Jobs / App***
PART DataOps Engineer
App*** · Cupertino, CA, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
Cupertino, CA, United States118,500-197,500 USD/yearlyOnsite
Remuneration
118,500-197,500 USD/yearly
Location
Cupertino, CA, United States
Visa sponsorship
Sponsors visa
Job summary
The people here at App*** don’t just create products - they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
Benefits
At Apple, base pay is one part of our total compensation package and is determinThis provides the opportunity to progress as you grow and develop within a role.The base pay range for this role is between $118,500 and $197,500, and your baseIncluding: Comprehensive medical and dental coverage, retirementAdditionally, this role might be eligible for discretionary bonuses or commissioLearn more about AppleNote: Apple benefit, compensation and employee stock programs are subject to eli
Qualifications
- You’ll design and build the data applications - and increasingly, the AI-powered experiences - that change how App***’s Finance analysts work every day.
- Demonstrated use of AI-assisted development
- 6+ years in data engineering or software development, with a strong track record of shipping production data applications end-to-end
- Expert proficiency in Python and hands-on experience building and deploying web applications with Streamlit
- Strong experience with relational databases (e.g., SQL Server, PostgreSQL) and modern data lake / lakehouse environments
- Strong software engineering fundamentals: Git, code review, testing, CI/CD, observability
- BS in Computer Science, Data Science, Engineering, or a related field
- Pay &
- experience, and location.
- App*** employees also have the opportunity to become an App*** shareholder through participation in App***'s discretionary employee stock programs.
- App*** employees are eligible for discretionary restricted stock unit awards, and can purchase App*** stock at a discount if voluntarily participating in App***'s Employee Stock Purchase Plan.
- You'll also receive
Responsibilities
- You will design, build, and deploy lightweight web interfaces and data
- Own complex projects end-to-end with minimal direction - from discovery and scoping through design, development, deployment, and long-term maintenance
- Partner with financial analysts and Finance leadership to deeply understand workflows and pain points, and proactively identify high-leverage opportunities for automation and AI
- Design, develop, and deploy data applications (primarily Streamlit) that automate tasks, visualize data, and improve the efficiency of financial processes
- Lead the team’s adoption of AI - both in our own engineering practice (AI-assisted development, agentic tooling) and in the products we ship (LLM-powered features, RAG, agents, intelligent automation)
- Coach financial analysts on where and how to apply AI in their own workflows, helping them separate hype from real opportunity and prototype solutions together
- Write clean, well-documented, maintainable Python - and establish patterns and reusable components others on the team can build on
- Connect applications to a variety of data sources (databases, APIs, data lakes) across App***’s data ecosystem
- Architect for reliability: robust error handling, logging, monitoring, CI/CD, and security-by-default
- Gather user feedback and iterate to continuously improve usability and impact
- Partner with data scientists to integrate analytical and ML models into applications
- Set technical standards and mentor other engineers on the team
Skills
LeadershipCommunication
Degrees
AssociateBachelor
Industry
AutomotiveEducationEnergy
Company size
Smb
Relocation
Yes