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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.
ResponsibilitiesWhat 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
- 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
Skills Required
- Expertise in Graph Ecosystems
- Hands-on experience with Graph databases like Neo4j, AWS Neptune, or TigerGraph
- Proven experience with Entity Resolution or Record Linkage
- Ability to design flexible ontologies
- Experience building GraphQL or REST APIs optimized for graph traversals
- Strong software engineering skills in at least one language like Python, Java, Go, or Rust
- Building data pipelines and ETL/ELT workflows on a cloud provider
- Experience with Spark, Kafka, Airflow, and data warehouses
- Familiarity with CI/CD, Docker, Kubernetes, and Terraform
- Focus on observability and resilience
Worth Compensation & Benefits Highlights
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Healthcare Strength — Medical, dental, and vision coverage appear consistently across company materials and third‑party profiles, with HSA/FSA and life insurance also cited. Employer‑verified benefits listings indicate core health coverage is formally in place.
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Parental & Family Support — Parental leave is highlighted as generous on external profiles and shows up in employer‑verified benefits. Family‑oriented offerings complement the broader health and time‑off package.
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Leave & Time Off Breadth — Unlimited/flexible PTO and paid holidays are repeatedly listed across postings and profiles. Flexible vacation language and family leave references point to broad time‑off availability.
Worth Insights
What We Do
Worth is the AI-powered platform that consolidates onboarding, underwriting, and risk monitoring for fintechs, lenders, payment processors, and financial institutions. Founded in 2023, we built Worth to replace slow, manual underwriting with a single system that verifies, scores, and monitors small and medium-sized businesses (SMBs) in real time. At the center of the platform is Crosswalking Technology. Our proprietary AI/ML models intelligently match businesses across disparate data sources, ensuring the highest level of accuracy and reliability in SMB entity resolution. By integrating multiple first- and third-party authoritative data sources into our crosswalk-matching logic, Worth ensures that businesses are correctly identified, even in cases of duplicate addresses, name variations, or incomplete records. This data moat spans 186 integrations and 25 global and local partners across 200+ countries and territories, resolving fragmented SMB signals into a database of 350M+ SMBs with a 98% data match rate. Our product suite — Worth Pre-Fill, Custom Onboarding, Case Management, Decisioning Engine, Perpetual Risk Monitoring, and Worth Wallet — is available via API, SDK, or fully white-labeled, enabling financial institutions to consolidate their entire onboarding and underwriting stack into one platform. Customers using Worth have increased approval rates by 37%+, reduced application abandonment by 43%+, cut vendor costs by 25%, and reduced time to revenue by 55%+. We're SOC 2 Type II certified and GDPR and CCPA compliant, and have raised $55M in funding to date. Today, 50+ customers rely on Worth to onboard and underwrite their SMB customers faster and more accurately.
Why Work With Us
We're solving a genuinely hard problem: turning fragmented SMB data into one durable, explainable identity that banks and lenders can trust. Backed by $55M in funding and already live with 50+ customers, we're a tight-knit team with real traction, where your work would help shape the roadmap.
Worth Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
