Data Engineer

Data Engineer role focused on designing and implementing complex knowledge graph structures to enhance claims investigation and fraud detection through advanced graph analytics, with responsibilities spanning data engineering, ETL, DataOps, and cross-functional collaboration; option to work remotely in the U.S.

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

Requirements

• Bachelor’s degree or foreign equivalent 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

Technologies

• Neo4j
• Amazon Neptune
• Cypher
• Apache Spark
• Python
• Java
• Scala
• Docker
• Kubernetes
• Graph Algorithms Libraries
• Neo4j GDS

Benefits

• Get Paid: eligible for annual raise and bonus on top of competitive pay
• Stay Well: robust health and wellbeing programs; employer pays most healthcare premiums; multiple plans including high deductible; 100% in-network preventive care; vision, dental, telemedicine, 24/7 mental health support, and more
• Develop and Grow: access to industry leading training, tuition assistance, employee resource groups, and mentoring
• Plan Ahead: fertility/ IVF/ adoption assistance, college coaching, national discount programs, monthly financial workshops, free financial coaching, and savings account options or credit union access
• Take a Little “You” Time: generous time off to plan around holidays, family events, volunteering; up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days
• Give Back: Matching Gift Program, Good Neighbor Grant Program, and Employee Assistance Fund
• Finish Strong: free financial planning and a 401(k) plan with company contributions up to 7%

Salary

USD 152,734 per year

Type

Full-time

Location

Bloomington, IL (remote)

Job ID

44799