Data Platform Engineer

Join Worth AI as a Data Platform Engineer to design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers and external partners.

What You Will Do

Architect and implement entity resolution logic, design and maintain a high-performance global business knowledge graph, implement a hybrid storage strategy, optimize the platform for real-time risk assessment, and develop scalable data services and APIs.

Why It Might Be a Fit

We're looking for a talented and experienced Data Platform Engineer who can drive automation and standardization through CI/CD, model as a service, and reproducible environments. You'll work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities.

Requirements

• Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin
• Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models)
• Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)
• Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups
• Experience building centralized data platforms or “data-as-a-service” offerings at scale (e.g., at a large tech or cloud-native company)
• Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)
• Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred)
• Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks)
• Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)
• Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance
• Flexible Paid Time Off
• 9 paid Holidays
• Family Leave
• Work From Home
• Free Food & Snacks (Orlando)
• Wellness Resources