Sr. Data Engineer - Apps Team

Seattle, Washington, United States
Software and Services


Weekly Hours: 40
Role Number:200375629
Does an exciting and dynamic environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining us. The Apple NWS (News, Weather, Stocks) team is looking for a hardworking Sr. DataOps Engineer with a background in large scale backend engineering support. You will enjoy using technology to automate solutions and optimize outcomes focusing on data engineering, continuous integration and continuous deployment in a fast-changing world of software delivery. Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. This role can be based in San Diego, NYC, Austin, or Seattle.

Key Qualifications

  • Experience in monitoring and troubleshooting large scale data platforms, data pipelines, complex backend services
  • Experience in managing large datasets
  • Demonstrate good understanding in Big data eco-systems such as Spark, HDFS, YARN, Kafka, SQL etc.
  • Experience in developing automation tools with scripting languages, Python etc.
  • Experience in using IT automation tools such as Ansible, Argo-CD, and job orchestrator systems such as AirFlow, Jenkins
  • Experience in monitoring tools such as Splunk, Prometheus/Grafana
  • Able to effectively communicate incidents, document/manage runbooks, set up processes to support other software engineering teams and data analysts
  • Experience in building docker images, managing services in Kubernetes or cloud based environment (AWS etc.) is a big plus
  • Experience with Full-Stack web development (React, Django etc.) is a big plus.


As a member of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every day. RESPONSIBILITIES: - Support large scale data pipelines and backend services by monitoring and troubleshooting/recovering incidents - Manage large volume dataset in Spark and Hadoop environments using scripts and automation - Automate build, deployment, and monitoring.

Education & Experience

BS in Computer Science or related field, or equivalent work experience.

Additional Requirements