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Data Science Engineer, Apple Energy Services

Apple
Posted 5 days ago, valid for 24 days
Location

San Diego, CA 92132, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Apple is seeking a passionate Data Science Engineer to help combat climate change and contribute to the Apple 2030 initiative, which aims for carbon neutrality by 2030.
  • The ideal candidate should have a Bachelor's degree in Software Engineering and 4-5 years of experience in data engineering or backend engineering.
  • Strong proficiency in Python, Kotlin, or Java, as well as experience with data pipeline orchestration and SQL analytical query engines, is required.
  • Candidates should also possess experience in designing data models and monitoring data quality, with a passion for technology and sustainability.
  • Preferred qualifications include familiarity with Lakehouse formats and exposure to ML pipelines, particularly in the context of energy and climate.
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. Join Apple and help us leave the world better than we found it. One way we are making the world better is our Apple 2030 initiative. Apple 2030 commits Apple to become carbon neutral across its entire business, manufacturing supply chain and product life cycle by 2030, including the electricity used to power Apple devices.

Description


We are looking for an enthusiastic Data Science Engineer to help us combat climate change and meet our company goals. Join us to help investigate emerging technologies and develop next-generation products. The ideal candidate thrives on ambiguity and is passionate about creating new products with meaningful and disruptive impact to the world.

Minimum Qualifications


Bachelor’s degree in Software Engineering with 4-5 years of data engineering or backend engineering experience Strong Experience with Python, Kotlin or Java Hands on experience with data pipeline orchestration Proficiency with SQL and analytical query engines (Trino, Snowflake, BigQuery) Experience designing data models and table schemas for analytical workloads Experience with data quality monitoring and validation Passion for people, code, and improving our future

Preferred Qualifications


Experience with Lakehouse formats (Delta, Iceberg, Hudi) Exposure to ML pipelines or MLOps Experience with time-series data at scale Background or interest in energy, climate, or sustainability



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