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Data Science Engineer, Apple Energy Services

San Diego, CA, US • Posted 17 hours ago • Updated 4 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Innovation
Manufacturing
Supply Chain Management
Data Science
Emerging Technologies
Software Engineering
Data Engineering
Python
Kotlin
Java
Extract
Transform
Load
Orchestration
SQL
Snow Flake Schema
Analytical Skill
Data Quality
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Time Series
Energy
Sustainability

Summary

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.\\n\\nOne 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.\\n

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.\n\n\n

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

Experience with Lakehouse formats (Delta, Iceberg, Hudi)\nExposure to ML pipelines or MLOps\nExperience with time-series data at scale\nBackground or interest in energy, climate, or sustainability\n

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90733111
Position Id: 18842f036c3231c1fa1de72beadfdc22
Posted 17 hours ago

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