Data Engineer: Build Scalable GCP Pipelines & Insights

7 Brew Coffee; Springdale (AR); On-site; USD 90,000 - 120,000; Full time

Job summary

7 Brew Coffee is seeking a hands-on Data Engineer to map data from new sources into our GCP analytics environment, build robust ETL pipelines, and ensure scalable, reliable data flows.

You’ll collaborate with analysts and business users, write Python/SQL scripts, and help Power BI developers access clean data for insights. If you enjoy solving real-world data problems in a fast-growing QSR setting, apply now.

Qualifications

• 3+ years hands-on data engineering experience.
• Experience mapping and transforming data from diverse systems.
• Strong communication and cross-functional collaboration.
• Detail-oriented with focus on data quality.

Responsibilities

• Map data from new sources into existing GCP models and structures.
• Design and maintain robust ETL/ELT pipelines in GCP.
• Write Python/SQL scripts to automate data ingestion and transformation.
• Support Power BI developers with clean, structured data.
• Identify and resolve data quality issues and inconsistencies.
• Explore new data sources to enhance analytics and reporting.

Skills

Data mapping

ETL pipelines

Python

SQL

Shell scripting

GCP

Data quality

Cross-functional collaboration

Education

Bachelor's degree in Data, Information Technology, or related field

Tools

Power BI

BigQuery

Cloud Functions

Cloud Storage

Dataflow

Cloud Composer/Airflow

Job description

7 Brew Coffee is seeking a hands-on Data Engineer to map data from new sources into our GCP analytics environment, build robust ETL pipelines, and ensure scalable, reliable data flows.

You’ll collaborate with analysts and business users, write Python/SQL scripts, and help Power BI developers access clean data for insights. If you enjoy solving real-world data problems in a fast-growing QSR setting, apply now.