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Weekend Data Engineering Jobs in Washington (NOW HIRING)

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117.20K - $140.80K/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 ...

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

$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 · 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 · 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

$115.70K - $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 ...

Chenega Mios

Data Engineer, Sr.

Reston, VA · On-site

$119.10K - $143K/yr

Lead and contribute to all aspects of data engineering activities within the software development life cycle, including the development of applicable technical documentation * Lead and participate in ...

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 ...

Guidehouse

Data Engineer

Mclean, VA · On-site

$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 ...

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Weekend Data Engineering information

Do data engineers work weekends?

Data engineers typically work standard weekday hours, but they may need to work weekends or outside regular hours to meet project deadlines, perform system maintenance, or address urgent issues. Flexibility is often required, especially in environments with 24/7 data operations or during critical system updates.

What engineering jobs pay $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. High-level roles in technology companies or finance firms tend to offer these compensation levels for top-tier talent.

What jobs in the US pay $300,000 a year?

In data engineering, senior roles such as Lead Data Engineer or Data Engineering Manager can reach or exceed $300,000 annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High-level positions in finance, technology, and consulting also often pay this amount or more, typically requiring specialized expertise and leadership responsibilities.

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 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

Technical Director (Hands-On Software & Data Engineering)

Primastep LLC

Washington, DC • Hybrid

$129.70K - $155.70K/yr

Full-time

Posted 24 days ago

Job description

Job Description

ROLE OVERVIEW:

You will be a hands‑on software and data engineer supporting United States Air Force programs. The ideal candidate can write code daily, apply data analytics to complex datasets, and effectively communicate technical approaches with senior Air Force stakeholders. This role does not start as a people‑management position, but requires a strong technical background and DoD experience.

KEY RESPONSIBILITIES:

  • Write, maintain, and deploy code supporting software and data tools
  • Build data pipelines, transform data, and automate workflows
  • Generate analytical insights from large, complex datasets
  • Create dashboards or visualizations that inform decisions
  • Maintain strict adherence to classification and data handling requirements
  • Collaborate with technical and non‑technical stakeholders
  • Ensure documentation reflects classification and technical compliance
Qualifications

REQUIRED QUALIFICATIONS:

Clearance & Security

  • Active Top Secret with SCI eligibility (required prior to start)

Technical Skills

  • Minimum 10 years of professional experience in software engineering and/or data engineering
  • Practical experience with at least one high‑level programming language used in DoD environments (e.g., Python, Java, C#) with code samples or demonstrable work
  • Strong data engineering and analytics experience (SQL, ETL, data pipelines)
  • Experience with relational databases and querying large datasets
  • Experience with data visualization tools (e.g., Power BI, Tableau, Python visualization libraries)
  • Experience in CI/CD workflows (build/test/deploy automation)
  • Familiarity with basic software engineering best practices (version control, unit testing)

Operational & DoD Context

  • Experience working in DoD or cleared contractor environments
  • Ability to communicate technical approaches and status to senior stakeholders

DESIRED QUALIFICATIONS (nice‑to‑have)

  • Experience with classification guidance or classification compliance workflows (including Security Classification Guides)
  • Experience with UNIX/Linux environments
  • Experience in cloud platforms commonly used in DoD (e.g., AWS GovCloud, Azure Government)
  • Experience with modern data tooling (Python libraries, Airflow, dbt, Spark)
  • Background in cross‑functional technical problem solving with hybrid software + analytics focus
  • Master’s degree in Computer Science, Data Science, Engineering, or related field

Additional Information
  • Location:  Washington, DC 20330 (Pentagon)
  • Employment:  Full‑Time, W‑2
  • Work Style:  On‑site required (3–4 days/week)
  • Clearance:  Top Secret / SCI eligibility required