[Hiring] Data Platform Engineer @Worth AI

Role Description

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. As a Data Platform Engineer, you will 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.

You’ll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users.

Responsibilities

• Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals.
• Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders.
• Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content.
• Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions.
• Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company.
• Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling.
• Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate.
• Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets.
• Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities.
• Drive automation and standardization through CI/CD, model as a service, and reproducible environments.
• Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs.

Qualifications

• Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin.
• Identity & Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models).
• Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats).
• API Performance for Graphs: 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.
• Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders.

Nice to Have

• Background supporting machine learning or real-time decisioning use cases from a platform point of view.
• Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022).
• Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection.

Requirements

• All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida.

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.