Job Title:

Data Engineer – Databricks & Azure

Location:

Columbus, OH preferred / Remote (US or Canada)

Experience Required:

7–12 years

Compensation:

$150K USD / CAD $170K–$190K

Job Type:

Full-Time

Position Overview:

We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operations.

Responsibilities:

Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models

Develop and maintain scalable and efficient data pipelines

Implement robust data checks and validate large datasets

Monitor data jobs and troubleshoot issues

Review and audit data processes for compliance

Work within Agile methodologies including scrum and sprint planning

Qualifications:

Bachelor’s degree in Computer Science, IT, or related field

7–12 years of experience in Data Engineering with Databricks & Cloud

Strong proficiency in PySpark, Python, SQL

Experience in data modeling, ETL/ELT pipeline development, and automation

Hands-on experience with Azure Data Factory, Azure Databricks, Azure Data Lake

Experience with Delta Lake, Delta Live Tables, Autoloader & Unity Catalog

Preferred: Knowledge of insurance industry data requirements

Strong analytical and communication skills

This is a remote position.