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Data Engineer

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Onsite

Data Engineer

7 Brew Coffee

Data Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonGoogle BigQueryData AnalysisApache AirflowProcess ImprovementPower BI

1 month ago

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Important information


Contract type:

Permanent

Location:

Springdale, AR, USA

Work mode:

Onsite

Published on:

11 September 2026

What they need


WHO IS 7 BREW...

7 Brew is a rapidly expanding drive through beverage experience with over 804 locations across 38 states in the US. We are one of the fastest-growing QSR brands in the world, with plans to open more domestic locations in 2026.

We're passionate about crafting delicious and unique beverages while providing a fast and friendly customer experience. We believe in creating a vibrant and energetic work environment where our team members can thrive and grow.

Our mission is to cultivate kindness one tasty drink at a time.

WHAT’S BREWING IN THIS ROLE...

We're looking for a hands-on Data Engineer who’s a true do’er someone who thrives on solving real-world data problems and turning complexity into clarity. You’ll play a critical role in mapping data from new systems into our existing Google Cloud Platform (GCP) analytics environment, ensuring seamless data flows, transformation, and insight generation.

You’ll be the glue between source systems and analytics, responsible for rebuilding current data capabilities using new system inputs, all while ensuring performance, scalability, and integrity.

THE FLAVOR YOU ADD...

  • Data Mapping & Integration: Analyze and map data from new source systems to our existing data models and structures in GCP.
  • ETL & Data Pipelines: Design, build, and maintain robust ETL/ELT pipelines using GCP tools and custom scripting to move and transform data.
  • Scripting & Automation: Write scripts (e.g., Python, SQL, Shell) to automate data ingestion, transformation, and scheduling processes.
  • Environment Maintenance: Maintain and enhance the data and analytics environment by ensuring reliability and data accuracy.
  • Analytics Enablement: Support Power BI developers and analysts by delivering clean, structured, and accessible data.
  • Problem Solving: Proactively identify and resolve data inconsistencies, missing data, and other data quality issues.
  • Data Discovery: Identify and assess new data sources that can enrich analytics and reporting capabilities.
  • Scheduling & Orchestration: Use tools (e.g., Cloud Composer, Airflow, or similar) to schedule and monitor data workflows.

MUST-HAVE INGREDIENTS...

  • Someone who doesn’t wait for perfect documentation—you're willing to dig in and figure things out.
  • A builder mentality—ready to roll up your sleeves and write the code yourself.
  • Excellent communicator who can work cross-functionally with analysts, data scientists, and business users.
  • Detail-oriented with a passion for data quality and process improvement.
  • 3+ years of hands-on experience in data engineering, with a strong track record of mapping and transforming data from diverse systems.
  • Experience working with Power BI or similar BI tools to understand downstream data needs.
  • Demonstrated ability to write scalable and efficient data pipelines.
  • Strong analytical and problem-solving skills; able to dissect complex data structures and find elegant solutions.
  • Comfortable working in agile environments with shifting priorities and hands-on technical challenges.

TECHNICAL SKILLS

  • Proficient in SQL, ETL tools, and data scripting languages (Python preferred).
  • Strong experience with Google Cloud Platform (BigQuery, Cloud Functions, Cloud Storage, Dataflow, etc.).

EDUCATION

  • Bachelor’s degree in Data, Information Technology, or a related field.

WHY JOIN 7 BREW?

At 7 Brew, you’ll be part of one of the fastest-growing QSR brands in the U.S. We offer opportunities for career development, a supportive team culture, and the chance to make a difference while having fun at work.

If you’re excited to join a team that values kindness, speed, and great drinks—we’d love to hear from you!

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