Data Product Engineer - Azure Data Platform

Berkshire-Hathaway-Direct-Insurance-Company; Pittston Township (PA); Presencial; USD 100.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Insurance

Vision / Disability / Life Insurance

Generous PTO

Paid holidays + 4 floating holidays

Parental leave

401(k) with company match

Tuition reimbursement

Service Recognition program

Descripción de la vacante

biBerk is building a cloud-first, API-driven data platform and seeks a Data Product Developer to analyze data quality and issues across Azure SQL and Azure Cosmos DB. Reporting to the Database Services Team Lead in an Agile SDLC, you will bridge knowledge between teams, document data processes, and ensure data standards are understood and applied across our technology stack.

The ideal candidate will have 5+ years in data roles, strong SQL, ETL, and data modeling skills, and a customer-focused

Formación

• 5+ years in a data/product or equivalent role.
• Bachelor’s or Master’s degree or equivalent work experience.
• Strong attention to detail and security-minded mindset.

Responsabilidades

• Contribute to sprint-based delivery using Azure DevOps.
• Diagnose and resolve data issues in Azure SQL and Cosmos DB.
• Design and maintain data integration/ETL processes with Azure Data Factory.

Conocimientos

Attention to detail

Insurance domain knowledge

Communication skills

Curiosity / problem solving

Team player

Educación

Bachelor’s or Master’s degree in related field

Herramientas

Azure Cosmos DB

Azure SQL

Azure DevOps

Azure Data Factory

Git

Change Tracking

IDE: VS/VS Code

Descripción del empleo

biBerk is building a cloud-first, API-driven data platform and seeks a Data Product Developer to analyze data quality and issues across Azure SQL and Azure Cosmos DB. Reporting to the Database Services Team Lead in an Agile SDLC, you will bridge knowledge between teams, document data processes, and ensure data standards are understood and applied across our technology stack.

The ideal candidate will have 5+ years in data roles, strong SQL, ETL, and data modeling skills, and a customer-focused