💰 $153K–$230K salary range
Median: $190K · Based on 73 public job postings · Updated April 19, 2026
Driving the robust data pipelines essential for machine learning model training and deployment, Senior Data Engineers at high-growth companies architect and optimize scalable data infrastructure. They ensure high-quality, real-time data flows critical for AI model development, feature engineering, and inference pipelines.
Compensation for this pivotal role ranges from $153K to $230K, with a median salary of $190K, derived from an analysis of 73 recent job postings. Professionals commanding top pay frequently possess deep expertise in MLOps platforms, vector databases, and advanced distributed stream processing technologies such as Kafka or Flink. Their ability to build and maintain high-performance, fault-tolerant data systems directly impacts the efficiency and success of AI product delivery.
