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Senior Data Engineer - Remote

Posted Yesterday
Data Analysis
Full Time
USA

Overview

This position is for a Senior Data Engineer who will design, build, and maintain secure and scalable data pipelines, supporting analytics and decision-making that impacts millions.

In Short

  • Design, build, and maintain ETL/ELT pipelines.
  • Model, store, and transform data for analytics.
  • Build API-based and file-based integrations.
  • Ensure compliance with federal security frameworks.
  • Implement monitoring and data quality checks.
  • Deliver AI-ready datasets with data science teams.
  • Support data migration initiatives.
  • Maintain schema management and documentation.
  • Troubleshoot ingestion and data quality issues.

Requirements

  • 5+ years of experience in data engineering.
  • Strong SQL and experience with relational databases.
  • Hands-on with ETL/ELT tools (Talend preferred).
  • Experience with modern data platforms (Snowflake, Redshift).
  • Proficiency in Python or similar.
  • Experience in cloud environments (AWS preferred).
  • Understanding of data lake architectures.
  • Familiarity with security and compliance frameworks.
  • Strong problem-solving skills with complex datasets.

Benefits

  • Fully remote position.
  • Tech & Education Stipend.
  • Comprehensive Benefits Package.
  • Company Match 401(k) plan.
  • Flexible PTO and Paid Holidays.
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Jobgether

Jobgether is a global platform dedicated to connecting job seekers with fully remote job opportunities. The company focuses on matching candidates to roles where they are most likely to succeed, providing valuable feedback on applications to enhance the job search experience. Jobgether aims to eliminate common frustrations in the job market, such as application black holes and recruiter ghosting, by offering a supportive and transparent approach to remote employment.

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