Cleared Hybrid Data Engineer (5418) at SMX — Hanover, USA | Base Career

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SMX is hiring a Data Engineer responsible for designing, building, and maintaining scalable data architecture that powers our AI, analytics and reporting.

Collaborate closely with Analysts, AI Engineers, and Software Engineers to transform raw, unstructured data into high-quality, accessible data pipelines.

Optimizing data systems, building them from the ground up, and ensuring peak data reliability and performance.

This role is essential for making data accessible, reliable, and usable across the enterprise.

Essential Duties And Responsibilities

Design, construct, install, test, and maintain highly scalable data management systems and robust ELT/ETL pipelines across cloud and on-prem systems.
Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud technologies. Support API strategy, data modeling, and domain-driven data structures.
Implement monitoring systems to ensure data integrity, quality, and security across all storage and processing layers. Implement data quality checks, validation, lineage tracking, and metadata management.
Prepare and optimize data for AI/ML models, semantic search, analytics, and mission applications.
Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery for greater scalability. Automate ingestion and transformation processes using industry-standard tools and patterns. Troubleshoot pipeline issues and optimize for performance and cost.
Work with analytics and business teams to understand their data requirements and deliver production-ready datasets. Collaborate with AI engineers and analysts to ensure datasets meet requirements.

Required Skills & Experience

Bachelor's degree in Computer Science, Information Technology, Data Engineering
4+ years of progressive professional experience in a data engineering or backend software engineering role

Experience supporting AI/ML pipelines, vectorization, or embedding generation
Experience with data governance, access controls, or sensitive data protection
Exposure to DevOps/CI-CD patterns for data workflows
MuleSoft implementation experience
Experience with real-time data streaming and event-driven architectures

#LI-SA1

The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications.

At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits.

Some key components of our robust benefits include health insurance, paid leave, and retirement.

At SMX®, we are a team of technical and domain experts dedicated to enabling your mission.

From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.

We share your vision for the future and strive to accelerate your impact on the world.

We bring both cutting edge technology and an expansive view of what’s possible to every engagement.

Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.

SMX is an Equal Opportunity employer including disabilities and veterans.

Selected applicant may be subject to a background investigation and/or education verification.

SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e.

H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

Cleared Hybrid Data Engineer (5418)

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Essential Duties And Responsibilities

Required Skills & Experience

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