1

Manager Ai Data Engineer Jobs in Virginia (NOW HIRING)

Lead Data Engineer

Rosslyn, VA · On-site

$130K - $156K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... risk and issue management * Experience delivering technology solutions within a software ...

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 ... Client Relationship Management: Build and maintain strong relationships with clients, acting as a ...

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your ... Client Relationship Management: Build and maintain strong relationships with clients, acting as a ...

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 ... Client Relationship Management: Build and maintain strong relationships with clients, acting as a ...

... managed data platforms and scalable compute patterns. * 2+ years of experience with structured ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

... managed data platforms and scalable compute patterns. * 2+ years of experience with structured ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. * Data Lake & Warehouse Engineering Manage ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. * Data Lake & Warehouse Engineering Manage ...

Data Engineer

Mclean, VA

$115K - $139K/yr

Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. * Data Lake & Warehouse Engineering Manage ...

ML Data Engineer

Sterling, VA · Remote

$100K - $150K/yr

ML Data Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is ...

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 ...

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 ...

Showing results 21-40

Manager Ai Data Engineer information

What is the difference between Manager Ai Data Engineer vs Data Scientist?

AspectManager Ai Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering, or related; certifications in cloud platforms or data toolsBachelor's/Master's in CS, Statistics, or related; certifications in data analysis or machine learning
Work EnvironmentLeads data engineering teams, manages data pipelines, and collaborates with AI teamsAnalyzes data, builds models, and interprets data insights
Employer & Industry UsageTech companies, finance, healthcare focusing on data infrastructure and AI projectsResearch institutions, tech firms, marketing, and analytics departments

The Manager Ai Data Engineer primarily oversees data engineering teams and infrastructure for AI projects, while Data Scientists focus on analyzing data and building predictive models. Both roles require strong technical skills, but their responsibilities differ in scope and focus within the data ecosystem.

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 Manager Ai Data Engineer jobs in Virginia? For Manager Ai Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Manager Ai Data Engineer jobs in Virginia look for? The top searched job categories for Manager Ai Data Engineer jobs in Virginia are:

Data & AI Integration Engineer - Mid-Level

Peraton

Reston, VA

$86K - $138K/yr

Full-time

Re-posted 4 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

50th of 223 rated it services


Job description

Responsibilities

Peraton is seeking a skilled and motivated Lead Data & AI Analyst / Engineer to join our organization to support Peraton corporate data and AI knowledge strategy. You will serve as a technical lead and subject matter expert, collaborating closely with corporate stakeholders, data architects, and cross-functional teams to deliver high-quality, secure, and data and knowledge products that further Peraton corporate growth and business acquisition processes.  This mid-level role is responsible for planning, coordinating, and managing the AI data foundation that powers Peraton's AI adoption initiatives - ensuring that the right data is available, governed, trusted, and accessible for the right analytical and AI-driven purposes.

Key Responsibilities:

Data Planning & Architecture

  • Define, document and maintain the AI and data requirements and quality standards for Corporate Growth & Business Operations - both structured and unstructured data
  • Define and document data domain models, entity relationships, and data flow diagrams across source systems (CRM, ERP, HRIS, proposal repositories, contract vehicles)
  • Work within the CIO-managed data catalog to ensure Growth & Business Operations data assets are properly inventoried, normalized, classified, tagged by domain and sensitivity, and discoverable by authorized AI consumers
  • Participate in enterprise data governance forums and represent the AI and data requirements, priorities on CIO managed data assets.
  • Partner with the CIO office to define and enforce data quality standards - including completeness, accuracy, timeliness, and consistency scoring - for data assets feeding AI workflows

Data Integration, Engineering & Pipeline Development

  • Develop and manage AI-specific data pipelines to CIO managed lakehouse/warehouse environments
  • Collaborate with IRAD engineers to integrate data pipelines into the broader AI platform infrastructure
  • Coordinate with the CIO office to define data access patterns, API contracts, and export/query interfaces that allow AI workloads to consume enterprise data efficiently and securely
  • Implement data versioning and lineage tracking at the AI consumption layer to ensure full traceability from CIO-managed source to AI-generated output
Qualifications

Required Qualifications:

  • Bachelor's degree in computer science, Data Science, Information Systems, Mathematics, Statistics, Engineering, or a closely related field
  • 5-7 years of progressive, hands-on experience in data analytics, data engineering, or a closely related discipline
  • Demonstrated experience delivering data solutions in support of government, defense, or large-scale enterprise programs
  • SQL & Databases: Strong command of SQL and experience with relational databases (e.g., PostgreSQL, Microsoft SQL Server)
  • ETL / ELT Pipelines: Hands-on experience designing and implementing data pipelines using tools such as Apache Airflow, Informatica, Talend, dbt, or equivalent
  • Cloud Platforms: Experience with AWS, Microsoft Azure, including managed data services (Azure Synapse, BigQuery)
  • BI & Visualization: Proficiency with Power BI, Alteryx, or equivalent business intelligence tools
  • Data Warehousing: Familiarity with data warehousing concepts, dimensional modeling, and data lake architecture (ADLS, ADF)
  • Must be a US citizen willing to obtain and maintain a TS/SCI security clearance

Desired Qualifications:

  • Experience navigating shared infrastructure models - consuming centrally managed data platforms without owning the underlying infrastructure
  • Prior experience working with or alongside a CIO office or enterprise IT governance function in a consumer/integrator capacity
  • Knowledge of NIST AI Risk Management Framework (AI RMF) and its data-related implications
  • Relevant certifications: Microsoft Certified: Azure Data Engineer Associate, dbt Certified Developer, CDMP (Certified Data Management Professional), or equivalent
  • Active TS/SCI security clearance
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

What Peraton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Peraton logo

About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017