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Job details

Senior Data Engineer - job 20 of 50

Job Summary

A company is looking for a Senior Data Engineer to join their data team.

Key Responsibilities:
  • Design, build, and optimize scalable data pipelines using PySpark and Python in AWS environments
  • Collaborate with cross-functional teams to develop end-to-end data workflows and solutions
  • Develop and maintain reusable code libraries and data engineering best practices
Required Qualifications:
  • 8+ years of total software/data engineering experience
  • Strong command of Python programming for data processing, API integrations, and automation
  • Hands-on expertise with PySpark and SparkSQL for handling large-scale distributed data
  • Deep understanding of cloud-based data architecture
  • Experience with CI/CD workflows and version control (e.g., Git)

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

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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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
June 11, 2025

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