Overview
On Site
$130000 - $150000
Full Time
Skills
Reporting
Use Cases
Computer Science
Data Engineering
SQL
Data Modeling
Extract
Transform
Load
ELT
Relational Databases
PostgreSQL
MySQL
Streaming
Apache Spark
Apache Kafka
Apache Flink
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Systems Design
Documentation
Real-time
Core Data
Analytics
Machine Learning (ML)
Data Quality
Collaboration
Artificial Intelligence
Data Integrity
Insurance
Job Details
Job Description
Our client is an AI-driven insurance technology company transforming how insurers, agents, and customers operate through intelligent automation and data-powered decisioning. They are building a modern, cloud-native data platform from the ground up to support large-scale integrations, real-time analytics, and AI models across the insurance lifecycle.
They are seeking a Data Engineer to join their growing team. This is a full-time, hybrid role where you will play a key part in designing and building the core data environment that powers AI products, reporting, and complex partner integrations. You'll work closely with engineering, product, and business teams to turn raw data into reliable, scalable systems that directly support production AI use cases.
Required Skills & Experience
Our client is an AI-driven insurance technology company transforming how insurers, agents, and customers operate through intelligent automation and data-powered decisioning. They are building a modern, cloud-native data platform from the ground up to support large-scale integrations, real-time analytics, and AI models across the insurance lifecycle.
They are seeking a Data Engineer to join their growing team. This is a full-time, hybrid role where you will play a key part in designing and building the core data environment that powers AI products, reporting, and complex partner integrations. You'll work closely with engineering, product, and business teams to turn raw data into reliable, scalable systems that directly support production AI use cases.
Required Skills & Experience
- Bachelor's degree in Computer Science, Data Engineering, or a related field
- 5+ years of experience in data engineering or backend data-focused roles
- Strong expertise in SQL, data modeling, and building robust ETL/ELT pipelines
- Experience designing systems that support large-scale data integrations
- Hands-on experience with relational databases (Postgres, MySQL, or similar)
- Familiarity with distributed data and streaming systems (Spark, Kafka, Flink, or equivalent)
- Experience working in cloud environments (AWS, Google Cloud Platform, or Azure preferred)
- 70% Data Platform & Pipeline Development
- 20% System Design & Large-Scale Integrations
- 10% Cross-team Collaboration & Documentation
- Build and maintain scalable batch and real-time data pipelines that power AI-driven insurance products
- Design and evolve the core data architecture supporting analytics, machine learning, and external integrations
- Work on complex inbound and outbound data integrations with partners, carriers, and internal systems
- Optimize data models and pipelines for performance, reliability, and data quality
- Collaborate with product managers, backend engineers, and AI teams to deliver production-ready data solutions
- Monitor pipeline health, implement observability, and ensure high data integrity across systems
- Competitive base salary
- Bonus eligibility
- Comprehensive benefits package including:
- Medical, Dental, and Vision Insurance
- Paid Time Off (PTO)
- 401(k) with company match
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.