Top 116 Data engineer Jobs in Woodland Hills, Ca

PART Data Applications Engineer
Apple —Culver City, CA
- $120,900 - $201,400 a year
- Azure
- Computer Science
- Bachelor of Science
- Employee stock purchase plan
- Health insurance
Sr Data Analytics Engineer - Remote
Harbor Freight Tools USA, Inc. —Calabasas, CA
- $98,500 - $147,800 a year
- Remote
- Computer science
- Computer Science
- Bachelor of Science
- Paid holidays
- Disability insurance
8d
Sr Data Engineer
Disney Entertainment and ESPN Product & Technology —Santa Monica, CA
- $141,900 - $208,400 a year
- Computer science
- Computer Science
- 5 years
Research Data Engineer
USC —Los Angeles, CA
- $126,077.70 - $150,000.00 a year
- Background check
- Computer Science
- Public speaking
6d
Software Engineer, Data
HeyGen —Los Angeles, CA
- $180,000 - $220,000 a year
- Computer Science
- Mid-level
- 3 years
- Health insurance
- 401(k)
Data Analytics Engineer
AmaWaterways, LLC —Calabasas, CA
- $90,000 - $100,000 a year
- Full-time
- Mid-level
- SQL
- Communication skills
Quick Apply
Data Engineer
EVERYTABLE, PBC —Los Angeles, CA
- $115,000 - $150,000 a year
- Full-time
- Remote
- Mid-level
- Analysis skills
- 2 years
- Paid holidays
- Health insurance
Quick Apply
Senior Data Engineer
Samsara —Los Angeles, CA
- $118,107.50 - $178,650.00 a year
- Azure
- Computer Science
- 5 years
- Parental leave
Sr. Data Engineer
Plug Technologies Inc —Los Angeles, CA
- $180,000 - $210,000 a year
- Full-time
- No experience needed
- Office
- SQL
- Health insurance
- Dental insurance
Quick Apply
Data Engineer
Hadrian Automation —Los Angeles, CA
- $150,000 - $230,000 a year
- Full-time
- SQL
- Mentoring
- Senior level
- Health insurance
- Dental insurance
11d
Data Infrastructure Engineer
HeyGen —Los Angeles, CA
- Computer Science
- System design
- Mid-level
- Opportunities for advancement
Tech Lead Software Engineer, Ads Infra - Big Data
TikTok USDS JV —Los Angeles, CA
- $177,688 - $416,100 a year
- Hybrid work
- Computer Science
- 5 years
- System design
- Paid parental leave
- Paid holidays
AWS Data Engineer - Mumbai
Fugetron Corporation —Los Angeles, CA
- Computer science
- Computer Science
- 5 years
Lead Product Software Engineer - Data Foundation Platform
Disney Entertainment and ESPN Product & Technology —Santa Monica, CA
- $155,700 - $228,600 a year
- 7 years
- Computer Science
- Master's degree
Sentinel - Data Management Capability Lead Sr. Principal Systems Engineer
Northrop Grumman —Manhattan Beach, CA
- $122,800 - $184,200 a year
- Overtime
- 3 years
- Master's degree
- Analysis skills
- Paid holidays
- Disability insurance
Software Engineer, Data Platform
Whatnot —Los Angeles, CA
- $190,000 - $270,000 a year
- Full-time
- Remote
- 5 years
- APIs
- Senior level
- Paid parental leave
- Health insurance
Data Engineer
Whatnot —Los Angeles, CA
- $180,000 - $260,000 a year
- Full-time
- Remote
- 3 years
- APIs
- Senior level
- Paid parental leave
- Health insurance
Software Engineer II, Data Platform
Sony Interactive Entertainment —Los Angeles, CA
- $150,100 - $225,100 a year
- On call
- Computer science
- Computer Science
- Mid-level
- Wellness program
- Health insurance
Data & Analytics Engineer
True Classic —Calabasas, CA
- Full-time
- Mid-level
- Office
- SQL
- Health insurance
- Dental insurance
Quick Apply
Azure Data Engineer ADF - Maharashtra
Fugetron Corporation —Los Angeles, CA
- 5 years
- DevOps
- SQL

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data engineer jobs near woodland hills, ca

PART Data Applications Engineer

Apple -
Culver City, CA

Apply Now

Job Details

$120,900 - $201,400 a year

Benefits

Employee stock purchase plan
Health insurance
Dental insurance
RSU
Retirement plan

Qualifications

Software engineering
Data lake
Engineering development testing
Git
Bachelor's degree
Continuous integration
Software testing
Web applications
DevOps automation
Providing code feedback
Database software proficiency

Full Job Description

The people here at Apple 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.

Apple is seeking a hands-on Data Engineer to join the Next-Gen Workflow team within our Finance Process, Analytics, Reporting & Technology (PART) Data Operations group. You’ll design and build the data applications - and increasingly, the AI-powered experiences - that change how Apple’s Finance analysts work every day. This is a role for an engineer who wants to operate independently end-to-end, help define what AI-native finance tooling looks like at Apple, and see their work used by key stakeholders across the organization.

Description

We are looking for a senior, business- and data-minded engineer with a passion for building intuitive applications that solve real-world business problems. This role sits at the intersection of data engineering, software development, applied AI, and business analysis.

You will design, build, and deploy lightweight web interfaces and data tools - primarily using Python frameworks like Streamlit - to streamline financial analysis, reporting, and decision-making. You’ll also help lead our team’s adoption of AI: both inside our own engineering practice and in the products we ship to analysts, helping them think through where AI can have the biggest impact in their own workflows.

Success in this role requires someone who can quickly absorb complex financial processes, translate ambiguity into a technical roadmap, and deliver high-quality, user-friendly applications with minimal oversight - while raising the bar for the engineers and analysts around them.","responsibilities":"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 Apple’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

Document applications, data flows, architecture decisions, and technical specifications

Preferred Qualifications

Hands-on experience building with modern AI/LLM tooling - e.g., OpenAI / Anthropic APIs, RAG pipelines, agent frameworks, MCP, prompt engineering - and a clear point of view on where AI does and doesn’t belong in business workflows

Demonstrated use of AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) to ship higher-quality software faster

Experience with FastAPI (or Flask/Django) for building Python web services and APIs

Experience with React or another modern front-end framework for building richer UIs beyond Streamlit

Proficiency with data visualization libraries (Plotly, Matplotlib, Seaborn) and an eye for usable, well-designed UIs

Solid grasp of data warehousing concepts and ETL/ELT design

Experience leading projects or mentoring engineers in a senior IC capacity

Experience shipping LLM-powered features to production (not just prototypes)

Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

Background working with Finance, FP&A, or Sales Finance teams

Strong communication skills with the ability to translate between technical and business contexts

Minimum Qualifications

3+ 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 & 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 $120,900 and $201,400, 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.

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Refine Your Search

data engineer jobs in woodland hills, ca

PART Data Applications Engineer

Sr Data Analytics Engineer - Remote

Sr Data Engineer

Research Data Engineer

Software Engineer, Data

Data Analytics Engineer

Data Engineer

Senior Data Engineer

Sr. Data Engineer

Data Engineer

Data Infrastructure Engineer

Tech Lead Software Engineer, Ads Infra - Big Data

AWS Data Engineer - Mumbai

Lead Product Software Engineer - Data Foundation Platform

Sentinel - Data Management Capability Lead Sr. Principal Systems Engineer

Software Engineer, Data Platform

Data Engineer

Software Engineer II, Data Platform

Data & Analytics Engineer

Azure Data Engineer ADF - Maharashtra

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