Pattern
Senior Data Infrastructure Engineer
Lehi, UT, US · Hybrid · Senior · Full-time · Posted Aug 27, 2026
- Experience
- 4+ years.
About the job
Designs, builds, and operates reliable, scalable data infrastructure and platform tools for batch and real-time processing of large-scale data.
What you'll do
- Build and operate data infrastructure, pipelines, and self-service tooling for engineering teams and AI agents.
- Define infrastructure as code and improve platform reliability, observability, security, and performance.
- Collaborate across teams to design and deliver production-ready platform solutions.
What they ask for
- 4+ years of experience in data platform engineering, data infrastructure, or backend software development.
- Strong proficiency building performant, concurrent data services and platform tooling; Go preferred, with Java, Python, Ruby, or Scala accepted.
- Hands-on experience with modern data stacks and Kubernetes, including technologies such as Iceberg, Spark, Kafka, and Trino.
- Proficiency with Terraform or CloudFormation and observability tools; experience tuning relational databases such as Postgres/RDS.
Nice to have
- Production Go experience, Spark-on-Kubernetes operations, CDC-based ingestion, and data catalog or lineage tooling.
- Snowflake or Databricks experience and meaningful open-source data tooling contributions.
Tools
Iceberg, Spark, Kafka, Kubernetes, Terraform, CloudFormation, Prometheus, Grafana
AI focus
Build platform interfaces and safe data access paths for AI agents, and use AI coding tools to increase personal throughput.
Model-written summary · the original posting is authoritative