Data-DevOps Engineer - REMOTE
Company: K2 Insurance Services, LLC
Location: San Diego, CA 92123 (Remote)
Salary: $105,000 - $125,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-03-23
About this role
Data-DevOps Engineer - REMOTE
Full Time
San Diego, CA, US
Salary Range: $105,000 To $125,000 Annually
Data-Dev Ops Engineer – K2 Insurance Services
K2 Insurance Services, LLC is seeking a Data Engineer with a strong Azure DevOps focus to join our engineering team. This role will support the development, maintenance, and optimization of data solutions that enable business insights across the organization, while also playing an active role in owning and enhancing our Azure DevOps–based CI/CD pipelines. The ideal candidate is an eager data professional with strong SQL skills, hands‑on experience with relational databases (preferably cloud‑based), and solid, practical experience working with Azure DevOps and modern cloud engineering practices.
You will work closely with data engineers, analysts, and business stakeholders to design and build reliable data pipelines, maintain data quality, and support analytics and reporting initiatives within the insurance domain, while also contributing to the development, maintenance, and continuous improvement of Azure DevOps–based CI/CD pipelines and deployment processes. This role will involve a mix of data engineering and Azure DevOps responsibilities, with opportunities to grow in both areas.
K2 Insurance Services offers the opportunity to join an established company in growth mode. Our compensation program includes competitive pay; bonus plan; medical, dental, and vision insurance; paid time‑off in year of hire; and a 401(k) with employer match.
Key Responsibilities:
- Data Engineering & Development
- Develop, optimize, and maintain complex SQL queries, views, and python-based notebooks.
- Build and support ELT data pipelines from structured and unstructured data sources.
- Work with Databricks to source data from relational databases to store, retrieve, and transform data efficiently.
- Collaborate with analysts and stakeholders to interpret business requirements, translate them into effi...