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Job details

Senior Data Engineer - job 30 of 50

Job Summary

A company is looking for a Senior or Lead Data Engineer to be the founding member of their new data team.

Key Responsibilities
  • Design, build, and optimize scalable data pipelines using Apache Spark, Kafka, and related tools
  • Architect and manage infrastructure in AWS, including services like S3, Kinesis, and Redshift
  • Establish standardized data ingestion, transformation, and storage processes across multiple product lines
Required Qualifications
  • 5+ years of experience in data engineering, ideally in SaaS or multi-product environments
  • Expertise in AWS services relevant to data infrastructure (S3, Glue, Redshift, etc.)
  • Strong proficiency in Python for building pipelines and infrastructure automation
  • Deep hands-on experience with Apache Spark and Kafka
  • Solid experience with Airflow or equivalent orchestration tools

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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MATCH
VIEW MATCH
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
August 8, 2025

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