Senior Data Engineer (TS/SCI)

Location: Washington, DC metropolitan area, United States; hybrid schedule with required on-site support based on customer access, system classification, and mission needs.

Company

hirify.global delivers mission-focused data, analytics, and technology solutions for Federal clients.

What you will do

• Design, develop, and optimize batch and real-time pipelines for structured, semi-structured, and unstructured data.
• Build and maintain relational databases, cloud storage, data models, enterprise data stores, and curated datasets.
• Develop ETL and ELT processes with validation, error handling, metadata, lineage, monitoring, and data-quality controls.
• Engineer scalable data services and APIs supporting visual analytics, relationship analysis, advanced graphics, and high-performance computing.
• Optimize queries, indexing, database structures, and data-processing workflows while integrating new sources.
• Collaborate with analysts, software engineers, architects, and mission users to deliver secure and reliable data products.

Requirements

• At least 10 years of relevant experience in data engineering, data architecture, data integration, or a related discipline.
• Bachelor’s degree in computer science, data science, information systems, engineering, mathematics, or a related field.
• Active Top Secret clearance with eligibility for SCI access and U.S. citizenship are required.
• Advanced proficiency in Python, SQL, database development, relational data stores, and data-processing performance optimization.
• Experience operating ETL or ELT pipelines, including batch and streaming processing, validation, monitoring, metadata, lineage, access controls, and security requirements.
• Ability to support secure on-site work in the Washington, DC metropolitan area.

Nice to have

• Experience in visual analytics, cyber, intelligence, law enforcement, or other mission-critical environments.
• Experience with AWS, Azure, or comparable regulated cloud environments.
• Proficiency with PostgreSQL, OpenSearch or Elasticsearch, Apache Kafka, Apache NiFi, Cribl, Docker, Kubernetes, and infrastructure-as-code tools.
• Experience with reusable ingestion frameworks, schema management, automated data-quality controls, graph or geospatial models, and entity-resolution analytics.

Culture & Benefits

• Hybrid work is available subject to customer direction and secure-environment access requirements.
• Travel may be required for mission workshops, technical working sessions, or program activities.
• Work emphasizes curiosity, practical problem solving, shared ownership, and inclusive collaboration.
• Compensation is determined based on experience, education, certifications, skills, and work location.