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Senior Data Engineer - job 20 of 50

Job Summary

A company is looking for a Senior Data Engineer to design, develop, and maintain data pipelines and infrastructure in a remote capacity.

Key Responsibilities
  • Operate and own production data pipelines, ensuring data quality, reliability, and rapid incident resolution
  • Design, build, and optimize batch and streaming pipelines using Airflow and manage data in a Redshift-based warehouse
  • Collaborate with business stakeholders to support reporting and analytics, while championing best practices in data engineering


Required Qualifications
  • 5+ years of experience in designing and operating production data pipelines and warehouses
  • Bachelor's or Master's degree in Computer Science
  • Expert-level proficiency in Python and advanced SQL for data processing and analytical workloads
  • Experience with AWS services and core data-engineering technologies such as Airflow and Apache Spark
  • Foundational knowledge of NoSQL technologies like MongoDB and DynamoDB

Average salary estimate

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

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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TEAM SIZE
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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
May 29, 2025

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