Senior Data Engineer

Salary

Core Qualifications

Preferred Qualifications

Key Responsibilities

• •Help evaluate and choose the tools for our data stack: data warehouse, ELT, and orchestration — and make architecture-level calls together with your manager, not just implement someone else's design.
• •Build and maintain data pipelines, and mentor and unblock your peer day-to-day, without formal management responsibility.
• •Add data quality checks to every pipeline change: null checks, row counts, schema validation, and dbt tests (or equivalent) as standard practice, not an extra step.
• •Break your work into small, deployable increments and keep pull requests focused.
• •Monitor pipeline outputs after every deployment and keep the codebase easy to work with.
• •Respond quickly to pipeline failures, investigate the root cause, and escalate when an issue is bigger than the two of you.
• •Review pull requests with constructive feedback, pair with your peer on complex or unfamiliar work, and help set the technical bar the team grows on.
• •Communicate early when changes affect downstream consumers such as BI, ML, or customers, and prioritize based on customer impact.
• •Share what you've learned from past platform builds — including what you'd do differently — and help translate that into how this team works.