Worth AI
computer software
DataPlatformEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Platform Engineer at Worth AI. Skills: Data Platform Engineering, Graph Databases, Entity Resolution, Data Pipelines. Design and build core data services. Operate core data services”
What You'll Achieve.
Real-time risk assessment; Automated onboarding decisions; Reliable self-service
Industry & Context.
Root cause analysis
Travel to Orlando, On-call rotation
What They're Looking For.
Must Have
Expertise in Graph Ecosystems, Hands-on experience with Graph databases, Experience with Entity Resolution or Record Linkage, Ability to design flexible ontologies, Experience building GraphQL or REST APIs, Experience building centralized data platforms, Software engineering skills in Python, Java, Go, or Rust, Hands-on experience building data pipelines, Experience with modern data stack tools, Familiarity with DevOps practices, Focus on observability, resilience, and early warning signals, Comfort collaborating cross-functionally, Communicate clearly with technical and non-technical stakeholders
Nice to Have
Background supporting machine learning, Background supporting real-time decisioning, Compliance Domain Knowledge, Experience handling global address normalization, Experience with geospatial indexing
What You'll Do.
Design and build core data services
Operate core data services
Own end-to-end data pipelines
Ingest high-quality data
Process high-quality data
Expose high-quality data
Architect entity resolution logic
Implement entity resolution logic
De-duplicate data points
Link disparate data points
Create unified 'Golden Records'
Design business knowledge graph
Maintain business knowledge graph
Map complex ownership chains
Map hidden risk relationships
Implement hybrid storage strategy
Bridge graph databases
Bridge document stores
Optimize platform for real-time risk assessment
Ensure ability to traverse ownership levels
Support automated onboarding decisions
Design scalable data services
Build scalable data services
Serve data across company
Develop data pipelines
Maintain data pipelines
Use modern data processing frameworks
Use AWS cloud-native tooling
Own platform reliability
Own platform performance
Own API first data platform
Alert on platform issues
Perform on-call duties
Implement data modeling best practices
Implement data quality best practices
Implement data lineage best practices
Implement data governance best practices
Ensure trustworthy datasets
Ensure well-documented datasets
Work with data scientists
Work with application engineers
Understand user needs
Translate needs into platform capabilities
Drive standardization
Use model as a service
Use reproducible environments
Define data platform architecture
Evolve data platform architecture
Treat data platform as internal service
How You'll Work.
Team & Collaboration
Internal customers; External partners; Data science teams; Analytics teams; Product teams; Engineering teams; Cross-functionally; Technical stakeholders; Non-technical stakeholders
Communication Scope
Clear communication
Process & Methodology
CI/CD
Full 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 reliab
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