14 days ago
Hanover, MD, USAMid Level
Base Salary
$103k - $172k/yr
Responsibilities
- Design, construct, install, test, and maintain scalable data management systems and ELT/ETL pipelines across cloud and on-premises environments.
- Build data infrastructure for extracting, transforming, and loading data from diverse sources, and support API strategy, data modeling, and domain-driven data structures.
- Implement monitoring, data quality checks, validation, lineage tracking, metadata management, and security controls across storage and processing layers.
- Prepare and optimize data for AI/ML models, semantic search, analytics, and mission applications.
- Automate ingestion and transformation processes, improve internal data delivery processes, troubleshoot pipeline issues, and optimize performance and cost.
- Collaborate with analysts, AI engineers, software engineers, and business teams to deliver production-ready datasets that meet data requirements.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or Data Engineering.
- 4+ years of progressive professional experience in data engineering or backend software engineering.
- Secret or higher security clearance.
- Strong proficiency in Python, SQL, and Java.
- Experience with Snowflake, AWS Redshift, Spark, Databricks, Kafka, Azure Data Factory, AWS Glue, Apache Airflow, and AWS, GCP, or Azure cloud environments.
- Experience integrating structured and unstructured data and knowledge of schema design, data modeling, and cloud-based storage patterns.
- Preferred experience with AI/ML pipelines, vectorization, embedding generation, data governance, access controls, sensitive data protection, DevOps/CI-CD patterns, MuleSoft, real-time data streaming, and event-driven architectures.
Benefits
- Health insurance, paid leave, and retirement benefits.
- Learning and development opportunities.
- The role requires Secret-or-higher security clearance and may require a background investigation and education verification.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaApache SparkAWSAzureDatabricksGoogle Cloud PlatformJavaPythonSnowflakeSQL
Categories
Data Engineering
About SMX
SMX provides cloud, cyber, data analytics, and C5ISR engineering services to U.S. federal agencies and commercial enterprises, delivering systems integration and managed solutions. The company operates from Hollywood, Maryland, and was formed by unifying several legacy firms (including Smartronix, Datastrong, and Creoal) under the SMX name in 2021; it is backed by OceanSound Partners. Customers span the Department of Defense, civilian public sector, and Fortune 1000 organizations.