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Data Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Remote, OR 97458, USA
Work mode:
Remote
Published on:
22 August 2026
What they need
Job Summary
Build and maintain production-grade data pipelines and data platforms using Python and Java, working with large datasets, cloud infrastructure, and data warehouses to deliver reliable and scalable data solutions.
Responsibilities
- Build and maintain ETL/ELT pipelines using Python and Java
- Develop data ingestion and transformation workflows from multiple sources
- Design and optimize data models and data warehouse solutions
- Process large datasets using Spark or PySpark
- Monitor, troubleshoot, and improve pipeline performance and reliability
- Collaborate with engineering, analytics, and product teams
What You'll Need
- 3+ years of professional Data Engineering experience
- Strong professional experience with both Python and Java
- Advanced SQL and strong understanding of relational databases
- Hands-on experience with ETL/ELT and data pipeline development
- Experience with Spark/PySpark and Airflow or similar orchestration tools
- Production experience with a cloud platform and data warehouse
Disclaimer: This job posting & 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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