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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