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Weekend Ai Data Engineer Jobs in Reston, VA (NOW HIRING)

BigBear.ai

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national ... They are seeking a highly skilled and motivated Data Engineer to join their Data Architecture ...

Spear AI

Mission Data Engineer

Washington, DC

$129K - $155K/yr

Data Engineer - Spear AI Location: On-site, Washington, DC Clearance Required: Secret (active) Employment Type: Full-time, salaried, benefits-eligible About Spear AI: Spear AI delivers cutting-edge ...

Bigbear.ai

Data Engineer, Staff

Washington, DC · On-site

$125K - $150K/yr

Overview BigBear.ai is seeking a Data Engineer to conduct design, implement, and operate data management systems for intelligence needs. The successful candidate will design how data will be stored ...

BigBear.ai

Data Engineer, Staff

Washington, DC · On-site

$129K - $155K/yr

Overview BigBear.ai is seeking a Data Engineer to conduct design, implement, and operate data management systems for intelligence needs. The successful candidate will design how data will be stored ...

MANTECH

Data Engineer with Security Clearance

Washington, DC · On-site

$129K - $155K/yr

MANTECH seeks a motivated, career, and customer-oriented Data Engineer for a new initiative within ... Develop and maintain AI-ready data pipelines and capabilities for multi-source data fusion.

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Deloitte

Palantir AI and Data Science Engineer

Rosslyn, VA

$130K - $156K/yr

Work you'll do As an AI and Data Science Engineer on the AI & Data team, you will be responsible for... * Designing modern data architecture, data pipelines, and workflows using Palantir Foundry and ...

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$86K - $176K/yr

The work As a Data Engineer in this role, you will play a pivotal part in advancing operational AI ... Create and maintain AI-ready data pipelines that enable multi-source data fusion and analytics

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$116K - $243K/yr

The work As a Data Engineer in this role, you will play a pivotal part in advancing operational AI ... Create and maintain AI-ready data pipelines that enable multi-source data fusion and analytics

Accenture Federal Services

Data Engineer

Alexandria, VA · On-site

$243K/yr

The work As a Data Engineer in this role, you will play a pivotal part in advancing operational AI ... Create and maintain AI-ready data pipelines that enable multi-source data fusion and analytics

Accenture Federal Services

Data Engineer

Alexandria, VA · On-site

$176K/yr

The work As a Data Engineer in this role, you will play a pivotal part in advancing operational AI ... Create and maintain AI-ready data pipelines that enable multi-source data fusion and analytics

ManTech International

Data Engineer

Washington, DC · On-site

$141K - $236K/yr

MANTECH seeks a motivated, career, and customer-oriented Data Engineer for a new initiative within ... Develop and maintain AI-ready data pipelines and capabilities for multi-source data fusion.

ManTech

Data Engineer

Washington, DC

$141K - $236K/yr

MANTECH seeks a motivated, career, and customer-oriented Data Engineer for a new initiative within ... Develop and maintain AI-ready data pipelines and capabilities for multi-source data fusion.

Deloitte

Agentic AI, AI & Data Science Engineer

Mclean, VA

$115K - $139K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. Working within an ...

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All JobsAi Data Engineer JobsWeekend Ai Data Engineer JobsWeekend Ai Data Engineer Jobs in Reston, VA

Weekend Ai Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do weekend ai data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for weekend ai data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Ai Data Engineer vs Weekend Data Engineer?

AspectWeekend Ai Data EngineerWeekend Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; familiarity with AI/ML toolsBachelor's in CS, Data Science, or related field; basic data engineering skills
Work EnvironmentProjects involving AI/ML models, data pipelines for AI applicationsGeneral data processing, ETL tasks, data pipeline setup
Employer & Industry UsageTech companies, AI startups, research institutionsVarious industries including finance, healthcare, e-commerce
Common Search & ComparisonOften compared for specialization in AI data tasksBroader data engineering roles

The Weekend Ai Data Engineer focuses on building data pipelines and models specifically for AI and machine learning applications, requiring knowledge of AI tools. In contrast, the Weekend Data Engineer handles general data processing tasks across various industries. Both roles share similar educational backgrounds but differ in their focus and project types.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI research director or senior data scientist, that offers a total compensation package including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.

What engineer makes $500,000 a year?

Senior data engineers, especially those with expertise in AI, machine learning, and cloud platforms, can earn $500,000 or more annually in high-demand industries. Achieving this level typically requires extensive experience, advanced skills, and often leadership responsibilities or specialized certifications.

Do data engineers work on weekends?

Data engineers, including those working as weekend AI data engineers, typically follow a standard workweek but may work on weekends if project deadlines, system maintenance, or urgent issues require it. Flexibility in scheduling can vary depending on the employer and specific job responsibilities, especially in roles involving real-time data processing or 24/7 systems. However, many data engineering roles are primarily Monday through Friday with occasional weekend work.

Which 3 jobs will survive AI?

For a Weekend AI Data Engineer, roles that require complex problem-solving, creativity, and human judgment are most likely to survive AI automation. These include jobs like data scientists, AI specialists, and cybersecurity analysts, which involve designing, managing, and securing AI systems. Skills in critical thinking, domain expertise, and adaptability will remain valuable in these fields.
What are the most commonly searched types of Ai Data Engineer jobs in Reston, VA? The most popular types of Ai Data Engineer jobs in Reston, VA are:
What are popular job titles related to Weekend Ai Data Engineer jobs in Reston, VA? For Weekend Ai Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Weekend Ai Data Engineer jobs in Reston, VA look for? The top searched job categories for Weekend Ai Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Weekend Ai Data Engineer jobs? Cities near Reston, VA with the most Weekend Ai Data Engineer job openings:
Weekend Ai Data Engineer jobs near you
Data Engineer

Data Engineer

BigBear.ai

Washington, DC • On-site

$129K - $155K/yr

Full-time

Re-posted 29 days ago

Job description

Job Summary:
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. They are seeking a highly skilled and motivated Data Engineer to join their Data Architecture & Engineering team, responsible for designing and building scalable data pipelines that transform raw data into actionable insights.
Responsibilities:
• Design and develop end-to-end data pipelines that support ingestion, transformation, and delivery of structured and unstructured data using tools and frameworks aligned with ETL architecture best practices.
• Build and maintain ETL processes that ensure data quality, consistency, and performance across multiple environments.
• Integrate data pipelines with Amazon Web Services (AWS), leveraging services such as S3, Lambda, Glue, and Redshift to enable scalable and secure data processing.
• Develop and maintain schemas, data dictionaries, and transformation logic to support robust data architecture and documentation.
• Manage and monitor production datasets, ensuring fault tolerance, redundancy, and data integrity across systems.
• Collaborate with cross-functional teams to design and launch new data features, including documentation of dataflows, capabilities, and technical support procedures.
• Support database management and administration tasks such as performance tuning, indexing, and access control.
• Apply Agile software development practices to deliver iterative improvements and respond to evolving data needs.
• Develop and integrate APIs to support data access and interoperability across systems.
• Work with cloud messaging APIs and implement push notification mechanisms where applicable.
• Continuously explore and adopt new tools, technologies, and methods to improve data engineering practices and support mission-driven outcomes.
Qualifications:
Required:
• Clearance: Must possess and maintain a TS-SCI clearance
• Bachelor’s degree in computer science, Engineering, Information Systems, or a related field
• 4-8 years of relevant experience in data engineering, ETL development, or database administration
• Proficiency in Amazon Web Services (AWS) and cloud-based data integration
• Strong experience with ETL architecture, data pipeline development, and end-to-end data processing
• Solid understanding of database management, including schema design, indexing, and optimization
• Experience with API development and integration
• Ability to manage and transform raw data into usable formats for analytics and reporting
• Familiarity with Agile methodologies and collaborative development environments
• Strong problem-solving skills, attention to detail, and ability to provide technical support for data systems
Preferred:
• Experience with cloud messaging APIs and push notification systems
• Hands-on experience with database administration and performance tuning
• Keen interest in learning and applying the latest data tools and technologies to solve real-world problems
• Experience supporting technical support functions related to data infrastructure
• Familiarity with national security or mission-driven data environments
Company:
BigBear.ai's mission is to deliver clarity for the world's most complex decisions. Founded in 2020, the company is headquartered in Fairfax, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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