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Data Platform Engineer

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Data Platform Engineer in USA

  • Worth AI
  • Full time
  • Email
  • Orlando, FL

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.

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 202...

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