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Job details

Data Engineer - job 33 of 50

Job Summary

A company is looking for a Data Engineer to design, build, and manage data pipelines for analytics use cases.

Key Responsibilities
  • Design, implement, and maintain scalable data pipelines using Apache Airflow or Dagster
  • Collaborate with Platform and Product teams for efficient data ingestion and transformation
  • Ensure data integrity and optimize performance in data processing workflows
Required Qualifications
  • 3+ years of experience in data engineering focused on data pipelines
  • Strong proficiency in Python and experience with Apache Airflow or Dagster
  • Expertise in Data Warehouse, Data Lake, and Lakehouse architectures
  • Deep understanding of ETL/ELT processes and data transformation techniques
  • Experience with cloud-based data platforms (AWS, Azure, GCP)

Average salary estimate

$110000 / YEARLY (est.)
min
max
$90000K
$130000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
August 6, 2025

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