Lead Data Engineer: GCP, Spark & Airflow

UST

Bentonville (AR)

On-site

USD 92,000 - 138,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
401(k) with employer matching
Paid time off and holidays

Job summary

UST in Arkansas is seeking a Data Engineer with 6+ years of designing and supporting scalable data pipelines and enterprise data platforms using GCP, Airflow, Java/Spark, and SQL.

You will optimize Spark jobs, design ETL/ELT pipelines, and collaborate with analysts and data scientists to deliver analytics-ready datasets.

This role offers full-time employment with a comprehensive benefits package and opportunities to work across global teams.

Qualifications

  • 6+ years of experience in designing, developing, and maintaining scalable data pipelines.
  • Hands-on experience with GCP, Apache Airflow DAGs, Spark and Java/PySpark.
  • Strong SQL skills and data modeling for analytics.

Responsibilities

  • Develop reusable data processing frameworks ensuring data quality and reliability.
  • Optimize Spark jobs for performance and cost efficiency.
  • Code reviews, testing, deployment, and production support for Airflow pipelines.
  • Design and maintain ETL/ELT pipelines ingesting data into data warehouses and data lakes.
  • Collaborate with stakeholders to deliver analytics-ready datasets.
  • Monitor and troubleshoot data pipelines and database performance.
  • Work with global teams across associates and suppliers.

Skills

BigQuery
Apache Airflow
Spark/Java/PySpark

Tools

GCP
GCS
Relational Databases Data Modeling
Kafka
Terraform

Job description

UST in Arkansas is seeking a Data Engineer with 6+ years of designing and supporting scalable data pipelines and enterprise data platforms using GCP, Airflow, Java/Spark, and SQL.

You will optimize Spark jobs, design ETL/ELT pipelines, and collaborate with analysts and data scientists to deliver analytics-ready datasets.

This role offers full-time employment with a comprehensive benefits package and opportunities to work across global teams.

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