Senior Data Engineer (AI Native)

Requirements

• 5+ years of experience in high-volume data engineering or distributed data systems.
• Strong expertise in Databricks, AWS (S3, EMR, Kinesis/Kafka), Apache Spark/Spark Streaming, Airflow, SQL, and Python (Scala or Java is a plus).
• Proven experience building and maintaining large-scale batch and streaming data pipelines in production environments.
• Solid understanding of data modeling (logical and physical), SQL optimization, and performance tuning.
• Hands-on experience with data quality and validation frameworks (e.g., Great Expectations or similar tools).
• Familiarity with Infrastructure-as-Code tools such as Terraform and cloud infrastructure best practices.
• Demonstrated ability to work effectively in AI-native environments using LLM tools for code generation, review, and workflow automation.
• Strong ability to evaluate, refine, and take ownership of AI-generated code and outputs before production deployment.
• Excellent communication skills with the ability to work independently in a remote-first environment.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.

Benefits

• Competitive salary: $103,500 – $192,000 USD depending on experience and location.
• Equity participation as part of the compensation package.
• Comprehensive health benefits including medical, dental, vision, life, and disability coverage (fully paid for US-based employees).
• Retirement plans including 401(k) with employer match.
• Employee Assistance Program (EAP) supporting mental health and wellbeing.
• Flexible PTO policy and company-wide paid time off days throughout the year.
• Learning and development programs to support continuous growth.
• Remote-first work environment with home office equipment and support.
• Access to premium membership benefits for family safety and coordination services.