Data Engineer (AI)

Location: Fully remote, but applicants must be authorized to work in the United States. Certain roles may require U.S. citizenship, a federal background investigation, and/or a security clearance.

Salary: $100,000–$140,000 per year

Company

hirify.global develops scalable software solutions for the federal sector and works with clients to solve complex technology problems.

What you will do

• Build and maintain data pipelines supporting NLQ, semantic search, and knowledge graph capabilities on the SEC Enterprise Data Platform.
• Onboard new data sources and extend the semantic layer without disrupting live pipelines.
• Ingest, transform, and deliver XBRL and SEC financial filing datasets.
• Support GraphRAG and knowledge graph pipelines alongside the Data Architect.
• Use AWS data services, including Athena, DataZone, SageMaker, S3, Glue, and Lambda.
• Manage metadata, data lineage, data quality validation, pipeline monitoring, and integration issue resolution while meeting federal security and compliance requirements.

Requirements

• U.S. work authorization is required. Some roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or security clearance.
• Hands-on experience building enterprise data pipelines in regulated or federal environments.
• Strong SQL skills with PostgreSQL or similar databases.
• Experience with ETL/ELT tools such as AWS Glue or Airflow.
• Proficiency in Python for pipeline development and automation.
• Understanding of FISMA and NIST 800-53 compliance frameworks; a bachelor's degree is required.

Nice to have

• Experience with vector databases or semantic search tooling.
• Experience with graph databases such as Neptune or Neo4j.
• Experience with XBRL or financial data schemas.

Culture & Benefits

• Fully remote work.
• Tech and education stipend.
• Comprehensive benefits package.
• Company-matched 401(k) plan.
• Flexible PTO and paid holidays.