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Ai Data Developer Jobs in Virginia (NOW HIRING)

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 ...

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

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 ...

Sr Databricks Data Engineer

Mclean, VA

$115K - $139K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

Sr Databricks Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

Sr Databricks Data Engineer

Rosslyn, VA · On-site

$130K - $156K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

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 operational AI adoption and ensuring robust data processing solutions. Responsibilities : • ...

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 ...

AI/Data Solutions Architect

Ashburn, VA · On-site

$173K - $220K/yr

This role sits at the intersection of technical strategy, solution engineering, and organizational ... Develop end-to-end data and AI architectures, including data pipelines, ML platforms, integration ...

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Ai Data Developer information

What is the difference between Ai Data Developer vs Data Scientist?

AspectAi Data DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI solutions into applicationsAnalyzes data, builds predictive models, interprets data trends
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.

What are popular job titles related to Ai Data Developer jobs in Virginia? For Ai Data Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Data Developer jobs in Virginia look for? The top searched job categories for Ai Data Developer jobs in Virginia are:
What cities in Virginia are hiring for Ai Data Developer jobs? Cities in Virginia with the most Ai Data Developer job openings:
Data Engineer

$131K - $158K/yr

Other

Posted 5 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

45th of 426 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

Pay

Benefits

Hours and flexibility

Workplace

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