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Weekend Data Engineering Jobs in Washington (NOW HIRING)

Data Engineering Lead

Arlington, VA · On-site

$131K - $158K/yr

The Data Engineer will design, build, and maintain the core client data infrastructure and pipelines necessary to ingest, process, store, and transform data for various consumers. Develop and operate ...

Data Engineering Specialist

Washington, DC · On-site +1

$95K - $112K/yr

Data Engineer is a key role on a centralized data engineering team that supports a wide range of data applications across the organization.This role focuses on building and maintaining reliable ...

Title and Summary Manager, Data Engineering Overview: Mastercard Services Technology is seeking a Manager, Data Engineering to lead the delivery of data solutions that power client engagements across ...

Databricks Data Engineering Manager

Arlington, VA · On-site

$131K - $158K/yr

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients ...

Databricks Data Engineering Manager

Rosslyn, VA · On-site

$130K - $156K/yr

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Collaborate with software engineering teams to clean, migrate, and replicate data into and within ... Occasional evening or weekend work may be required to support critical deliverables Preferred ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

You exhibit excellent knowledge of data engineering disciplines, including experience working with large datasets in a Python/SQL environment. You will also have hands-on knowledge of the latest 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

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

You exhibit excellent knowledge of data engineering disciplines, including experience working with large datasets in a Python/SQL environment. You will also have hands-on knowledge of the latest 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 ...

... 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 ...

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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:
Data Engineering Lead

Data Engineering Lead

Accenture Federal Services

Arlington, VA • On-site

$131K - $158K/yr

Other

Posted 6 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

48th of 442 rated business services


Job description

Job Description

The Data Engineer will design, build, and maintain the core client data infrastructure and pipelines necessary to ingest, process, store, and transform data for various consumers. Develop and operate automated, end-to-end data pipelines, create and maintain data models and schemas, and contribute to the overall scalability, reliability, and security of the data platform. Implement data processing frameworks and technologies, design and optimize data storage solutions, and develop data transformation logic to support analytics requirements. Implement data quality checks and validation procedures, establish data lineage tracking mechanisms, and troubleshoot data pipeline issues. Collaborate with data scientists and analysts to understand data requirements, work with security teams to implement data protection measures, and stay current with data engineering technologies and best practices. Document data architecture and pipelines, participate in data governance activities, and contribute to continuous improvement of data engineering processes.

Must have:

  • 8 years of experience in data engineering, data pipeline design, and management
  • Must meet DoD 8140 requirements
  • Bachelor's degree (or 4 years of additional equivalent experience) in IT, Cybersecurity, Computer Science, Information Systems, Data Science, Software Engineering

Security Clearance:

  • Active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance required, depending on position 

What Accenture Federal Services employees say

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