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Weekend Ai Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The work As a Data Engineer in this role, you will play a pivotal part in advancing operational AI adoption by building and optimizing a modern Hub-and-Spoke data architecture. Your responsibilities ...

Data Engineer

Arlington, VA

$131K - $158K/yr

The work As a Data Engineer in this role, you will play a pivotal part in advancing operational AI adoption by building and optimizing a modern Hub-and-Spoke data architecture. Your responsibilities ...

Databricks Data Engineer II

Arlington, VA · On-site

$131K - $158K/yr

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

As a Data Engineer, you will be instrumental in advancing operational AI adoption by designing and implementing modern data architectures and processing solutions. Responsibilities : • Design ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

As a Data Engineer, you will be responsible for building and optimizing data architectures to support AI adoption and ensure robust data management for mission-critical applications. Responsibilities ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

We specialize in delivering agentic AI and cloud computing solutions. Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data ...

Data Engineer

Reston, VA

$119K - $143K/yr

We specialize in delivering agentic AI and cloud computing solutions. Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

We specialize in delivering agentic AI and cloud computing solutions. Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data ...

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 ...

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

Leesburg, VA · On-site +1

$115K - $139K/yr

Anika Systems is seeking a skilled Data Engineer to design, build, and optimize scalable data ... Leverage AI-assisted development tools to accelerate pipeline development, testing, and ...

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Weekend Ai Data Engineer information

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 Virginia? The most popular types of Ai Data Engineer jobs in Virginia are:
What are popular job titles related to Weekend Ai Data Engineer jobs in Virginia? For Weekend Ai Data Engineer jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Weekend Ai Data Engineer jobs? Cities in Virginia with the most Weekend Ai Data Engineer job openings:
Data Engineer

$131K - $158K/yr

Other

Re-posted 13 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

50th of 451 rated business services


Job description

The work

As a Data Engineer in this role, you will play a pivotal part in advancing operational AI adoption by building and optimizing a modern Hub-and-Spoke data architecture. Your responsibilities will include designing and implementing distributed data processing solutions, developing streaming architectures, and constructing robust enterprise data layers to support mission-critical applications.

Key responsibilities:

  • Design, build, and maintain distributed data processing pipelines to support operational AI adoption
  • Develop and optimize streaming architectures for real-time and batch data ingestion and transformation
  • Implement and manage an Data Layer, ensuring robust data lineage and metadata management
  • Create and maintain AI-ready data pipelines that enable multi-source data fusion and analytics
  • Integrate and leverage technologies such as Spark, Kafka, Trino, ClickHouse, Iceberg, and OpenSearch within the data ecosystem
  • Collaborate with cross-functional teams to support mission applications, enterprise AI governance, and agentic AI systems
  • Ensure data pipelines are secure, scalable, and aligned with DevSecOps and cybersecurity best practices
  • Support continuous monitoring, observability, and scalable software delivery for mission-focused operational workflows
  • Contribute to the integration of AI, data engineering, platform engineering, and analytics within a modern Hub-and-Spoke architecture.
  • You will be tasked with ensuring comprehensive data lineage and metadata management, enabling AI-ready data pipelines, and facilitating multi-source data fusion to drive actionable insights
  • Your work will directly contribute to the integration of AI, DevSecOps, platform engineering, and cybersecurity within a scalable, continuously monitored environment

Here's what you need:

  • Experience in any the following:
    • Distributed data processing
    • Streaming architectures
    • Enterprise Data Layer implementation
    • Data lineage and metadata
    • AI-ready data pipelines
    • Multi-source data fusion

Nice to have:

  • Ability to collaborate across multidisciplinary teams and adapt to evolving enterprise AI governance and agentic AI system requirements will be essential for delivering scalable and resilient software solutions

Eligibility Requirements:

  • US Citizen 
  • Active TS/SCI Clearance

What Accenture Federal Services employees say

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Benefits

Hours and flexibility

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