Cleared Hybrid Data Engineer (5781)

Location: Hybrid in Hanover, Maryland, United States

Salary: $103,000–$171,800 USD annually

Company

hirify.global delivers secure digital transformation and mission solutions for national security and healthcare engagements.

What you will do

• Design, build, test, and maintain scalable data management systems and ELT/ETL pipelines across cloud and on-premises environments.
• Build cloud-based infrastructure for data extraction, transformation, and loading; support API strategy, data modeling, and domain-driven data structures.
• Implement data integrity, quality, security, validation, lineage, and metadata monitoring across storage and processing layers.
• Prepare and optimize data for AI/ML models, semantic search, analytics, and mission applications.
• Automate ingestion, transformation, and manual processes; troubleshoot pipeline issues and optimize performance and cost.
• Collaborate with analysts, AI engineers, software engineers, analytics teams, and business teams to deliver production-ready datasets.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 4+ years of progressive professional experience in data engineering or backend software engineering.
• Secret or higher security clearance is required.
• Strong proficiency in Python, SQL, and Java.
• Experience with Snowflake, AWS Redshift, distributed computing tools such as Spark, Databricks, and Kafka, and integration platforms such as Azure Data Factory or AWS Glue.
• Experience with workflow management tools such as Apache Airflow and hands-on experience with AWS, GCP, or Azure cloud environments.
• Experience with structured and unstructured data integration, schema design, data modeling, and cloud-based storage patterns.

Nice to have

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

Culture & Benefits

• Hybrid work environment supporting secure mission-focused engagements.
• Health insurance, paid leave, and retirement benefits.
• Learning and development opportunities.
• Employment authorization or immigration-related sponsorship is not available for this position.
• Selected applicants may undergo a background investigation and education verification.