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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 ...

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Google Data Engineering Consultant

Rosslyn, VA · On-site

$130K - $156K/yr

The Data Engineer II will help design, develop, test, and deploy data pipelines, platform components, and AI-enabled solutions that are scalable, secure, and reliable. This role works with engineers ...

Manager, Data Engineering Remote Location: Boston, MA; Austin, TX; or Washington, DC Position Summary HackerOne is seeking a Manager to lead Applied Data Engineering on our DataOne team. You will ...

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

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 ...

Data Engineer

Arlington, VA · On-site

$130K - $157K/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

Arlington, VA · On-site

$130K - $157K/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

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 ...

Software and Data Engineering

Rockville, MD

$116K - $140K/yr

Software and Data Engineering Job Overview We are looking for a Software Engineer with a strong understanding of databases and integration to work with our product team on a cutting-edge healthcare ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Required : • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent relevant experience • 5+ years of experience developing big data or data engineering solutions ...

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 ...

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Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Support cloud-based data engineering solutions in AWS , including storage and data service integration * Collaborate with engineers, architects, analysts, and stakeholders to implement technical ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Support cloud-based data engineering solutions in AWS , including storage and data service integration * Collaborate with engineers, architects, analysts, and stakeholders to implement technical ...

... 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 $500,000?

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

Will AI replace ETL?

AI can automate parts of the ETL (Extract, Transform, Load) process, improving efficiency and reducing manual effort for data engineers. However, human oversight is still essential for designing, monitoring, and troubleshooting complex data workflows, so AI is more of a complement than a complete replacement for ETL roles.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and tools such as Apache Spark and Hadoop enhance employability in this field.

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 15 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

46th of 428 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 

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