Cleared Onsite Data Engineer (4955) jobs in United States
cer-icon
Apply on Employer Site
company-logo

SMX · 4 hours ago

Cleared Onsite Data Engineer (4955)

SMX is seeking a Data Engineer to provide strategic and technical leadership for enterprise data architecture and analytics modernization efforts within the FBI’s Human Resources Reports Program. This role involves designing, optimizing, and overseeing data solutions that enable advanced analytics and reporting capabilities across secure environments.

AnalyticsCloud ComputingCloud Data ServicesCloud SecurityCyber SecurityInformation TechnologyIT ManagementSoftware
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Lead the design and implementation of enterprise data architectures supporting analytical, operational, and reporting workloads
Develop and maintain data models, metadata standards, and integration strategies to ensure scalability, reliability, and data integrity across systems
Collaborate with data engineers, developers, and analysts to define data pipelines, warehouse structures, and schema management practices
Evaluate and recommend tools, technologies, and cloud services (AWS, Redshift, Glue, Athena, etc.) to support evolving mission and security requirements
Provide architectural oversight for ETL/ELT processes, data quality frameworks, and governance policies
Partner with program leadership and government stakeholders to translate business objectives into actionable data solutions
Support modernization of legacy data systems and migration toward cloud-based, event-driven architectures
Mentor technical staff and promote best practices for secure, efficient data engineering and analytics
Stay abreast of emerging trends in data architecture, AI/ML integration, and federal data management standards

Qualification

Data architectureData warehousingETL/ELT frameworksAWS data ecosystemSQLData governanceData modelingBI/reporting solutionsAnalytical skillsAgile environmentPythonAI/ML pipelinesData catalogingAWS Certified Solutions ArchitectCommunicationProblem-solving skillsMentoring

Required

8+ years of experience in data architecture, data warehousing, or enterprise analytics systems
Expert-level proficiency in SQL and data modeling
Hands-on experience designing and implementing ETL/ELT frameworks (e.g., Apache Airflow, dbt, AWS Glue, Informatica)
Demonstrated success architecting and optimizing large-scale BI/reporting solutions (MicroStrategy, ThoughtSpot, Power BI, Tableau)
Strong knowledge of AWS data ecosystem (Redshift, Athena, S3, Glue, Lambda) or similar cloud environments
Experience defining and enforcing data governance, quality, and security standards
Ability to design and document end-to-end data flows and integrations between transactional and analytical systems
Excellent communication, analytical, and problem-solving skills
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
An active Top Secret clearance is mandatory

Preferred

Master's degree in Computer Science, Information Systems, or related field
Experience leading federal data modernization or analytics programs
Familiarity with Python or other scripting languages for data processing and automation
Knowledge of data cataloging, metadata management, and data lineage tools
Exposure to AI/ML pipelines, predictive analytics, or natural language query tools such as ThoughtSpot Sage or AWS Bedrock
AWS Certified Solutions Architect, Data Analytics Specialty, or equivalent certification
Experience mentoring data engineers or architects in an Agile or SAFe environment

Benefits

Health insurance
Paid leave
Retirement

Company

SMX

twittertwitter
company-logo
SMX is a provider of information technology (IT), services, and advanced engineering with a focus on Cloud Solutions.

Funding

Current Stage
Late Stage

Leadership Team

leader-logo
Peter LaMontagne
Chief Executive Officer
linkedin
Company data provided by crunchbase