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Software Engineer, Data Infrastructure and Engineering

Apple · Austin, TX

May 6, 2026

Job Summary

Join Apple Ads as a Software Engineer specializing in data infrastructure and engineering. You will be responsible for designing and implementing core data solutions to support advertising across Apple Services. This role requires expertise in data engineering, scalability, and Agile methodologies.

Key Responsibilities

  • Design, develop, and optimize distributed algorithms and data processing frameworks
  • Implement scalable feature pipelines for data analysis
  • Ensure data integrity, security, and compliance
  • Build tools to integrate the data ecosystem

Who This Role Suits

  • 4+ years of data engineering experience
  • Strong technical skills in scalable data infrastructure
  • Ability to thrive in Agile environments

Tips to Apply

  • Highlight your experience in designing and implementing data infrastructure
  • Demonstrate your ability to work effectively in Agile teams
  • Showcase your expertise in ensuring data integrity and security

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Full Job Description

At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, MLS Season Pass and now F1!
Everything we do is designed for trust, connection, and impact. We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes - from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. Our platforms are highly-performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.
Description
We are looking for an ambitious and versatile Software Engineer who will be a key member of our team, delivering data solutions that solve exciting business problems. Job duties range from designing and implementing core data infrastructure, stream-processing capabilities, to supporting critical privacy preserving pipelines.
You will have the opportunity to define, refine, and refactor approaches, designs, and architectures to meet the data engineering challenges we must solve. You will join a team of world-class data engineers with an appetite for applying leading-edge technologies to deliver extraordinary experiences to our customers. You will play a meaningful role building data products that deliver on Apple's privacy commitments and change the way advertising works with data. You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions. You should have 4+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!","responsibilities":"Design, develop, and optimize distributed algorithms and data processing frameworks
Implement scalable feature pipelines to ingest, clean, transform, and analyze massive datasets
Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
Ensure data integrity, security, and compliance across all solutions
Participate in cross-functional Agile teams to prototype and deliver impactful, data-driven products
Build tools to integrate the data eco system
Preferred Qualifications
Strong technical skills with proven experience developing and supporting scalable data infrastructure
Ability to communicate effectively with multi-functional technical and non-technical teams
Prior experience in advertising industry is a huge plus
Contribution to open source distributed system projects
Minimum Qualifications
4+ years of industry experience building scalable data pipelines and data platforms
Strong computer science and data engineering fundamentals
Expertise in programming languages such as Python/Java/Scala/Rust
Expertise in NoSQL datastores (e.g. Cassandra, Keyspaces, ElastiCache)
Expertise in relational databases and SQL
Expertise in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)
Expertise in access management , building catalogs , query engines
Expertise in building data compaction tools
Experience building and scaling systems on premise and in the cloud
BS or MS in Computer Science, Software Engineering or related technical fields","internalDetails":null
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Skills

Frequently Asked Questions

This Software Engineer, Data Infrastructure and Engineering position is suitable for Mid-level professionals. Apple is looking for candidates with proven experience in the key skills mentioned, typically 2-5+ years depending on the specific requirements.
This Software Engineer, Data Infrastructure and Engineering position requires on-site or hybrid work. Check the job details for the specific location and flexibility options.
Key skills for this Software Engineer, Data Infrastructure and Engineering position include: python, go, rust. Having a strong foundation in these areas will make your application competitive. Experience with related tools and frameworks is also valuable.
To apply, click the 'Apply' button on this page, which will direct you to Apple's application portal. Have your resume, portfolio (if applicable), and a compelling cover letter ready.
Salary ranges vary based on experience and location. Check the job posting for specific compensation details, or research similar Software Engineer, Data Infrastructure and Engineering positions in your area.
Highlight relevant experience with python, go, rust. Include specific projects, achievements, and measurable results. Tailor your resume to match the job description, focusing on how your background aligns with Apple's needs.
Most hiring processes take 2-4 weeks from application to offer. This may include initial screening, technical assessments, interviews, and background checks. Apple will keep you informed throughout each stage.

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