Spanish bilingual and Hispanic jobs since 1997. Diversity job fairs since 2006. employers     login   |   register - post a job
Hispanic Diversity Recruitment - best jobs for hispanic, latino & bilingual (spanish & portuguese) jobseekers
    Log me in!   |   Site Map   |   Help   
 Senior Data Warehouse Engineer - Austin, Texas, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Programming Languages
Computers - Platforms
Computers - Software Engineer
Computers - Webmaster
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200290119 / Latpro-3828190 
Date posted: Sep-30-2021
State, Zip: Texas, 78729


Senior Data Warehouse Engineer

Austin , Texas , United States

Software and Services


Posted: Sep 29, 2021

Weekly Hours: 40

Role Number: 200290119

Imagine what you could do here. At Apple, innovative 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! The people here at Apple don't just build products - we craft the kind of wonder that's revolutionized entire industries! It's the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. At Apple, we work every day to build products that enrich people's lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and creative content on their devices while helping publishers and developers promote and monetize their work. Our technology and services power advertising in Apple News and Search Ads in the App Store. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. The Ad Platforms Data team is seeking a Senior Data Warehouse Engineer specializing in building high performance data stores to enable next gen analytical solutions. In this role, you will work as a key member of a data-centric team to drive the development, execution, and continuous improvement of core data infrastructure and processes. You will have a key role in the joint design and development of the Data Model, implementation and delivery of Enterprise Data Warehouse Architecture supporting our suite of customer experiences in addition to scheduled and ad hoc reporting. You will be a key enabler for teams of architects, engineers, analysts, data scientists, and business users. A successful candidate will have experience building data processing pipelines, data models and running cloud based data warehouse platforms. Working with multiple data storage and analysis toolsets-including current distributed technologies such as Snowflake, SparkSQL, Presto, Hive, Kafka, or Vertica-is a plus.

Key Qualifications

  • Background in computer science, mathematics, or similar quantitative field with a minimum of 5 years professional experience building, deploying, and maintaining complex Cloud Data Architectures
  • Expertise in building Cloud Data Warehouses in Snowflake, Redshift, BigQuery or analogous architectures
  • Deep SQL expertise, data modeling, and experience with data governance in relational databases
  • Experience with the practical application of data warehousing concepts, methodologies, and frameworks using traditional (Vertica, Teradata, etc.) and current (SparkSQL, Hadoop, Kafka) distributed technologies
  • Refined skills using one or more scripting languages (e.g., Python, bash, etc.)
  • Experience using ETL/ELT tools and technologies such as Talend, Informatica, SSIS or DBT a plus
  • Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind
  • Expertise in relational and dimensional data modeling
  • UNIX admin and general server administration experience required
  • Presto, Hive, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience a plus
  • Experience using Spark, Kafka, Hadoop, or similar distributed data technologies a plus
  • Able to expertly express the benefits and constraints of technology solutions to technology partners, business partners, and team members
  • Most importantly, a sense of humor and an eagerness to learn


Understand our current data model and infrastructure, proactively identify gaps, areas for improvement, and prescribe architectural recommendations with a focus on performance and accessibility. Define and design logical and dimensional data models. Partner across engineering teams to design, build, and support the next generation of our analytics and reporting systems. Partner with business and analytics teams to understand specific requirements for data systems to support both development and deployment of data workloads ranging from Tableau reports to ad hoc analyses. Own and develop architecture supporting the translation of analytical questions into effective reports that drive business action. Automate and optimize existing data processing workloads by recognizing patterns of data and technology usage and implementing solutions. Solid grasp of the intersection between analytics and engineering while maintaining a proactive approach to assure solutions demonstrate high levels of performance, privacy, security, scalability, and reliability upon deployment Provide guidance to partners on effective use of the data warehouse platform through collaboration, documentation, and associated standard methodologies. Work in progressive environment and perform effectively in a sprint based agile development environment.

Education & Experience


See job description


Apple requires you to fill in their on-line form which will open in a different window.

Enter your email address and click 'Apply':
  Prefer not to enter your email?