Senior Data Engineer, Machine Learning

This role is based in Menlo Park, CA.

Compensation:

$227,358/year to $240,460/year + bonus + equity + benefits

Responsibilities:

• Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
• Collaborate with engineers, product managers, and data scientists to understand data needs.
• Define and manage SLA for all data sets in allocated areas of ownership.
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
• Influence product and cross-functional teams to identify data opportunities to drive impact.

Minimum Qualifications:

• Master's degree in a related field and 1 year of work experience in the job offered or in an analytics or computer-related occupation.
• Experience in designing and building scalable data pipelines and ETL processes.
• Proficiency in object-oriented programming languages such as Python, PHP, and JavaScript.
• Experience with big data technologies like MapReduce and Spark.
• Strong SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL).