Senior Engineer

Job Description

What if you could use your technology skills to develop a product that impacts the way communities' hospitals, homes, sports stadiums, and schools across the world are built? Construction impacts the lives of nearly everyone in the world, and yet it's also one of the world's least digitized industries. That's why we're looking for a talented Senior Data Infrastructure Engineer to join Procore's journey to revolutionize a historically underserved industry.

As a Senior Data Infrastructure Engineer, you'll join a highly skilled team of engineers that are responsible for keeping data systems that support all user-facing Procore services and other production systems running smoothly 24/7. Our engineers apply a mix of data engineering, SRE, and software development disciplines to simplify and automate a range of data infrastructure work including provisioning and management of data stores, event streams, and large scale compute clusters. As a Senior Engineer, you'll implement, scale, and support for all things related to Procore's data systems.

This position will report to the Director, Data Mesh and will be based in our Austin Office. We're looking for someone to join us immediately.

What you'll do:

Design and troubleshoot data systems powering and serving the data lakehouse, databases, event stores, and large-scale data processing engines

Leverage subject matter and technical expertise to implement clean and well documented solutions.

Design and implement self-service tools enabling development teams to quickly deploy their own data infrastructure and pipelines with appropriate guardrails in place to ensure reliability

Proactively identify and prevent performance, cost, and scalability issues

Stay on top of industry and technology trends

What we're looking for:

BS degree in Computer Science or equivalent practical experience; MS in Computer Science is preferred

3+ years of experience working in the cloud and managing large amounts of data at rest and in flight

Experience with Terraform, AWS, Kubernetes

Experience with data streaming and processing technologies like Kafka, Flink, Spark, and data processing ecosystems.

Experience with large-scale data lakes

Strong scripting / light coding skills