IT Data Engineer

Peraton; Bethesda (MD); Hybrid; USD 80,000 - 128,000; Full time

Job summary

Peraton is seeking an IT Data Engineer to design, build, and maintain secure data solutions for a NIST 800-53 compliant enclave supporting the FAA BNATCS contract. You will develop ETL/ELT pipelines, manage data warehouses, and build dashboards with BI tools while collaborating with cybersecurity and compliance teams to meet federal standards.

The role requires a Bachelor’s degree (Master’s preferred), 5 years in data engineering, and experience with cloud platforms like Azure Synapse, Redshift,

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s preferred).
• 5 years of data engineering experience with integrations, warehousing, and visualization.
• Strong knowledge of NIST 800-53, FISMA, FedRAMP compliance.
• Proficiency in SQL, Python, and ETL/ELT tools.
• Experience with cloud data platforms (Azure Synapse, AWS Redshift, BigQuery).
• Familiarity with BI tools and data modeling; ability to obtain Public Trust.

Responsibilities

• Design, build, and maintain secure data solutions for a NIST 800-53 enclave.
• Develop and manage ETL/ELT pipelines across sources and environments.
• Architect secure data warehouses (on‑premises or cloud) and optimize storage.
• Create dashboards/reports using BI tools and translate business needs into visuals.
• Collaborate with cybersecurity, compliance, and BI teams to ensure standards.

Skills

SQL

Python

ETL/ELT

Analytical skills

Problem-solving

Documentation

Education

Bachelor's degree in Computer Science or Information Systems

Master's degree preferred

Tools

SSIS

Informatica

Talend

dbt

Azure Synapse

AWS Redshift

Google BigQuery

Power BI

Tableau

Qlik

Job description

Responsibilities

We are seeking a highly skilled IT Data Engineer to design, build, and maintain secure data solutions within a NIST 800-53 compliant enclave in support of the FAA BNATCS contract. This role is responsible for developing and managing data integrations, building visualizations, and optimizing data warehouse storage to support analytics and mission‑critical reporting. The Data Engineer will collaborate with cybersecurity, compliance, and business intelligence teams to ensure that all data systems meet federal security standards while enabling actionable insights.

Key Responsibilities

Data Integration

• Design and implement ETL/ELT pipelines to integrate data from multiple sources into secure environments.
• Ensure data flows comply with NIST 800-53 security controls and organizational policies.
• Automate data ingestion and transformation processes for efficiency and scalability.
• Familiarity with Mulesoft and other data integration tools.

Data Warehouse & Storage

• Architect and maintain secure data warehouse solutions (on‑premises and/or cloud).
• Optimize storage, indexing, and query performance for large‑scale datasets.
• Implement encryption, access controls, and monitoring in line with NIST 800-53 requirements.

Data Visualization & Analytics

• Develop dashboards and reports using BI tools (Power BI, Tableau, Qlik, etc.).
• Collaborate with stakeholders to translate business needs into meaningful visualizations.
• Ensure reporting solutions meet compliance and security standards.

Security & Compliance

• Integrate NIST 800-53 security controls into all data engineering processes.
• Partner with cybersecurity teams to ensure secure configurations and continuous monitoring.
• Support audits, assessments, and accreditation processes (e.g., FISMA, FedRAMP).

Collaboration & Leadership

• Work closely with data scientists, analysts, and business units to deliver secure, reliable data solutions.
• Provide technical guidance on data engineering best practices in regulated environments.
• Document processes, configurations, and compliance evidence for internal and external reviews.

* This position is contingent upon Peraton being awarded the associated contract *

Qualifications

Required Qualifications

• A minimum of a Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s preferred).
• 5 years of experience (3 w/ Master’s Degree) in data engineering, with focus on integrations, warehousing, and visualization.
• Strong knowledge of NIST 800-53 security controls and compliance frameworks (FISMA, FedRAMP).
• Expertise in SQL, Python, and ETL/ELT tools (SSIS, Informatica, Talend, dbt).
• Experience with cloud data platforms (Azure Synapse, AWS Redshift, Google BigQuery) and hybrid architectures.
• Familiarity with BI tools (Power BI, Tableau, Qlik) and data modeling techniques.
• Professional certifications such as CISSP, CISM, or cloud data engineering certifications are highly desirable.
• Must have the ability to obtain/maintain a Public Trust
• This is a remote capable role, however, candidates must reside within the NoVA (DMV) local area.

Preferred Qualifications

• Ability to translate regulatory requirements into technical solutions.
• Strong analytical and problem‑solving skills.
• Excellent communication and documentation abilities.
• Experience working in federal or regulated environments.

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

$80,000 – $128,000. 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.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.