AI Data Engineer Jobs
AI Data Engineer jobs are open across technology, healthcare, financial services, and retail, from entry-level to staff and principal, with specializations in machine learning pipelines, feature stores, and real-time data infrastructure. Find a role that fits from the openings below and apply directly.
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Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
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.
Description
As a Framework Software Engineer, you will be responsible for building various tools and features for Data and ML platforms, including data processing, insights portal, data observability, data lineage, model hub, and data visualization. You will either work on building custom solutions ground up or take open source products and customize them for Apple’s needs. We're looking for an individual who loves to take challenges, tackles problems with imaginative solutions, works well in collaborative teams, and can produce high-quality software under tight deadlines and constraints. This role involves building innovative tools and frameworks that can extend the functionality of 3rd party BI tools using APIs.
Preferred Qualifications
Strong problem-solving skills and Excellent communication skills
Experience in building and deploying cloud-native applications/products
Working experience with Big data technologies and data platforms
Prior experience in the areas of AI/ML/Data Sciences will be a strong plus
Familiarity in working with frontend frameworks
Hands-on experience with distributed computing technologies
Experience with SQL and NoSQL data stores
Minimum Qualifications
2+ years or more of hands-on experience with Java and/or Python
Deep understanding of data structures and algorithms.
Experience designing and developing scalable & performant micro-services and Rest APIs
Knowledge of cloud computing platforms such as AWS, Google Cloud or Azure
Bachelors degree or equivalent experience
Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
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.
Description
As a Framework Software Engineer, you will be responsible for building various tools and features for Data and ML platforms, including data processing, insights portal, data observability, data lineage, model hub, and data visualization. You will either work on building custom solutions ground up or take open source products and customize them for Apple’s needs. We're looking for an individual who loves to take challenges, tackles problems with imaginative solutions, works well in collaborative teams, and can produce high-quality software under tight deadlines and constraints. This role involves building innovative tools and frameworks that can extend the functionality of 3rd party BI tools using APIs.
Preferred Qualifications
Strong problem-solving skills and Excellent communication skills
Experience in building and deploying cloud-native applications/products
Working experience with Big data technologies and data platforms
Prior experience in the areas of AI/ML/Data Sciences will be a strong plus
Familiarity in working with frontend frameworks
Hands-on experience with distributed computing technologies
Experience with SQL and NoSQL data stores
Minimum Qualifications
2+ years or more of hands-on experience with Java and/or Python
Deep understanding of data structures and algorithms.
Experience designing and developing scalable & performant micro-services and Rest APIs
Knowledge of cloud computing platforms such as AWS, Google Cloud or Azure
Bachelors degree or equivalent experience
AI Data Engineer Jobs by Experience Level
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Who's Hiring
- Deloitte36
- Amazon Web Services36
- JPMorganChase32
- Information Technology Senior Management Forum21
- Google20
Top Industries Hiring
- Technology & Software19
- Manufacturing9
- Education8
- Banking & Financial Services5
- Consulting & Professional Services5
What Employers Look For
The qualifications that appear most often in AI data engineer jobs.
- Proficiency in Python and SQL for data pipeline development and transformation
- Experience building and maintaining ML feature pipelines or data platforms at scale
- Hands-on work with orchestration tools such as Apache Airflow, Prefect, or Dagster
- Familiarity with cloud data platforms including AWS, GCP, or Azure data services
- Knowledge of streaming frameworks such as Apache Kafka or Apache Flink
- Bachelor's degree in computer science, data engineering, or a related technical field
Tips for Your AI Data Engineer Job Search
Tailor your resume to pipeline depth
Hiring managers for ai data engineer roles want to see end-to-end ownership, not just tool lists. Show exactly which stages of a data pipeline you designed, the scale it ran at, and the business outcome it supported.
Highlight ML pipeline tooling explicitly
Generic 'data engineering' resumes get filtered out before a human reads them. Call out specific orchestration tools like Airflow or Prefect, feature stores like Feast, and model-serving infrastructure so your resume clears automated screening.
Target roles by data stack, not just title
AI data engineer job descriptions vary widely. Filter openings by the specific stack you know best, whether that's Spark and Databricks, dbt and Snowflake, or Kafka and Flink, so you apply where your experience maps cleanest.
Apply early to roles that fit
Migrate Mate lists ai data engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prep for system design at the data layer
Most ai data engineer interviews include a system design round focused on designing scalable feature pipelines or real-time ingestion systems. Practice scoping data freshness requirements, partitioning strategies, and failure-recovery patterns before your interview.
Negotiate with infrastructure cost data
When you reach the offer stage, frame your value around measurable infrastructure outcomes you have delivered, such as reduced query latency or lower cloud compute costs. Concrete cost or reliability numbers strengthen your position more than general experience claims.
AI Data Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most ai data engineers?
The companies hiring the most ai data engineers right now include Deloitte, Amazon Web Services, and JPMorganChase, with the largest share of openings in California, Virginia, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in technology, financial services, and healthcare organizations investing in production machine learning systems.
How many ai data engineer jobs are remote?
About 78% of ai data engineer openings are fully remote or hybrid as of November 2026, reflecting strong remote adoption across data infrastructure roles. Sub-areas focused on cloud-native pipeline development and ML platform engineering tend to have the highest share of fully remote positions, since the work is tool-driven and asynchronous by nature.
How do you become an ai data engineer?
Start by building strong fundamentals in Python, SQL, and distributed data systems, then move into hands-on work with orchestration tools and cloud data platforms. Contributing to open-source data projects or building a portfolio of end-to-end ML pipelines demonstrates practical ability. Many practitioners transition from data engineering or software engineering roles by taking on ML infrastructure work within their current team before moving into a dedicated ai data engineer position.
Can you get an ai data engineer job with little experience?
Entry-level ai data engineer roles exist, but they usually require demonstrated pipeline-building ability even without years of professional experience. Building and publishing at least one project that ingests real data, runs transformations, and feeds a model endpoint does more for your candidacy than certifications alone. Applying to companies actively expanding their ML platform teams increases your chances, since those teams often hire candidates who show strong fundamentals and can grow into the role.
What does the ai data engineer interview process look like?
Most ai data engineer interviews include a recruiter screen, a technical phone interview covering Python and SQL, a system design round focused on designing data or feature pipelines at scale, and a final loop with engineering and data science stakeholders. Some companies add a take-home component asking you to build or debug a pipeline. Behavioral questions typically probe cross-functional collaboration with data scientists and ML engineers.
Where can I find and apply to ai data engineer jobs?
You can find and apply to ai data engineer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and specialization, then apply directly to each listing from the page.
See All 1,329+ AI Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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