Data Engineer, Find My
About The Position
As a Data Engineer on our team, you'll thrive in a fast-paced, startup-like environment, collaborating closely with a passionate cross-functional team to transform complex data into insights that power our shared mission. You'll be instrumental in designing and building the analytics pipelines behind exciting new features, and your contributions will directly impact millions of users. We embrace continuous iteration and improvement, so you'll have the opportunity to learn, grow, and refine your skills as we build the future of Find My. You will translate analytics needs from Data Science, Engineering, Product, and Program Management into high-quality, well-modeled data artifacts. Developing methods to monitor data quality and balancing competing priorities will be key to your success. You will dive deep into complex data engineering problems to ensure our solutions are extensible, reliable, and ready to deliver at scale.
Requirements
- BS in Computer Science, Data Engineering, or related field
- 3+ years of experience working with large data sets and dimensional data modeling
- 3+ years of experience with data processing using Spark and SparkSQL
- Familiarity with data pipeline orchestration tools
- Proficiency in Java or Scala, and experience with Python
- Experience with Amazon Web Services, GCP, or Azure
- Strong communication and collaboration skills
Nice To Haves
- Experience with open table formats such as Delta Lake or Apache Iceberg
- Experience with Spark on Kubernetes
- Experience with data quality monitoring and anomaly detection
- Familiarity with BI/visualization tools (e.g., Superset)
- Familiarity with privacy-preserving data engineering techniques
- Experience with machine learning applied to the domain of data engineering and analytics
Responsibilities
- translate analytics needs from Data Science, Engineering, Product, and Program Management into high-quality, well-modeled data artifacts
- Developing methods to monitor data quality
- balancing competing priorities
- dive deep into complex data engineering problems to ensure our solutions are extensible, reliable, and ready to deliver at scale
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
