SECTION I · THE BRIEF
Brief #24830Updated 04 NOV 2026AKRON, OHBreezySOFTWARE COMPANIES
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Data Engineer II

Drips helps companies engage with their consumers more effectively. How do we do it? Through an AI-powered, conversational outreach platform that includes human-like two-way texting, scheduled calling and voicemail…

Location
Akron, OH
Company size
50–200
Posted
Yesterday
Via
Breezy
Section II · Full ProfileFree with an account
  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Headcount & which departments are hiringLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked

Free · 2 minutes · the funding and stack behind this role

Data Engineer II

Drips· Akron, OHView company profile


Job title
Data Engineer II
Job location
Akron, OH
Job description

Job Description: Data Engineer II

About the Role

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.


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