Entry Level Data Platform Engineer Jobs
New grad data platform engineer jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship building pipelines and cloud infrastructure can matter more than a long resume. Most openings are Technology & Software, Agriculture & Farming, and Electronics & Hardware roles with on-site, remote, and hybrid settings, with employers like Lyft, Apple, and TikTok hiring at this level now.
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AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple. We are looking for a Software Engineer to help build next- generation of Applied Machine Learning Data Platforms. Applied Machine Learning Data Platform team provides platform engineering, data engineering tools, data pipelines, and services for various Machine Learning and Analyst teams. These help to train and deploy inference models, and run data analytics at scale to prevent Fraud and automate decisioning on multiple Apple Platforms like Apple Pay, Apple Media Products, App Store, Online Store, Retail, AppleCare and Manufacturing. Our team within the greater AiDP team is the Core Platform Engineering team which is a backbone of the platform, responsible for handling data at multi-petabyte scale with low latencies and high concurrency.
Description
We're looking for a Software Engineer with a strong data background and deep platform-thinking to design, build, and enhance a scalable, efficient data platform. You'll bring hands-on experience in data warehousing and analytics, and thrive on solving hard, large-scale data problems. If you're passionate about building production-grade platforms and want to make a lasting impact at scale, we'd love to talk to you.
Minimum Qualifications
- Bachelor's degree or equivalent in Computer Science, Information Systems, or a related field.
- 2+ years of subsequent data engineering experience across the required skills including data warehousing, big data and analytics domains
- Deep understanding and experience of working with high volume, high concurrency platforms
- Writing Spark, Trino or Snowflake, Flink code, Python and SQL for large scale relational data warehouses and data lake platforms on the cloud.
- Designing data pipelines for structured and semi-structured data.
- Iceberg or open table format experience
Preferred Qualifications
- 4+ years of subsequent data engineering experience across the required skills including data warehousing, big data and analytics domains
- Building highly scalable data engineering platform components and foundational tools in Python, Java, or Scala.
- Deep experience working with AI models and tools such as Claude, building agents etc
- Experience with large scale platform migration projects
- Working with distributed frameworks including Apache Kafka and Apache Spark and Flink and knowledge of Cloud platforms and technologies
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 $150,400 and $225,300, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple. We are looking for a Software Engineer to help build next- generation of Applied Machine Learning Data Platforms. Applied Machine Learning Data Platform team provides platform engineering, data engineering tools, data pipelines, and services for various Machine Learning and Analyst teams. These help to train and deploy inference models, and run data analytics at scale to prevent Fraud and automate decisioning on multiple Apple Platforms like Apple Pay, Apple Media Products, App Store, Online Store, Retail, AppleCare and Manufacturing. Our team within the greater AiDP team is the Core Platform Engineering team which is a backbone of the platform, responsible for handling data at multi-petabyte scale with low latencies and high concurrency.
Description
We're looking for a Software Engineer with a strong data background and deep platform-thinking to design, build, and enhance a scalable, efficient data platform. You'll bring hands-on experience in data warehousing and analytics, and thrive on solving hard, large-scale data problems. If you're passionate about building production-grade platforms and want to make a lasting impact at scale, we'd love to talk to you.
Minimum Qualifications
- Bachelor's degree or equivalent in Computer Science, Information Systems, or a related field.
- 2+ years of subsequent data engineering experience across the required skills including data warehousing, big data and analytics domains
- Deep understanding and experience of working with high volume, high concurrency platforms
- Writing Spark, Trino or Snowflake, Flink code, Python and SQL for large scale relational data warehouses and data lake platforms on the cloud.
- Designing data pipelines for structured and semi-structured data.
- Iceberg or open table format experience
Preferred Qualifications
- 4+ years of subsequent data engineering experience across the required skills including data warehousing, big data and analytics domains
- Building highly scalable data engineering platform components and foundational tools in Python, Java, or Scala.
- Deep experience working with AI models and tools such as Claude, building agents etc
- Experience with large scale platform migration projects
- Working with distributed frameworks including Apache Kafka and Apache Spark and Flink and knowledge of Cloud platforms and technologies
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 $150,400 and $225,300, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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Find JobsEntry Level Data Platform Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Agriculture & Farming
- Electronics & Hardware
- Consulting & Professional Services
Entry Level Data Platform Engineer Jobs: Frequently Asked Questions
How do I get an entry level data platform engineer job?
Employers hiring at this level look for hands-on evidence over credentials alone. Build a portfolio that shows you can design or maintain a data pipeline, work with cloud platforms like AWS, GCP, or Azure, and write clean SQL or Python. Internship experience, open-source contributions, or a capstone project that solves a real data problem all give you a concrete edge over candidates who only list coursework.
Which companies hire entry level data platform engineers?
Companies hiring entry level data platform engineers right now include Lyft, Apple, and TikTok, based on current listings on Migrate Mate as of November 2026. The mix typically includes technology firms, financial services companies, and growth-stage startups that are actively building or scaling their data infrastructure and need junior engineers to support that work.
Are there remote entry level data platform engineer jobs?
Yes, though most entry level roles still favor on-site or hybrid arrangements for hands-on mentorship. About 83% of entry level data platform engineer openings are remote or hybrid as of November 2026, so candidates who prefer flexibility will find real options alongside the more traditional in-office positions.
Are these new grad data platform engineer jobs?
Yes. The listings here include new grad, recent graduate, and junior data platform engineer roles posted by employers who explicitly welcome candidates with little or no professional experience. A new grad-friendly posting typically accepts zero to two years of experience and treats internship work, academic projects, or a strong portfolio as a genuine substitute for a longer employment history.
Which industries hire the most entry level data platform engineers?
Entry Level data platform engineer roles concentrate in Technology & Software, Agriculture & Farming, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. These sectors tend to drive early-career hiring because they are actively modernizing data infrastructure and need junior engineers who can support pipeline development, cloud migrations, and data reliability work from day one.