Key Facts

Remote From:

Florida (USA)

Full time

Mid-level (2-5 years)

English

Hard Skills

Other Skills

•
Teamwork
•
Adaptability

Roles & Responsibilities

Expertise with graph databases (Neo4j, AWS Neptune, or TigerGraph) and query languages Cypher or Gremlin
Experience with entity resolution or record linkage (e.g., Senzing, Quantexa, or probabilistic matching models)
Ability to design flexible ontologies for evolving regulatory data (PEP, sanctions, AML/KYC data structures)
Experience building centralized data platforms at scale with API first design (GraphQL/REST) optimized for graph traversals

Requirements:

Architect and implement entity resolution logic to deduplicate and link disparate data points into unified Golden Records and maintain a global knowledge graph and ontology for ownership and risk relationships
Design and maintain a hybrid storage strategy bridging graph databases with document and search stores to support rich metadata and risk content
Develop scalable data services and batch/streaming pipelines using AWS native tooling to ingest, transform, and serve data across the company
Own the reliability and performance of the API first data platform, including monitoring, on call, data quality, lineage, governance, and CI/CD automation

Worth AI

Financial Services

About Worth AI

Welcome to Worth AI, where we're reshaping how decisions are made, guided by inclusivity and innovation. Join Us: Be part of a global movement that values diversity and technology's power. Worth AI offers a chance to make a meaningful impact, redefine worth, and create a more equitable world. We are on a mission to revolutionize the way businesses make decisions leveraging the power of AI. Our Mission: At the heart of Worth lies our unwavering commitment to "Equitable Decision Making." We believe that every decision, big or small, should be grounded in fairness, inclusivity, and diversity of thought. Our mission is to champion these principles in every facet of our business. Our core values define who we are and how we operate: Diversity of Thought: We are committed to creating an environment where diverse perspectives are not only welcomed but celebrated. One Team: We are more than just a group of individuals; we are one team with a shared purpose. Agility: We don't just adapt; we lead. Agility is the driving force that propels us to embrace the opportunities that come when change happens. Our Purpose: We define "Worth" as the intrinsic value within each person and organization. We are focused on making a positive impact in the business world and leaving a legacy of fairness and inclusivity. Join Our Movement: If you're passionate about making a meaningful difference, and if you're ready to redefine worth, then our company is the place for you. Come be a part of our journey as we transform industries and leave a lasting legacy of equity and excellence. Together, let's make Worth the cornerstone of a more equitable world.

Company type: Small startup

Industry: Financial Services

Founded: 2018

Company size: 2 - 10

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Job 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. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.

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 (data science, analytics, product, and other engineering teams) 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

What you’ll do:

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

Requirements

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

** 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