Data Engineer II

Drips; Oregon; Hybride; USD 110 000 - 150 000; Plein temps

Résumé du poste

Drips is seeking a Data Engineer II to join the Data & Reporting team in Oregon. You will translate business questions into clear reporting solutions, build data pipelines, and deliver trusted dashboards and analyses to help stakeholders move faster with better data.

The role emphasizes strong SQL, collaborating with stakeholders, and turning raw backend data into actionable insights while supporting scalable self-service data environments over time.

Qualifications

• 5+ years in data analytics, BI, or related role.
• Strong SQL skills for complex queries.
• Experience building dashboards for decision making.
• Ability to clarify reporting needs and deliver structured outputs.
• Excellent written and verbal communication.

Responsabilités

• Understand reporting needs and define analytical approach.
• Write and refine SQL queries to extract and analyze data.
• Build and improve dashboards delivering clear insights.
• Work across Salesforce and other data sources to support reporting.
• Validate data quality and troubleshoot issues.
• Translate findings into clear summaries for leaders.
• Contribute to documentation and reporting standards.

Connaissances

SQL

Data analytics

Dashboards

Stakeholder communication

Data validation

Cross-system data sources

Outils

Tableau

Salesforce

Description du poste

Job Description: Data Engineer II

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.

Key Responsibilities

• Partner with internal stakeholders to understand reporting needs, clarify business questions, and define the right analytical approach.
• Write and refine SQL queries to extract, validate, and analyze data from core business systems.
• Build, maintain, and improve dashboards and recurring reporting assets that deliver clear, accurate insights to teams across the business.
• Work across backend data sources, including systems such as Salesforce and Manage, to support reporting and analysis needs.
• Validate data quality, investigate discrepancies, and troubleshoot reporting issues to improve trust in outputs.
• Translate complex findings into clear, usable summaries for both operational and leadership audiences.
• Support the broader shift toward governed, accessible data products and more scalable reporting practices.
• Contribute to documentation, repeatable reporting standards, and continuous improvement of team workflows.

Required Skills & Experience

• 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.

Preferred Qualifications

• 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.

What Success Looks Like

• 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.