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Weekend Data Engineering Jobs in Washington (NOW HIRING)

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Collaborate with engineering teams to improve data quality, pipeline reliability, scalability, and overall system performance. * Develop and maintain cloud-based data solutions within AWS ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

You will leverage your understanding of data engineering principles, best practices, and technologies to deliver efficient and scalable solutions.Responsibilities:Design and develop data pipelines ...

Data Engineer

Herndon, VA

$117K - $141K/yr

You will leverage your understanding of data engineering principles, best practices, and technologies to deliver efficient and scalable solutions. Responsibilities: * Design and develop data ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

You will leverage your understanding of data engineering principles, best practices, and technologies to deliver efficient and scalable solutions. Responsibilities: * Design and develop data ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar

Senior Data Scientist

Washington, DC · On-site

$155K - $170K/yr

Work 40 hours a week but potentially work late night shifts and weekends at times to cover ... Apply knowledge in the domain of engineering and operations research to optimize NAS strategic ...

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. *Active TS/SCI FSP is required to start* Key Responsibilities: * Write robust and ...

DATA ENGINEER

Washington, DC · On-site

$129K - $155K/yr

Maintain technical documentation Required Qualifications * 2-3 years of experience in data engineering or analytics * Strong SQL skills * Basic Python knowledge * Understanding of ETL concepts

DATA ENGINEER

Washington, DC · On-site

$129K - $155K/yr

Maintain technical documentation Required Qualifications * 2-3 years of experience in data engineering or analytics * Strong SQL skills * Basic Python knowledge * Understanding of ETL concepts

... and weekends at times to cover overnight and weekend data modeling needs • Document the FAA ... Computer Science, Mathematics, Statistics, Data Science or Engineering) or related field Preferred ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ...

Data Engineer

Falls Church, VA · Hybrid

$81K - $105K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Governance, Python Software Development, SQL Query Development, Unstructured Data Certifications: None Experience: 2 + years of ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources * Build and optimize data workflows ...

Showing results 21-40

Weekend Data Engineering information

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.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as companies seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark remain valuable, and many organizations require support during weekends to ensure continuous data operations.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.

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:

Data Engineer

Chantilly, VA • On-site

$118K - $142K/yr

Full-time

Re-posted 17 days ago


Job description

Join NS2 Mission and help build the data solutions that power mission-critical operations. Our team is seeking a Data Engineer to join our growing engineering team in Chantilly, VA, where you'll develop and maintain scalable data pipelines, support cloud-based data platforms, and help transform complex data into actionable insights.

Working within an Agile environment, you'll collaborate with software engineers, data engineers, and mission stakeholders to design, develop, and optimize data solutions that support evolving mission needs. This is an excellent opportunity for a hands-on engineer looking to expand their expertise in modern data engineering technologies while contributing to impactful national security programs.

Key Responsibilities
  • Design, develop, and maintain scalable ETL pipelines and enterprise data workflows.
  • Build and enhance Python-based data processing solutions supporting production environments.
  • Support the ingestion, transformation, and movement of structured and unstructured data across multiple platforms.
  • Collaborate with engineering teams to improve data quality, pipeline reliability, scalability, and overall system performance.
  • Develop and maintain cloud-based data solutions within AWS environments.
  • Participate in Agile development activities, including sprint planning, technical discussions, and solution implementation.
  • Troubleshoot data pipeline issues and support the resolution of operational challenges.
  • Contribute to the modernization and automation of data engineering processes and workflows.
  • Assist with testing, deployment, and sustainment activities across the data platform.
  • Document technical solutions, processes, and data workflows to support maintainability and knowledge sharing.
Required Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related technical discipline (or equivalent combination of education and experience).
  • Approximately 4-8 years of experience in data engineering, software engineering, or a related technical field.
  • Experience working across the ETL lifecycle, including pipeline development, optimization, and maintenance.
  • Strong proficiency in Python for data processing and application development.
  • Hands-on experience working within AWS cloud environments, including services such as EC2, Lambda, EKS, and S3.
  • Experience developing and supporting scalable data solutions in production environments.
  • Understanding of data engineering best practices, data modeling concepts, and performance optimization techniques.
  • Experience working within Agile development teams.
Preferred Qualifications
  • Experience with workflow orchestration tools such as Apache Airflow.
  • Experience with containerization technologies including Docker and Kubernetes.
  • Experience with Infrastructure as Code tools such as Terraform.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Experience working with large datasets and distributed data processing frameworks.
  • Strong analytical and troubleshooting skills with the ability to solve complex technical challenges.
What We're Looking For
  • A hands-on Data Engineer who enjoys building and optimizing data pipelines and cloud-based data solutions.
  • Someone comfortable working independently while collaborating closely with a cross-functional engineering team.
  • A candidate with strong Python and ETL experience who can contribute quickly to ongoing data engineering initiatives.
  • An engineer who is eager to learn, adapt to new technologies, and support continuous improvement efforts.
  • Someone who enjoys solving complex data challenges and contributing to mission-driven technical solutions.

Position Clearance Requirement:

TS/SCI with an FSP

Please be aware, many of our positions require the ability to obtain or maintain a U.S security clearance which requires U.S citizenship

We win with inclusion

NS2 Mission’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At NS2 Mission, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

NS2 Mission is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with NS2 Mission and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: NS2Mission.Careers@sapns2.com.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.