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.

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.

Requirements

and deliver production-ready datasets.

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 Security clearance required (Secret or higher) Strong proficiency in Python, SQL, Java. Experience with cloud data warehouses such as Snowflake and AWS Redshift. Familiarity with distributed computing tools like Spark, Databricks, and Kafka.

Experience with Azure Data Factory, AWS Glue, or similar data integration platforms. Experience with workflow management tools like Apache Airflow. Hands-on experience with AWS, GCP, or Azure cloud environments.

Familiarity with multi-cloud data ecosystem patterns. Experience integrating structured and unstructured data sources. Knowledge of schema design, data modeling, and cloud-based storage patterns.

Desired Skills Experience 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 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.

Compensation

, learning development opportunities, and

Benefits

. Some key components of our robust

include health insurance, paid leave, and retirement. The proposed salary for this position is: $103,000 $171,800 USD 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.

Cleared Hybrid Data Engineer (5418)