Data Platform Engineer - Real-Time Graph & APIs

Worth AI; Orlando (FL); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health Plan (Medical, Dental & Vision)

Retirement Plan (401k)

Life Insurance

Flexible Paid Time Off

9 paid Holidays

Family Leave

Work From Home

Free Food & Snacks (Orlando)

Wellness Resources

Job summary

Worth AI seeks a Data Platform Engineer to design, build, and operate core data services powering products and analytics. You will own end-to-end data pipelines and APIs that ingest, process, and expose high-quality data to internal teams and external partners.

You will join a small, high-impact team treating the data platform as a product with strong SLAs and reliable self-service for users, emphasizing CI/CD and reproducible environments.

Qualifications

• Experience with graph databases (Neo4j, AWS Neptune, or TigerGraph).
• Proven entity resolution or record linkage experience.
• Strong ontology and data modeling for evolving regulatory datasets.

Responsibilities

• Architect and implement entity resolution to de-duplicate and link data into Golden Records.
• Design a global knowledge graph and ontology for ownership chains and risk relationships.
• Bridge graph databases with document/search stores for rich metadata.

Skills

Graph databases

Entity resolution

Knowledge graph & ontology

API design (GraphQL/REST)

Distributed systems

Python/Java/Go/Rust

AWS cloud

Data pipelines

CI/CD & DevOps

Observability

Cross-functional collaboration

Tools

Neo4j

AWS Neptune

TigerGraph

Cypher/Gremlin

Docker

Kubernetes

Terraform

Airflow

Kafka/Kinesis

Job description

Worth AI seeks a Data Platform Engineer to design, build, and operate core data services powering products and analytics. You will own end-to-end data pipelines and APIs that ingest, process, and expose high-quality data to internal teams and external partners.

You will join a small, high-impact team treating the data platform as a product with strong SLAs and reliable self-service for users, emphasizing CI/CD and reproducible environments.