Neo4J Developer

Role : Neo4J Developer Location : Canada (100% Remote) We're looking for a Neo4j Developer to join our growing team and play a key role in designing and delivering modern data solutions. What You'll Do: Design and develop scalable batch and streaming data pipelines Build enterprise data solutions using Neo4j and Google Spanner Develop high-performance data processing frameworks on Google Cloud Platform (GCP) Work with cross-functional teams to translate business requirements into technical solutions Create reusable, reliable, and scalable data architectures aligned with enterprise standards. Required Skills: 7+ years of IT/Data Engineering experience Hands-on experience with Neo4j (Graph Database) Strong expertise in GCP (Dataflow, BigQuery) Python & PySpark development experience Apache Airflow, Apache Beam Hadoop, Spark & Elasticsearch SQL, NoSQL & Data Modeling AWS/GCP Cloud experience and enterprise data architecture knowledge Nice to Have: Experience in the Mortgage, Real Estate, or Insurance domain. Exposure to AI development frameworks and modern data engineering practices. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf

Design and develop scalable batch and streaming data pipelines using Neo4j and Google Spanner. Create high-performance data processing frameworks on GCP aligned with enterprise standards.

Requires over 7 years of IT/Data Engineering experience with strong expertise in Neo4j and GCP tools. Proficiency in Python, PySpark, and various big data frameworks is essential.

Identified from the job description. Confirm important requirements above.

• Neo4j
• Google Cloud Platform
• Python
• PySpark
• Apache Airflow
• Apache Beam
• Hadoop
• Spark
• Elasticsearch
• SQL
• NoSQL
• Data Modeling
• Google Spanner
• Dataflow
• BigQuery
• Enterprise Data Architecture

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available