Senior Software Engineer, Data Platform

• Evolve the data platform leveraging AWS services such as Kinesis/Kafka, Glue, EMR, Lambda, and Redshift to support streaming, batch, and analytical workloads at scale.
• Design and implement robust data ingestion and transformation pipelines, ensuring reliability, performance, and schema consistency across diverse data sources.
• Establish and enforce data quality, validation, and observability standards, building automated checks and alerts using CloudWatch, Datadog and custom frameworks.
• Optimize data storage and lifecycle management through intelligent S3 partitioning, versioning, and lifecycle policies to balance performance, cost, and retention.

This role creates positive change by enabling reliable, scalable data systems that power innovative solutions to transform transit systems, enhance street safety, and drive toward a sustainable future through computer vision technology.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 6+ years of experience in software or data engineering, focused on large-scale big-data systems and low latency systems.
• Strong proficiency in Python, Scala or Java for data processing and automation.
• Hands-on experience with AWS data services such as Kinesis/Kafka, Glue, EMR, Iceberg, Redshift, S3, and Lambda.

No specific benefits, compensation, or perks mentioned in the job description.

Hayden AI harnesses the power of computer vision to transform how transit systems and government agencies address real-world challenges, empowering clients to accelerate transit, enhance street safety, and drive toward a sustainable future.