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Apple

Cupertino, CA

Data Engineering Manager Jobs Near Me

LocationCupertino, California 95014
Employment TypeContractor
Date Posted2022-11-20
Direct Apply
Yes
Valid Through2023-08-26

Job Description:

Data Engineering Manager

Santa Clara Valley (Cupertino),California,United States

Software and Services

  • Track record of building and leading high-performance software engineering teams.

  • Strong sense of ownership of the development process and the will to drive the team toward constant code, application and process improvements.

  • Excellent interpersonal skills and ability to collaborate effectively across multiple business and technical teams.

  • Excellent problem solving, critical thinking, and social skills - Lead by example to empower and challenge the team to deliver their best.

  • Multiple years of Data Engineering management experience leading and supporting the development and maintenance of applications, tools and processes.

  • Experiencing architecting, building and maintaining complex, multi-component big data systems.

  • Shown ability to work under pressure while maintaining a high level of quality and integrity.

Description

Does leading the engineering which ingests, processes, stores and analyzes petabytes of interesting telemetry data excite you? We’re looking for you! Are you an experienced Software Engineering Manager? In this role you’ll both set direction and provide mentorship to our experienced engineers and work hands-on to solve sophisticated problems from the device level all the way to big data scale. You’ll be responsible for the development, quality and integrity of the data pipelines which deliver a diverse set of data types to other engineering teams at apple. In this role you’ll have a large impact on the entire Apple Software Engineering organization and ultimately help Apple improve, build and deliver the products which consistently delight our users.

Education & Experience

B.S. in Computer Science or equivalent experience

Additional Requirements

  • Expert level experience with Data Engineering tools and frameworks, processes, goals and methodologies.

  • Expert level experience with at least two of the following languages and related development tools: (Python, Ruby, Java, Scala, Swift, Objective C).

  • Experience with one or more of the following platforms: HDFS, Yarn, Spark, Impala, Kafka, HBase, MapReduce, Kubernetes, Object Store, Flink.

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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

Apple is required to comply with a COVID-19 vaccination mandate issued by the New York City Department of Health. We will verify the vaccination status of all New York City team members who are working at an Apple Store, office, or partner store in New York City. New York City Department of Health Learn more (Opens in a new window) .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

Job ID: 4189624206958530878

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