Data Operations Engineer

SonderMind

Data Operations Engineer focusing on Snowflake performance and reliability at SonderMind. Collaborating with Data Engineering and Analytics teams to optimize data pipelines and infrastructure.

Posted 5/5/2026full-timeRemote • Colorado • 🇺🇸 United StatesMid-LevelSenior💰 $132,000 - $148,500 per yearWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

The Iceberg Bridge: Own the execution and monitoring of data pipelines moving from the Data Engineering Iceberg warehouse into the Snowflake Business environment.
Staging Layer Excellence: Architect and build a high-quality staging layer in Snowflake. Implement robust data validation and cleaning processes at the point of entry to ensure downstream reliability.
Snowflake Sovereignty: Manage Snowflake schemas, roles, and warehouse configurations. Implement a "Least Privilege" RBAC model aligned with Data Governance Team to secure business data while enabling high-velocity access.
Pipeline Stability: Monitor, troubleshoot, and optimize all downstream data pipelines. Your goal is to eliminate data failures in the refined layers and ensure 99.5% availability for core data assets.
Performance Engineering: Continuously audit and tune Snowflake performance. Identify and resolve bottlenecks in data processing to maintain sub-second response times for AI interfaces and dashboards.
dbt Partnership: Work side-by-side with Analytics Engineers to optimize dbt transformation logic, ensuring the "Source of Truth" is built on the most efficient and reliable staging tables possible.
AI-First Foundation: Structure data schemas specifically for AI consumption, ensuring that our AI Agent Analysts have clean, well-indexed, and logically partitioned data to power Snowflake Cortex.
External Data Integrations: Partner with the Manager of AI Data Enablement to automate data pipelines for external partners and payors.

Requirements

What you’ll need

Snowflake Power User: You have extensive experience building and managing Snowflake environments, including advanced knowledge of task management, clustering, and security models.
The "Reliability" Mindset: You treat data pipelines as production software. You are obsessed with monitoring, alerting, and building self-healing systems.
SQL & dbt Expert: You write expert-level SQL and have deep experience with dbt. You understand how to translate raw tables into clean, performant, and governed models.
Technical Translator: You can navigate the world of raw ingestion and table formats (Iceberg) while understanding the business-critical needs of analytics and AI.
Execution-Focused: You have 6+ years of experience in Data Engineering, with a proven track record of owning and stabilizing complex data environments.
Education: B.S. or M.S. in Computer Science, Software Engineering, or a related field (or equivalent professional experience).

Benefits

Comp & perks

A generous PTO policy, with a minimum of three weeks off per year
A holiday schedule that follows standard U.S. holidays
Free therapy coverage benefits to ensure employees have access to the care they need (must be enrolled in a qualifying medical plan to participate)
Competitive Medical, Dental, and Vision coverage, with plans to meet every need — including HSA (with $1,100 company contribution) and FSA options
Employer-paid short-term disability, long-term disability, life & AD&D, plus coverage of the salary difference for up to seven weeks of short-term disability leave (after the required waiting period)
Eight weeks of paid Parental Leave; if the parent also qualifies for STD, this benefit is in addition, allowing for 8–16 weeks of paid leave
401(k) retirement plan with 100% match on up to 4% of base salary, immediately vested
Join teammates from across the country at our annual company gathering
Company shutdown between Christmas and New Year’s
Supplemental life insurance, pet insurance, commuter benefits, and more

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SnowflakeSQLdbtdata pipeline managementdata validationdata cleaningdata governanceperformance tuningdata schema designdata integration

Soft Skills

execution-focusedreliability mindsetmonitoringtroubleshootingoptimizationcollaborationtechnical translationproblem-solvingattention to detailself-healing systems