Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and sustain a straightforward, efficient, and scalable data warehouse on Snowflake, featuring clean models, appropriately named fields, and comprehensive documentation to facilitate ease of use for downstream users and systems.

• Implement and oversee data transformation using dbt to ensure the reliability of well-tested data pipelines.

• Create and enhance data models, semantic layers, and metric definitions that cater to a broad spectrum of business requirements while maintaining data consistency and accuracy across the organization.

• Take ownership of data quality, observability, and testing to shield downstream consumers from erroneous or misleading data.

• Develop and improve internal AI tools (skills, agents, etc.) to enhance the effectiveness of the Data Engineering team.

• Collaborate with analysts, product engineers, and business stakeholders to comprehend their needs, outline suitable solutions, and deliver results.

• Guide analysts and colleagues, promoting a culture of learning, rigor, and continuous improvement.

• Actively identify operational challenges and suggest progressive solutions.

⛳️ Requirements

• Over 5 years of experience in data engineering, with a proven history of managing systems from start to finish.

• Proficient in SQL, Python, and data modeling, with strong opinions on design strategies and best practices.

• Practical experience with dbt and Snowflake.

• Familiarity with clickstream or event data.

• Proven ability to design and deploy scalable data systems.

• Comfortable utilizing AI tools (such as Claude Code, Cursor, or similar) in your daily tasks.

• Exceptional written communication skills — producing clear documentation, well-defined specifications, and the capability to convey technical trade-offs to non-technical stakeholders.

• Strong project ownership skills: defining requirements on the go, communicating trade-offs, and delivering results within set timelines.

• Ability to use abstraction to tackle complex problems.

• Experience in designing semantic layers, metric stores, or data contracts is preferred.

• Background in building A/B testing or experimentation frameworks is preferred.

• Experience in developing or contributing to internal AI tools — skills, agents is preferred.

🏝️ Benefits

• 91% coverage of employee health and welfare benefits premiums and 70% for dependent benefits premiums.

• A 401(k) plan with employer matching contributions.

• 15 paid vacation days (increasing to 20 days after your 3rd anniversary), 12 recognized national paid holidays, 9 sick days, and 16 paid volunteer hours annually.

• 7 paid days for company-wide year-end closure (including 3 recognized paid holidays).

• Our adaptable work culture allows for 2 or more days in the office (hybrid) or 100% remote options available for most roles.