Graph Data Engineer—Fraud & Claims (Remote)

Information Technology Senior Management Forum; Bloomington (IL); On-site; USD 140,000 - 165,000; Full time

Benefits offered by this job

Annual raise and bonus

Robust health insurance

Tuition assistance

Mentoring

401(k) plan with company contributions

Job summary

Information Technology Senior Management Forum in Bloomington, IL (remote option in the U.S.) is seeking a Data Engineer focused on designing and implementing complex knowledge graph structures to bolster claims investigations and fraud detection through advanced graph analytics.

The role covers data engineering, ETL, DataOps, and cross-functional collaboration, with opportunities to work across multiple platforms and compute environments while applying industry-standard languages and graph

Qualifications

• Bachelor’s degree in Computer Science or a closely related field.
• 5 years of experience in the offered role or as a Specialist Programmer, or similar positions such as Machine Learning Engineer or Graph Data Engineer.
• 5 years of experience with graph database management systems (Neo4j or Amazon Neptune) and knowledge of Cypher.
• 5 years of experience with distributed computing frameworks, including Apache Spark.
• 5 years of experience with programming languages, including Python or Java, and Scala.
• 5 years of experience with containerization and orchestration, including Docker, Kubernetes, leveraging Graph Algorithms Libraries, and Neo4j GDS.

Responsibilities

• Design and implement complex knowledge graph structures to bolster claims investigations and fraud detection via advanced graph analytics.
• Collaborate with cross-functional teams to drive data driven decision making and innovation.
• Apply industry standard languages and frameworks across coding, testing, security, DevOps, DataOps and data engineering practices with graph database technologies.
• Develop and maintain reusable, scalable, and compliant data solutions across multiple platforms and compute environments.
• Identify, acquire, cleanse, profile, and ETL data used in analytic discovery and production solution deployment across multiple platforms.
• Establish business domain knowledge for existing State Farm data sources and evaluate, recommend, and initiate data resource acquisitions, internal or external.
• Identify and consult on emerging technologies and critical core systems, including techniques, tools, data sources, and platforms in the data engineering field.
• Be familiar with handling datasets containing mixes of structured and unstructured data.
• Exhibit a DataOps mindset, ensuring data aligns to enterprise needs and leveraging automation to deliver quality data solutions.
• Collect and analyze information to identify customers' technical needs, propose solutions and develop implementation and integration plans (eg, technical proposals).
• Be responsible for the analysis, design, deployment, support, and security of technology to ensure efficient management of technology and data-related assets in line with market best practices and external regulations.
• Apply a broad application of complex principles, theories, and concepts in computer science for data engineering solutions.

Skills

Data modeling

Cross-functional collaboration

DataOps mindset

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Neo4j

Amazon Neptune

Cypher

Apache Spark

Python

Java

Scala

Docker

Kubernetes

Graph Algorithms Libraries

Neo4j GDS

Job description

Information Technology Senior Management Forum in Bloomington, IL (remote option in the U.S.) is seeking a Data Engineer focused on designing and implementing complex knowledge graph structures to bolster claims investigations and fraud detection through advanced graph analytics.

The role covers data engineering, ETL, DataOps, and cross-functional collaboration, with opportunities to work across multiple platforms and compute environments while applying industry-standard languages and graph