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 AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Worth AI and has not been reviewed or approved by Worth AI.
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Healthcare Strength — Health coverage includes medical, dental, and vision. Life insurance is also offered as part of the core package.
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Leave & Time Off Breadth — Time off includes unlimited PTO alongside a set of paid holidays, with family leave available. The breadth of leave options is clearly outlined in role materials and postings.
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Flexible Benefits — Work-from-home flexibility and hybrid setups are supported, alongside onsite perks such as free food/snacks and access to wellness resources. These options provide day-to-day flexibility beyond core insurance.
Worth AI Insights
What We Do
Worth AI is a minority-founded SaaS platform powering inclusive financial underwriting through AI. Our Values: - Economic inclusion for everyone. - Equitable decision-making through technology. - Tackling financial inclusion for all - from enterprises to small businesses. Get to Know Worth AI’s Technology: Worth AI is an underwriting platform that leverages AI algorithms to deliver lightning-fast processing times, unparalleled accuracy, and a unique user experience. Our patent-pending platform provides: - Real-time data on the SMB market. - Enabling advanced risk modeling. - Comprehensive portfolio visibility. - Continuous risk monitoring. Our data-driven platform reduces risks and eliminates biases by processing thousands of traditional and non-traditional data sources. We're pushing boundaries and rewriting the rulebook in fintech. Let's work together to make real change happen.
