Data & AI Integration Engineer - Mid-Level

Posted 2 Days Ago
Be an Early Applicant
3 Locations
In-Office
86K-138K Annually
Senior level
Aerospace • Information Technology • Security • Cybersecurity • Defense
Do the can't be done.
The Role
Designs and manages enterprise AI data foundations, including data models, governance, quality standards, pipelines, integrations, access patterns, versioning, and lineage. Partners with CIO, data architecture, and engineering teams to make structured and unstructured data secure, trusted, discoverable, and accessible for AI and analytical workloads. Requires hands-on experience with SQL, databases, ETL/ELT, cloud data platforms, business intelligence, data warehousing, and lakehouse architectures in government, defense, or large enterprise environments.
Summary Generated by Built In
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.

Skills Required

  • 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 related discipline
  • Experience delivering data solutions for government, defense, or large-scale enterprise programs
  • Strong SQL skills and experience with relational databases such as PostgreSQL or Microsoft SQL Server
  • Hands-on experience designing and implementing ETL/ELT pipelines using Apache Airflow, Informatica, Talend, dbt, or equivalent tools
  • Experience with AWS and Microsoft Azure, including managed data services such as Azure Synapse or BigQuery
  • Proficiency with Power BI, Alteryx, or equivalent business intelligence tools
  • Familiarity with data warehousing, dimensional modeling, and data lake architecture, including ADLS and ADF
  • Must be a U.S. citizen willing to obtain and maintain a TS/SCI security clearance
  • Experience working with shared infrastructure models and centrally managed data platforms
  • Experience working with or alongside a CIO office or enterprise IT governance function
  • Knowledge of the NIST AI Risk Management Framework and data-related implications
  • Microsoft Certified Azure Data Engineer Associate, dbt Certified Developer, CDMP, or equivalent certification
  • Active TS/SCI security clearance

Peraton Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Peraton and has not been reviewed or approved by Peraton.

  • Healthcare Strength Healthcare offerings are described as broad, including medical, dental, vision, mental health support, and specialty programs like virtual physical therapy and surgical/cancer care navigation. Medical coverage is also characterized as a standout part of the overall package in terms of perceived quality.
  • Retirement Support Retirement support includes a 401(k) with employer matching and is repeatedly positioned as a strong component of total rewards. The 401(k) benefit is frequently singled out as one of the most valued parts of the package.
  • Leave & Time Off Breadth Time-off benefits are positioned as robust, including PTO, holidays, paid sick days, and floating holidays, with some roles offering notably generous accrual. Leave breadth is reinforced by related programs such as short/long-term disability and bereavement leave.

Peraton Insights

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The Company
HQ: Reston, VA
18,000 Employees
Year Founded: 2017

What We Do

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.

Why Work With Us

We are fearlessly solving the world’s most complex challenges to keep people safe and secure. You can be a part of protecting and promoting that freedom around the world.

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