Worth

Data Platform Engineer

Posted An Hour Ago

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Orlando, FL, USA

In-Office

Entry level

Artificial Intelligence • Fintech • Software • Financial Services

Worth is the underwriting & onboarding platform that helps financial institutions say yes to small businesses, faster.

The Role

Designs and operates a scalable data platform supporting entity resolution, knowledge graphs, real-time risk assessment, APIs, and batch and streaming pipelines. Owns data reliability, observability, governance, performance, and platform architecture while collaborating with data science, analytics, product, and engineering teams. The role requires graph databases, cloud-native AWS services, modern data stack technologies, DevOps, and data-as-a-service experience.

Summary Generated by Built In

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 reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate
Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets
Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities
Drive automation and standardization through CI/CD, model as a service, and reproducible environments
Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs

Requirements

Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin
Identity & Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models)
Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)
API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups
Experience building centralized data platforms or “data-as-a-service” offerings at scale (e.g., at a large tech or cloud-native company)
Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)
Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred)
Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks)
Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)
Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals
Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders.

Nice to Have

Background supporting machine learning or real-time decisioning use cases from a platform point of view

Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022)

Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection

** This role is Orlando based, hybrid position in our Winter Park Office.

Benefits

Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Life Insurance
Flexible Paid Time Off
9 paid Holidays
Family Leave
Work From Home
Free Food & Snacks (Orlando)
Wellness Resources

Skills Required

Hands-on experience with graph databases such as Neo4j, AWS Neptune, or TigerGraph
Experience with graph query languages such as Cypher or Gremlin
Proven experience with entity resolution or record linkage
Ability to design flexible ontologies and schemas 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 Python, Java, Go, Rust, or another relevant language
Experience building data pipelines and ETL or ELT workflows on a major cloud provider, preferably AWS
Experience with Spark, Flink, Kafka, Kinesis, Airflow or managed schedulers, and data warehouses
Familiarity with CI/CD, Docker, Kubernetes, and Terraform
Experience with observability, resilience, metrics, logs, traces, and early warning signals
Ability to collaborate cross-functionally and communicate with technical and non-technical stakeholders
Experience supporting machine learning or real-time decisioning use cases
Knowledge of AML, CTF, KYC/KYB data structures, LEIs, or ISO 20022
Experience with global address normalization and geospatial indexing

Worth Compensation & Benefits Highlights

Healthcare Strength — Core medical, dental, and vision coverage are complemented by HSA/FSA options, life insurance, an EAP, and wellness resources, creating a comprehensive health package. Individual coverage is characterized as solid, reinforcing perceived strength for single enrollees.
Leave & Time Off Breadth — Unlimited/flexible PTO, paid holidays, and bereavement leave are included as part of the offering. This breadth points to flexible time-away options beyond the basics.
Parental & Family Support — Generous parental leave is highlighted as part of the package. New parents can expect paid time away in addition to standard PTO and holidays.

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The Company

HQ: Winter Park, Florida

70 Employees

Year Founded: 2023

What We Do

Worth is the AI-powered platform that consolidates onboarding, underwriting, and risk monitoring for fintechs, lenders, payment processors, and financial institutions. Founded in 2023, we built Worth to replace slow, manual underwriting with a single system that verifies, scores, and monitors small and medium-sized businesses (SMBs) in real time. At the center of the platform is Crosswalking Technology. Our proprietary AI/ML models intelligently match businesses across disparate data sources, ensuring the highest level of accuracy and reliability in SMB entity resolution. By integrating multiple first- and third-party authoritative data sources into our crosswalk-matching logic, Worth ensures that businesses are correctly identified, even in cases of duplicate addresses, name variations, or incomplete records. This data moat spans 186 integrations and 25 global and local partners across 200+ countries and territories, resolving fragmented SMB signals into a database of 350M+ SMBs with a 98% data match rate. Our product suite — Worth Pre-Fill, Custom Onboarding, Case Management, Decisioning Engine, Perpetual Risk Monitoring, and Worth Wallet — is available via API, SDK, or fully white-labeled, enabling financial institutions to consolidate their entire onboarding and underwriting stack into one platform. Customers using Worth have increased approval rates by 37%+, reduced application abandonment by 43%+, cut vendor costs by 25%, and reduced time to revenue by 55%+. We're SOC 2 Type II certified and GDPR and CCPA compliant, and have raised $55M in funding to date. Today, 50+ customers rely on Worth to onboard and underwrite their SMB customers faster and more accurately.

Why Work With Us

We're solving a genuinely hard problem: turning fragmented SMB data into one durable, explainable identity that banks and lenders can trust. Backed by $55M in funding and already live with 50+ customers, we're a tight-knit team with real traction, where your work would help shape the roadmap.