Senior Data Engineer SQL

📋 Description

• Design, build, and support data pipelines (batch, distributed, real-time) that are highly available
• Develop fault-tolerant, self-healing, adaptive data processing pipelines.
• Lead implementation efforts and provide technical consultation.
• Document data systems, solutions, and projects; optimize SQL queries over billions of rows.
• Collaborate across data engineering, analytics, and data science teams.

🎯 Requirements

• 1+ years in data engineering or related fields, or quantitative degree.
• Strong hands-on SQL Server expertise (T-SQL) and query-intensive workloads.
• Working knowledge of PostgreSQL and reading data from replicated environments.
• Proficiency in Python and FastAPI for data apps/services.
• Experience with scikit-learn and analytics techniques; Kafka data consumption.
• Familiarity with AWS (S3, RDS, Secrets Manager) and Terraform; IaC concepts.

🎁 Benefits

• $110,000–$155,000 annual salary, depending on experience/location.
• Full-time position; remote-friendly with opportunities in the United States.
• Remote and hybrid work options; career advancement and mobility programs.
• Professional development and ongoing learning opportunities.
• Access to modern tools, training, and industry experts.
• Inclusive, autonomous workplace focused on growth and impact.