10 hours ago
Orlando, FL, USASenior
Responsibilities
- Architect and implement entity resolution logic for unified business and individual Golden Records.
- Design and maintain a global business knowledge graph and ontology for ownership chains, UBOs, and risk relationships.
- Build hybrid graph, document, and search storage strategies for relationship and metadata data.
- Optimize graph traversal and data services for millisecond-level real-time risk assessment.
- Build scalable APIs and data services for ingesting, transforming, and serving data.
- Develop and maintain batch and streaming data pipelines using modern processing frameworks and AWS tooling.
- Own platform reliability, performance, monitoring, alerting, and applicable on-call responsibilities.
- Implement data modeling, quality, lineage, and governance practices.
- Collaborate with data scientists, analysts, and application engineers to develop platform capabilities.
- Drive automation and standardization through CI/CD, model as a service, and reproducible environments.
- Define and evolve the data-platform architecture, contracts, SLAs, and versioned APIs.
Requirements
- Hands-on experience with graph databases such as Neo4j, AWS Neptune, or TigerGraph and query languages such as Cypher or Gremlin.
- Proven experience with entity resolution or record linkage using Senzing, Quantexa, or custom probabilistic matching models.
- Ability to design flexible ontologies for evolving regulatory data.
- Experience building GraphQL or REST APIs optimized for graph traversals and deep-tree lookups.
- Experience building centralized data platforms or data-as-a-service offerings at scale.
- Strong software engineering skills in at least one of Python, Java, Go, or Rust.
- Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider, preferably AWS.
- Experience with Spark or Flink, Kafka or Kinesis, Airflow or managed schedulers, and data warehouses such as Snowflake, Redshift, BigQuery, or Databricks.
- Familiarity with CI/CD, Docker, Kubernetes, and Terraform.
- Strong focus on observability, resilience, and early warning signals.
- Ability to collaborate cross-functionally and communicate with technical and non-technical stakeholders.
- Preferred qualifications include machine-learning or real-time decisioning platform experience, AML/CTF/KYC/KYB knowledge, familiarity with LEIs and ISO 20022, and experience with address normalization and geospatial indexing.
Benefits
- Medical, dental, and vision health care plans.
- 401(k) or IRA retirement plan.
- Life insurance.
- Flexible paid time off.
- Nine paid holidays.
- Family leave.
- Work-from-home benefit.
- Free food and snacks in Orlando.
- Wellness resources.
- Full-time hybrid work arrangement in the Winter Park office.
Tech Stack
Amazon RedshiftApache AirflowApache FlinkApache KafkaApache SparkAWSDatabricksDockerGoGoogle BigQueryGraphQLJavaKubernetesNeo4jPythonRustSnowflakeTerraform
Categories
BackendData Engineering
About Worth AI
Worth AI builds a SaaS platform that automates onboarding and underwriting for business credit, using AI-driven risk models, real-time SMB data, and continuous portfolio monitoring. It sells to banks, lenders, and fintechs that need faster credit decisions and portfolio visibility. Founded in 2023 and headquartered in Winter Park, Florida, the company is privately held.