IT Data Engineer

Peraton•Bethesda, MD

8d•$80,000 - $128,000•Remote

About The Position

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

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
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.
Develop dashboards and reports using BI tools (Power BI, Tableau, Qlik, etc.).
Collaborate with stakeholders to translate business needs into meaningful visualizations.
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).
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.