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Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Apple Data Engineer - Data Products, Ad Platforms in Austin, Texas

Data Engineer - Data Products, Ad Platforms

Austin,Texas,United States

Software and Services

At Apple, we work every day to create products that enrich people’s lives! Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. The Ad Platforms Data Products Engineering team is seeking a data engineer to join in developing the next generation of data products and analytical solutions built to empower Algo, Product, Data Insights, Sales, Marketing and Executive teams. In this role you will be a key member of the team driving the strategy, development, execution, and continuous improvement of core algo and analytical data products for Ad Platforms. You will be building the foundational data architectures and pipelines for our algo and data science capabilities. You will join a team of world-class data engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our data consumers. A successful candidate will have experience building data pipelines using varied engineering technologies such as AWS, EMR, EKS, Spark, Hive, SQL, Iceberg, Snowflake, Oracle, Airflow, Datadog.

Key Qualifications

  • Background in computer science, mathematics, or similar quantitative field with a minimum of 2-4 years professional experience

  • Demonstrated ability to implement and extend highly performant, resilient, and reliable data services

  • Worked in cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworks

  • Extract Transform Load (ETL) and streaming experience using Spark, Kafka, Hive, Iceberg, or similar technologies at petabyte scale

  • Deep expertise in data modeling, Scala, Spark, Python, Java, Scala, SQL, Trino, Glue and/or other relevant languages and frameworks

  • Experience with workflow scheduling / orchestration such as Airflow

  • Ability to take requirements from design through to implementation both independently and working collaboratively within teams

  • Ability to work closely with operational teams on deployment, monitoring, management concerns

Description

  • Use modern tools and technologies to build reliable and performant pipelines and data products with extreme scale requirements - Solve tough problems across the technology spectrum including designing, creating, and extending data storage, processing, and analytic solutions - Automate and optimize existing analytic workloads by recognizing patterns of data and technology usage - Must be able to work in a rapidly changing environment and perform effectively in a sprint-based agile development environment

Education & Experience

BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field; and experience designing, building, maintaining, and extending web-scale production systems.

Additional Requirements

    • Ability to design and implement effective testing and operations strategies for data pipelines and data products

    • Worked in CI/CD environments
    • Experience with applying data encryption and data security standards
    • Experience using one or more scripting languages (e.g., Python, bash, etc.)
    • Experience supporting and working with cross-functional teams in a dynamic environment
    • Understanding of modern data engineering approaches and are aware of what leading players are doing
    • Experience implementing machine learning and data science workloads a plus
    • Ability to communicate technical concepts to a business-focused audience
    • Most importantly, a sense of humor and an eagerness to learn

  • Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

  • We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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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 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) .

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