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Data Engineer (Spark / Airflow)

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Remote

Data Engineer (Spark / Airflow)

Workforce Next

Data Engineer (Spark / Airflow)

Skills

Google Cloud PlatformSQL QueriesPythonKafkaMachine LearningAIAWSApache AirflowAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Remote, OR 97458, USA

Work mode:

Remote

Published on:

4 September 2026

What they need


What youll do

  • Design and maintain ETL/ELT pipelines using Spark and Airflow
  • Build and optimize data warehouses and lakehouse architectures
  • Ensure data quality, lineage, and monitoring across pipelines
  • Partner with AI/ML engineers to prepare training and retrieval data

What were looking for

  • Production experience with Apache Spark and Airflow
  • Strong SQL and Python skills
  • Experience with cloud data platforms (AWS, GCP, or Azure)
  • Understanding of data modeling and warehouse design

Nice to have

  • dbt experience
  • Kafka or streaming pipeline experience

Ready to apply

Submit your resume and we will get back to you if there is a fit.

Apply for this role

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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