Data Engineer

HybridPosted July 21, 2026

About the role

Design, build, and maintain data pipelines using Dagster, Airflow, or equivalent
Develop and optimize Snowflake data models, including dynamic tables, streams, tasks, and materialized views

HybridPosted July 21, 2026

Design, build, and maintain data pipelines using Dagster, Airflow, or equivalent
Develop and optimize Snowflake data models, including dynamic tables, streams, tasks, and materialized views

Ingest and process structured and semi-structured data via automated ELT workflows

Write Python for data manipulation, automation, and pipeline development with testing, documentation, and code quality

Manage GitHub version control and CI/CD pipelines for data assets

Build and maintain data lake components, ensuring data integrity, lineage, and quality

Create AI-ready data layers and support semantic layer development for AI analytics on Snowflake Cortex

Monitor pipelines, implement testing, and optimize performance to reduce latency and cost

Collaborate with business analysts and Sales/Distribution/Operations/Finance to translate requirements into technical solutions

Document designs and decisions; align with global data engineering standards

$112,000 - $160,000 + cash incentives

Comprehensive Medical, Dental and Vision Plans; 401k Match; PTO & Paid Holidays; Family Leave; etc.

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