Data Engineer

Location: Remote within the United States; applicants must currently reside in the United States. Travel within the DMV area may be required.

Salary: $95,553–$165,000 per year

Company

hirify.global provides AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.

What you will do

• Build source adapters and connectors for APIs, legacy systems, databases, files, and event streams.
• Develop normalization, mapping, validation, enrichment, and standardization logic for a common risk-signal schema.
• Implement reliable ETL/ELT pipelines with testing, observability, error handling, retries, backfills, and data-quality controls.
• Produce and consume streaming events through Kafka or equivalent platforms for near-real-time signal delivery.
• Collaborate with data architecture and domain specialists on data contracts, mappings, and source-to-signal lineage.
• Optimize pipeline performance and maintain technical documentation and operational runbooks.

Requirements

• Active Top Secret security clearance is required.
• Bachelor's degree and 5–8 years of experience; equivalent experience may be accepted instead of a degree.
• At least 3 years of data engineering experience building production-grade ingestion and transformation pipelines.
• Strong experience with API integrations, ETL/ELT development, and heterogeneous or legacy systems.
• Experience with REST/API frameworks and maintainable, well-tested integration services.
• Applicants must currently reside in the United States.

Nice to have

• Strong SQL skills and familiarity with NoSQL databases.
• Proficiency in Python or Java.
• Hands-on Kafka producer and consumer experience or equivalent event-streaming experience.
• AWS Data Engineer certification, graph database experience, or AWS Database Migration Service experience.

Culture & Benefits

• Remote work with potential travel within the DMV area.
• Work on AI-powered decision intelligence for complex, mission-based environments.
• Compensation may vary based on skills, experience, education, certifications, location, and other factors.