# Data Platform Engineer

**Company:** [Worth AI](https://hotfix.jobs/companies/worth-ai)
**Location:** Remote
**Role:** Data Engineering
**Skills:** Graph Databases, Cypher, Gremlin, Entity Resolution, Record Linkage, GraphQL, REST APIs, Python, Java, Go, Rust, AWS, Spark, Apache Flink, Kafka
**Posted:** 2026-08-25

> Build and operate a scalable data platform centered on entity resolution, knowledge graphs, and real-time risk decisioning. The role requires strong software engineering, graph database, data pipeline, API, cloud, and observability experience.

## Job Description

## Responsibilities
- Architect and implement entity resolution logic to deduplicate and link disparate data into unified “Golden Records” for businesses and individuals.
- Design and maintain a global business knowledge graph and ontology covering ownership chains, UBOs, and hidden risk relationships across international borders.
- Implement hybrid storage spanning graph databases, document stores, and search stores for relationship mapping, rich metadata, and adverse media.
- Optimize real-time risk assessment and multi-level ownership traversal for millisecond-scale automated onboarding decisions.
- Build scalable data services and APIs for ingesting, transforming, and serving data.
- Develop and maintain batch and streaming pipelines using modern processing frameworks and AWS tooling.
- Own platform reliability, performance, monitoring, alerting, and on-call operations.
- Establish best practices for data modeling, quality, lineage, governance, documentation, and trustworthy datasets.
- 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 platform architecture, service 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 probabilistic matching models.
- Ability to design flexible ontologies for evolving regulatory data, including PEP definitions and sanctions-list formats.
- 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 Python, Java, Go, or Rust.
- Experience building data pipelines and ETL/ELT workflows on a major cloud provider, preferably AWS.
- Familiarity with Spark, Flink, Kafka, Kinesis, Airflow, Snowflake, Redshift, BigQuery, or Databricks.
- Familiarity with CI/CD, Docker, Kubernetes, and Terraform.
- Strong focus on observability, resilience, metrics, logs, traces, and early warning signals.
- Clear communication and effective cross-functional collaboration.

## Nice to Have
- Experience supporting machine learning or real-time decisioning use cases from a platform perspective.
- Knowledge of AML, CTF, and KYC/KYB data structures, including LEIs and ISO 20022.
- Experience with global address normalization and geospatial indexing for risk detection.

## Compensation & Benefits
- Medical, dental, and vision health care plans.
- Retirement plan, including 401(k) and IRA options.
- Life insurance.
- Flexible paid time off.
- Nine paid holidays.
- Family leave.
- Work-from-home support.
- Free food and snacks in Orlando.
- Wellness resources.
- Remote hires must travel to Orlando, Florida at least twice per year for town halls and team collaboration, in addition to orientation in Orlando, Florida.

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**Apply:** https://hotfix.jobs/jobs/3eb45750-4730-4f24-b55d-7b350dd51747
**Canonical:** https://hotfix.jobs/jobs/3eb45750-4730-4f24-b55d-7b350dd51747