Software Engineer III

Description

The team builds and runs data pipelines for supply chain work, including pipelines that produce demand forecasts and other business metrics.

This is a Software Engineer III role based at 1375 Crossman Avenue, Sunnyvale, CA 94089.

Responsibilities

• Build data pipelines in the supply chain domain that produce accurate business metrics such as demand forecasts.
• Find and carry out automation and performance improvements that keep running costs low and meet strict downstream SLAs.
• Work with stakeholders to understand varied feature needs, write technical specifications, and propose designs and pipeline builds at large scale.
• Support pipelines after release so the business-serving pipelines run with no downtime.
• Set up the infrastructure these pipelines need.
• Collect and analyze large, complex datasets.
• Share key metrics and datasets with the stakeholders who need them.
• Work with data scientists to create advanced feature engineering pipelines that feed complex production ML models, and share findings on model accuracy.
• Keep production pipelines high in data quality, integrity, security and correctness by writing automated tests and data validity scripts and enforcing strict access policies.

Requirements

• Hold a Master's degree or equivalent in computer science, engineering (any discipline), or a related field.
• No minimum number of years of experience is set, but you must have the skills listed below.
• Graduate coursework, graduate research, or professional experience with these skills counts, in any amount.
• Have designed and built scalable backend systems and data processing frameworks in Python and Java.
• Have built and maintained production ETL pipelines in Java that ingest and transform large data volumes.
• Have designed distributed data systems that use parallel computing to improve processing speed and resource use at scale.
• Have applied object-oriented design patterns to build modular, maintainable, extensible components for data engineering platforms.
• Have written, scheduled, and monitored complex pipeline orchestration workflows in Apache Airflow.
• Have worked with cloud infrastructure on GCP, AWS, and Azure to support scalable ETL and data processing services.
• Have managed source control, collaborative development, and containerized deployments using GitHub and Docker.
• Have built distributed data processing pipelines in Apache Spark and Java, using Hadoop and HDFS for high-volume work.
• Have worked with relational databases such as PostgreSQL and with NoSQL technologies for structured and unstructured data.
• Have written Python analytical scripts to evaluate, validate, and benchmark machine learning model performance.
• Understand machine learning concepts such as feature engineering, model evaluation, and data warehousing, and have used them in data-driven decision systems.
• Have tracked project tasks and delivered in sprints using Agile methods and tools such as Jira.

Conditions

Base salary ranges from $150,080 per year to $234,000 per year.

Eligibility for some benefits depends on your job classification and length of employment, and benefits may change or follow specific plan terms.

The company is an equal opportunity employer.

The company maintains a drug-free workplace with a zero tolerance policy for illegal drugs and alcohol on the job.

Benefits

• Competitive pay with performance-based incentive awards, paid annually or quarterly.
• Medical, vision, and dental coverage.
• 401(k), stock purchase, and company-paid life insurance.
• PTO including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting time.
• Short-term and long-term disability coverage.
• Education assistance with 100% company-paid college degrees.
• Company discounts, military service pay, and adoption expense reimbursement.