Staff Data Engineer

Role Overview

• Build and own the platform backbone for governed reporting and trusted AI workflows.
• Make strategic architecture calls and build, harden, or rebuild pipelines.
• Partner closely with Analytics, Engineering, and vendors to turn fragmented source systems into trustworthy data products.
• Ensure our data infrastructure integrates securely and reliably with core operational systems.
• Handle requirements, source profiling, ingestion design, QA, documentation, and support for data integrations.
• Manage dependencies, retries, alerts, incident response, and monitoring for pipeline reliability.
• Help retire brittle reporting paths and manage Snowflake governance, data contracts, and data observability.

Requirements

• Deep data engineering judgment.
• Hands-on depth.
• Strong ingestion fundamentals.
• Snowflake fluency.
• Data quality discipline.
• Ownership & communication.
• Cross-functional partnership.
• AI leverage.

Benefits

• Company-subsidized medical, dental, and vision plans.
• 401(k) plan with company match.
• Life insurance at no cost to employees.
• Generous time off plan, including rollover vacation days.
• Health care and dependent care flexible spending accounts.
• Commuter benefits.
• Remote working model.
• Weekly breakfast, snacks, and Friday lunches provided onsite.