Data Engineer

Mclean, VA

$102K - $170K/yr

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 ...

Guidehouse

Data Engineer

Arlington, VA · On-site

$113K - $188K/yr

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 ...

Guidehouse

Data Engineer

Arlington, VA

$113K - $188K/yr

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 ...

IT America Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Strong experience in Data Engineering with hands-on development of ETL/ELT workflows. * Expertise in Python, SQL, and Spark (PySpark/Scala). * Proficiency in AWS Cloud Services (S3, Redshift, EMR ...

Bixal

Data Engineer

Fairfax, VA · On-site +1

$130K - $135K/yr

... operating day during the weekend or holidays. Why Bixal? Bixal is a consulting company ... Serve as a subject matter expert (SME) for data engineering, providing technical guidance and ...

The Josef Group

Enterprise Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes. Key Responsibilities: · Write robust and efficient Python and SQL scripts to automate ...

Bespoke Technologies, Inc

Enterprise Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes. Key Responsibilities: * Write robust and efficient Python and SQL scripts to automate ...

Woodgrove Solutions LLC

Data Engineer

Vienna, VA · On-site

$90K - $170K/yr

Woodgrove Solutions, LLC (Woodgrove) is leading-edge Management and Technology Services firm providing data engineering, analytics, and advisory services to both the Corporate and Federal sectors.

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience) * Experience working across cloud (AWS, Azure) or hybrid data ...

AnaVation LLC

Data Engineer

Hanover, MD · On-site

$112K - $135K/yr

... on data engineering, integration, and migration projects, contributing to innovative solutions in a collaborative environment. Qualifications : Required : • Top Secret Clearance • Bachelor ...

Cornerstone Defense

Chief Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

The ideal candidate will have a strong background in data engineering and integration, with a focus on normalizing data from diverse sources for advanced analytical methodologies. The Data Engineer ...

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Weekend Data Engineering information

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized knowledge, and working in competitive industries or organizations with high data demands.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

Do data engineers work on weekends?

Data engineers typically work regular business hours during weekdays, but they may work on weekends if project deadlines, system maintenance, or incident responses require it. Flexibility and availability during off-hours can be important, especially in environments with 24/7 data operations or real-time data processing needs.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1 million annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
What are the most commonly searched types of Data Engineering jobs in Washington? The most popular types of Data Engineering jobs in Washington are:
What cities in Washington are hiring for Weekend Data Engineering jobs? Cities in Washington with the most Weekend Data Engineering job openings:
Weekend Data Engineering jobs near you
Data Engineer

Data Engineer

Guidehouse

Arlington, VA

$113K - $188K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 5 days ago

Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 58 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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