Data Engineer (Platform)

Role overview

Responsibilities

• Build entity resolution logic that links disparate data into unified records for businesses and individuals.
• Maintain a global business knowledge graph and ontology mapping ownership chains, UBOs, and cross-border risk relationships.
• Use graph databases with document and search stores for metadata and adverse media.
• Enable fast graph traversal for real-time risk assessment and automated onboarding decisions.
• Build scalable APIs and data services, plus batch and streaming pipelines using modern processing frameworks and cloud tools.
• Own platform reliability, performance, monitoring, alerting, and on-call where appropriate.
• Implement data modeling, quality, lineage, governance, and documentation practices.
• Collaborate with data science, analytics, and engineering teams to shape platform capabilities.
• Drive CI/CD, model-as-a-service, reproducible environments, and platform contracts, SLAs, and versioned APIs.

Required qualifications

• Hands-on experience with graph databases such as Neo4j, AWS Neptune, or TigerGraph and query languages such as Cypher or Gremlin.
• Experience with entity resolution or record linkage, using commercial tools or custom probabilistic matching models.
• Ability to design flexible ontologies for changing regulatory data.
• Experience building GraphQL or REST APIs optimized for graph traversal and deep-tree lookups.
• Experience building centralized data platforms or data-as-a-service at scale.
• Strong software engineering skills in at least one of Python, Java, Go, or Rust.
• Experience building cloud data pipelines and ETL/ELT workflows; AWS is preferred.
• Experience with modern data processing, streaming or messaging, scheduling, and data warehouse tools.
• Familiarity with CI/CD, Docker, Kubernetes, Terraform, and infrastructure as code.
• Focus on observability, resilience, early warning signals, collaboration, and clear communication.

Preferred qualifications

• Machine learning or real-time decisioning platform background is a plus.
• AML, CTF, KYC/KYB, LEI, or ISO 20022 knowledge is a plus.
• Global address normalization or geospatial indexing experience is a plus.

Workplace

• The role is based in Orlando and is hybrid at the Winter Park office.

Benefits

• Benefits listed include medical, dental, and vision coverage; retirement plans; life insurance; flexible paid time off; paid holidays; family leave; work from home; snacks; and wellness resources.