Bat Around™ is hiring a Data Engineer to build and scale the data infrastructure for our AI-driven insurance analytics and risk exchange platform. You will be pivotal in designing and developing data pipelines from the ground up.

What You'll Do

Design, develop, and maintain robust, metadata-driven data pipelines for both batch and real-time processing.
Ingest, transform, and cleanse varied datasets from internal sources, partners, and third-party providers.
Develop and support cloud-based infrastructure, APIs, and data services that drive our SaaS platform.
Ensure data quality through effective monitoring, metrics, validation, and DataOps practices.
Collaborate closely with product managers, data scientists, analysts, and engineers to deliver scalable solutions.
Continuously refine pipelines for better performance, scalability, and reliability.

What We're Looking For

Proven experience as a Python Developer (3–5 years or more), with a clear progression into data engineering.
Hands-on experience building data pipelines from scratch using Python.
Strong SQL skills and familiarity with modern data stack tools.
Experience with cloud platforms, preferably AWS.
Solid understanding of DataOps methodologies and tools.

Nice to Have

Familiarity with Snowflake, dbt, or similar modern data warehousing and transformation tools.
Experience managing both structured and unstructured datasets.
Exposure to AI/ML workflows or infrastructure.
Background in real-time data ingestion or API-based data services.

Technical Stack

Python
SQL
AWS
Snowflake
dbt

Team & Environment

You will be part of our Technology / Data Platform team, contributing to a mission-driven platform that bridges technological innovation with insurance industry transformation.