Cleared Hybrid Data Engineer (5418)

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

Preferred

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

Benefits

Learning & development opportunities

Health insurance

Paid leave

Retirement

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

Hollywood, Maryland, USA

https://www.smxtech.com

Late Stage

Leadership Team

Peter LaMontagne

Chief Executive Officer

Frank Reyes

Senior Vice President, Mission Solutions and Technology

Recent News

Newswire

Ondas' World View Selected as Stratospheric High-Altitude Balloon Provider for U.S. Navy SOUTHCOM Maritime Domain Awareness Program

2026-06-03

Canada NewsWire

Drones-as-a-Service Market Surges as AI, Automation, and Industrial Demand Drive Billion-Dollar Growth

GlobeNewswire

SMX Earns 2026 Top Workplaces USA Award and Multiple National & Regional Recognitions

2026-04-30

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Qualifications

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

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

Required skills

Python, SQL, Java, Snowflake, AWS Redshift, Apache Spark, Databricks, Apache Kafka, Azure Data Factory, AWS Glue, Apache Airflow, AWS, GCP, or Azure

Preferred skills

Exposure to DevOps/CI-CD patterns for data workflows, MuleSoft implementation experience

Experience

4+ years