Entry Level Data Solutions Manager Jobs
New grad data solutions manager jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings are on-site and hybrid roles across Technology & Software and Electronics & Hardware, with employers like ASM, Apple, and Addepar hiring at this level now.
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Showing 5 of 6+ Entry Level Data Solutions Manager jobs
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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Entry Level Data Solutions Manager Jobs: Frequently Asked Questions
How do I get an entry level data solutions manager job?
Employers hiring at the entry level look for candidates who can demonstrate hands-on experience with data tools, project management basics, and clear communication. A capstone project, internship, or bootcamp portfolio that shows you can organize and present data solutions gives you a real edge. Tailoring your resume to highlight measurable outcomes, even from academic or volunteer work, helps you stand out against other new grad applicants.
Which companies hire entry level data solutions managers?
Companies hiring entry level data solutions managers right now include ASM, Apple, and Addepar, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from mid-size technology firms, consulting companies, and large enterprises building out data operations teams that need junior contributors ready to grow into the role.
Are there remote entry level data solutions manager jobs?
Yes, though on-site and hybrid roles still make up a significant share of openings. About 50% of entry level data solutions manager openings are remote or hybrid as of November 2026, so candidates who prefer flexibility do have options. Searching with a location filter set to remote is the fastest way to see what is currently available at this experience level.
Are these new grad data solutions manager jobs?
Yes, these listings include new grad, recent graduate, and junior data solutions manager roles. A posting is new-grad friendly when it welcomes zero to two years of experience, accepts internship or project work in place of full-time history, or explicitly invites candidates with a strong portfolio rather than a long resume. Filtering by entry level surfaces the openings most likely to fit a first job search.
Which industries hire the most entry level data solutions managers?
Entry Level data solutions manager roles concentrate in Technology & Software and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they are actively scaling data infrastructure and need junior professionals who can support data governance, reporting, and client-facing solution delivery from day one.