[Hiring] Data Engineer II @Drips

Role Description

The Data Engineer II is a senior individual contributor on the Data & Reporting team responsible for translating business questions into clear reporting solutions, building data pipelines, conceptualizing and delivering trusted dashboards and analyses, and helping stakeholders move faster with better data. This role is best suited for someone with strong SQL skills, experience clarifying complex reporting needs, and the ability to turn raw backend data into actionable insights.

This role partners closely with business stakeholders and technical teammates to understand reporting needs, validate data, improve reporting outputs, and support a more scalable self-service data environment over time.

Qualifications

• 5+ years of experience in data analytics, business intelligence, reporting, or a closely related role.
• Strong SQL skills with the ability to work independently across complex reporting requests.
• Experience building dashboards and analytical outputs that help stakeholders make decisions.
• Ability to clarify vague or complex reporting requests and convert them into structured deliverables.
• Strong analytical thinking, attention to detail, and data validation instincts.
• Clear written and verbal communication skills, including the ability to explain findings to non-technical stakeholders.
• Comfort working across multiple systems and data sources in a fast-moving environment.

Requirements

• Experience with Tableau or similar BI tools.
• Experience working with Salesforce, operational reporting, or client-facing reporting needs.
• Familiarity with data governance, standardized definitions, and self-service reporting models.
• Experience partnering with data engineers or working in an environment with evolving data platform capabilities.

Benefits

• Stakeholders receive faster, clearer, and more trusted answers to reporting questions.
• Dashboards and recurring reports are accurate, maintainable, and aligned to business definitions.
• Reporting requests are better scoped up front, reducing rework and confusion.
• Data issues and discrepancies are identified and resolved quickly.
• The team is better positioned to scale reporting through governed data sources and self-service access over time.