Join an innovative InsurTech MGA as a Data Engineer to design and deliver scalable data systems. Collaborate with engineering, product, and actuarial teams to build data infrastructure and pipelines. Champion data best practices and foster a data-driven culture.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Data Engineer
An innovative InsurTech MGA is reimagining Specialty insurance through modern technology and data-driven decision-making. Backed by a leadership team with deep industry expertise, this fast-growing business is building the next generation of insurance infrastructure — agile, intelligent, and scalable.
You’ll join a high-performing, fully remote team where collaboration, ownership, and continuous learning drive everything we do.
Must-Have Skills
- 3+ years’ Data Engineering experience
- Strong SQL and NoSQL skills
- Experience with data modeling, ELT pipelines, and data warehousing
- Cloud expertise (AWS, Azure, or GCP)
- Familiarity with Snowflake, Databricks, or BigQuery
- Knowledge of Infrastructure-as-Code (IaC) and data security best practices
- Proficiency with data visualization tools (Power BI, Tableau, or Looker)
The Role
As a Data Engineer, you’ll design and deliver scalable data systems that power everything from underwriting to analytics. You’ll collaborate with engineering, product, and actuarial teams to build the infrastructure, pipelines, and governance that enable smarter, faster decisions.
Key Responsibilities:
- Build and maintain a modern, scalable data stack across multiple cloud platforms
- Design and optimize data pipelines, models, and governance frameworks
- Ensure data quality, reliability, and security across systems
- Translate business needs into technical solutions
- Champion data best practices and foster a data-driven culture
Bonus Skills
- Startup or high-growth environment experience
- Experience with Terraform, dbt, Fivetran, HevoData, or Airflow
- Exposure to insurance data challenges, AI/ML, or predictive analytics
- STEM degree or strong background in data science/statistics
Please note, only people with full right to work in the United States will be considered.