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Able

AI-driven software solutions for PE growth

AI Senior Engineer - Graph

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 4 years of hands-on Neo4j experience, including Cypher, schema design, and production graph operations.
  • Strong background building data pipelines and preparing raw data for graph ingestion.
  • Familiarity with event-streaming platforms such as Kafka and Change Data Capture methodologies for syncing operational databases with the graph.
  • Strong Python skills for ingestion scripts, maintenance jobs, and custom graph algorithms.
  • Experience implementing automated entity resolution, deduplication, and quality-assurance jobs.
  • Strong verbal and written communication skills in English.
  • Availability to work 40 hours per week and during normal business hours as needed.

Responsibilities

  • Design and develop robust ETL pipelines for graph ingestion, determining how disparate data sources connect, evolve, and relate in a graph structure.
  • Manage high-volume data streams using tools such as Kafka and implement Change Data Capture patterns so the graph reflects real-time data.
  • Write scripts and jobs for deduplication, orphan-node detection, and data-consistency checks.
  • Handle complex temporal relationships in the graph, such as changes over time in property ownership or financial status.
  • Optimize indexes and storage to maintain query performance as the graph grows.

Desired Qualifications

  • Ability to read or contribute to C# codebases.
  • Prior experience in Finance or Real Estate sectors.

About the Company

Able

AI-driven software solutions for PE growth

Able helps Private Equity and Venture-backed companies grow faster by designing, building, and implementing software solutions powered by Artificial Intelligence. It offers tailored software and consultancy that start with identifying opportunities, then building strategic roadmaps and investment plans, and finally delivering custom software and ongoing support. The products work by combining AI-driven development with practical project-based engagements to fix legacy systems, reduce tech debt, and improve customer experiences, operations, and talent efficiency so clients can bring products to market more quickly. Able differentiates itself by pairing hands-on software delivery with strategic guidance focused on growth, cost reduction, and portfolio optimization, supported by a distributed team of builders. Its goal is to help clients achieve faster product delivery, stronger growth, and better profitability through technology.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2008

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