Data Engineer, Platform

About The Company
Worth AI is a pioneering leader in the computer software industry dedicated to transforming decision-making processes through advanced artificial intelligence solutions. Committed to innovation and excellence, Worth AI aims to deliver impactful products and services that shape the future of technology. Our company fosters a collaborative environment that encourages creativity, adaptability, and continuous learning. We value our employees and customers equally, striving to create a workplace where everyone can thrive and contribute to groundbreaking advancements in AI and data platforms.
About The Role
As a Data Platform Engineer at Worth AI, you will play a crucial role in designing, building, and maintaining the core data services that power our products and analytics. You will be responsible for developing end-to-end data pipelines, API services, and managing high-performance data platforms that support internal teams such as data science, analytics, and engineering, as well as external partners. This position requires a highly skilled professional who can treat the data platform as a product, ensuring it meets strong SLAs, reliability standards, and provides a seamless self-service experience. You will work within a small, high-impact team dedicated to creating a robust, scalable, and secure data infrastructure that drives strategic decision-making and operational excellence.
Qualifications

• Hands-on experience with Graph databases such as Neo4j, AWS Neptune, or TigerGraph
• Proficiency in query languages like Cypher or Gremlin
• Proven expertise in Entity Resolution or Record Linkage, utilizing tools like Senzing, Quantexa, or custom probabilistic models
• Strong skills in schema design and ontology development for complex and evolving regulatory data
• Experience in building and optimizing GraphQL or REST APIs for graph data traversal
• Experience in developing scalable data platforms or “data-as-a-service” solutions at large-scale organizations
• Proficiency in programming languages such as Python, Java, Go, or Rust
• Hands-on experience with cloud-native data pipelines and ETL/ELT workflows on AWS or similar cloud providers
• Knowledge of modern data stack tools including Spark/Flink, Kafka/Kinesis, Airflow, and data warehouses like Snowflake, Redshift, or BigQuery
• Familiarity with DevOps practices including CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)
• Strong focus on observability, resilience, and early warning systems for data platforms
• Excellent communication skills with the ability to collaborate across technical and non-technical teams

Responsibilities

• Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records"
• Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships
• Implement hybrid storage strategies combining graph databases with document and search stores for rich metadata and adverse media content
• Optimize the platform for real-time risk assessment, enabling rapid traversal of ownership structures for automated onboarding decisions
• Build scalable data services and APIs for data ingestion, transformation, and distribution across the organization
• Develop and maintain batch and streaming data pipelines using modern frameworks and cloud-native tools
• Ensure platform reliability, performance, and API availability through monitoring, alerting, and proactive maintenance
• Implement data modeling, quality, lineage, and governance best practices to ensure trustworthy datasets
• Collaborate closely with data scientists, analysts, and engineers to understand their needs and translate them into platform features
• Drive automation and standardization via CI/CD pipelines, model deployment, and reproducible environments
• Contribute to defining and evolving the architecture of the data platform as a reliable internal service with clear SLAs and versioned APIs

Benefits

• Comprehensive health care plans including Medical, Dental, and Vision coverage
• Retirement plans such as 401(k) and IRA options
• Life insurance coverage
• Flexible Paid Time Off policy
• Paid holidays (9 days annually)
• Family leave benefits
• Work from home flexibility
• Free food and snacks at our Orlando location
• Access to wellness resources and programs

Equal Opportunity
Worth AI is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace free from discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability status, or any other protected characteristic under applicable law. We believe in equal opportunity and are committed to providing a supportive environment where every individual can succeed and grow.