Neo4j Data Jobs

2 jobs found

1d ago

Data Engineer

Information Technology Senior Management Forum Bloomington, IL 🇺🇸 Remote

Bloomington, IL

1d ago

$153k - $153k/yr Full time Big Data Claims Data Pipelines Data Analysis

Apply Now

Job Description

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

View full job page →

11d ago

Data Engineer/Analyst

Intone Networks Remote 🌍 Remote

Remote

11d ago

Full time Analyst Analytics Big Data

Apply Now

Job Description

Remote Data Engineer/Analyst role at Intone Networks focused on troubleshooting data issues, SQL driven data management, data quality and security, and scalable architectures to support healthcare claims applications.

Key Responsibilities

Develop, maintain, and run complex SQL queries to support data management and validation.
Apply domain expertise in data mapping, transformations, validations, and ingestion workflows.
Oversee data workflows to guarantee quality, consistency, and reliability.
Design and deploy scalable, secure data architectures for existing and new applications.
Configure production solutions and services as required.
Act as a change agent to identify improvement opportunities and propose business process enhancements.
Collaborate with cross functional teams including technical product owners, analysts, and software engineers.
Develop and maintain standard operating procedures.
Join code reviews, sprint planning, and architecture discussions.
Mentor junior engineers and advocate data engineering best practices.
Attend meetings with clients and stakeholders.
Complete assigned tasks.
Provide after-hours or weekend support as needed.
Work effectively with minimal supervision.
Adhere to industry and organizational compliance rules to maintain data integrity.
Resolve tasks using department ticketing systems within deadlines.
Meet organizational and personal goals as outlined in performance reviews and goal setting.

Requirements

Bachelor's degree in Computer Science, Information Technology, or equivalent work experience.
8+ years in data engineering or a related role.
8+ years of data analysis experience.
Experience in healthcare enrollment, medical claims, or pharmacy claims preferred.
8+ years hands-on SQL and/or PL/SQL experience.
Experience designing, implementing, and optimizing data models in NoSQL databases (MongoDB, Cassandra, neo4j) for high-volume, low-latency workloads.
Familiarity with big data and cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake, etc.) preferred.
Strong proficiency with Microsoft Office Suite (PowerPoint, Word, Excel, Outlook).
Flexible work schedule.
Experience with Jira or similar project management tools.
Strong understanding of agile development practices, ideally SAFe.
Strong analytical skills.
Excellent verbal, listening, and written communication skills.
Ability to multitask and prioritize to meet deadlines.
Ability to work independently or in a team environment.
Effective information exchange with others.
Assessing accuracy and thoroughness of work.

Technologies

SQL
PL/SQL
MongoDB
Cassandra
neo4j
Databricks
AWS
Azure
Hadoop
Spark
Snowflake
Microsoft Office Suite
Jira

Working Conditions and Physical Requirements

Prolonged sitting or standing in a stationary position.
Repetitive motions of wrists, hands, or fingers.
No adverse environmental conditions anticipated.
Need a dedicated, secure work area.
Must have high-speed internet connectivity and a suitable office setup.

View full job page →

Get Neo4j Data Jobs alerts

New Neo4j Data Jobs, daily.