Graph Engineer

At Graphable , we hire really great people who are driven to pursue excellence and wired to delight customers. Our team welcomes newcomers, values diverse backgrounds and perspectives, respects each other, and has fun while building our fast-growing company together. If this sounds like the place for you, check out our openings below and apply today!

We are relentlessly pursuing the goal of creating vibrant, healthy and rewarding culture here at Graphable, all in the context of a 100% remote work environment. Because we don’t have the chance to interact around a traditional office, we work hard to create opportunities to grow our relationships and cohesiveness as a team through various means, including regular virtual “pubs” where we all get together at the end of a workday and shoot the breeze over a beer or your beverage of choice, as well as other forums such as our annual in-person team get-togethers.

To guide the unusually fast growth of our company, we are all committed to our well-documented and regularly shared purpose statement which is:

Delight our clients through unusual excellence.

Graphable is hiring a Graph Engineer
, a role key to developing graph solutions for clients and pivotal in surfacing graph insights.

The ideal candidate will have a strong foundation in graph and data engineering, experience with ETL processes, and a deep understanding of graph database technologies.

This role is responsible for capturing requirements from our clients, modeling their data, designing queries that surface key insights, and ensuring the smooth deployment, efficient operation, and continuous improvement of our graph databases and associated microservices.

Primary Duties

The primary duties of a Graph Engineer are centered around the effective management of graph projects, working with clients to implement queries on top of models that represent their use cases, and optimization of graph database systems and their integration with various microservices and engineering processes. We seek someone who is passionate about solving technical problems and ensuring delivery of robust solutions.

The ideal candidate will be familiar with:

• Data Modeling :
  Demonstrate the ability to capture user requirements and transition them into a model that both represents desired use cases and supports analytic queries.
• Query Generation :
  Create cypher queries that explore data, surface insights, and generate reports. Understand how to return both query records and data objects.
• Software Development :
  Using Python, implement graph queries, ETL and other graph operations to develop the project requirements. You should be familiar with Cookie cutter templates which implement Python project best practices.
• Data Visualization :
  Be familiar with various graph and data visualization tools. Experience with Bloom, and Neo Dash are desirable. Hume, YWorks, D3.js, or other tools would also be beneficial.
• Data Engineering and ETL Processes :
  Developing and maintaining robust data pipelines for the efficient and accurate transfer and transformation of data into the graph database, ensuring data quality and accessibility.
• Orchestrations :
  Creating and managing automated workflows that facilitate seamless data ingestion, processing, and distribution across the system, enhancing the efficiency of graph database operations.
• Graph Database Deployment :
  Overseeing the setup and deployment of graph databases, including configuration, optimization for performance, and scaling to meet project demands.
• Monitoring and Backups :
  Implementing monitoring systems to continuously assess the health and performance of the graph databases and establishing backup procedures to ensure data…