Data Engineer

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Description

As a Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making. Our data platform is built on Snowflake as the analytics warehouse, with Airflow orchestrating our SQL and Python pipelines. We ingest data through Fivetran and S3-based Snowpipe, manage our infrastructure as code with Terraform on AWS, and monitor data quality with Monte Carlo and Snowflake native DQ. AI is part of how we work: we use Claude to speed up development, validation, and on-call triage across the stack. Key Responsibilities Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources.. Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions.. Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse.. Develop and optimize analytics-oriented data models to support business decision-making.. Champion data quality, consistency, and governance across the analytics layer.. Qualifications 3+ years of experience as a Data Engineer or in

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