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Senior Data Engineer

Location: Remote
Compensation: Salary
Reviewed: Thu, Aug 27, 2026
This job expires in: 30 days

Job Summary

To support innovative data solutions, the full-time Senior Data Engineer will build and manage fault-tolerant data pipelines using Databricks and Azure, while leveraging SQL and Python in a remote work environment.

Key responsibilities
  • Build and support non-interactive and real-time data pipelines to ensure high availability
  • Lead the implementation of complex data engineering programs and provide consultation
  • Tune queries and perform root cause analysis to resolve software or business process issues
Required qualifications
  • Proficiency in Agentic AI, Snowflake, SQL Server (T-SQL), and PostgreSQL
  • Experience with Python, FastAPI, and scikit-learn
  • Familiarity with Kafka, AWS basics (S3, RDS, Secrets Manager, CloudWatch), and Terraform
  • Proven industry experience in data engineering, analytics, or data science projects
  • Bachelor's or Master's degree in quantitative studies such as Engineering, Mathematics, or Computer Science

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