Responsibilities:

Building data pipelines that ingest a variety of manufacturing process metrics and context for in-product data

Building data pipelines to support ML and statistical workflows

Working with the platform team on managing the data pipelines and their robustness and scalability

Working with data scientists and product engineers to develop and deploy solutions to customer problems

Innovating to create the next generation of data capabilities, and product features

Engaging with the technical community to present results externally, and keep up to date on recent advances

Minimum Qualifications:

5 years professional experience as a Data Engineer or advanced degrees (M.S. or PhD) in Computer Science, Statistics, Computer Engineering or related fields

Strong fundamentals with experience in Java, Python, and SQL (bonus: experience in Go)

Knowledge of streaming and distributed systems for Big Data with Apache Beam experience required. Experience with Spark, Samza, Kafka, Dataflow, and Apache Flink preferred.

Experience with ML workflows for modeling large data sets (bonus: experience with time-series data, with real-time data analysis)

Enthusiasm to own projects end-to-end; from experimentation to customer delivery