Top 275 Data developers Jobs in San Jose, Ca

Data Engineer - Global Banking
McKinsey & Company —San Jose, CA
- English
- Bachelor's degree
- Experience equivalent to degree accepted
Staff Data Engineer - Dev360
Intuit —Mountain View, CA
- $202,500 - $274,000 a year
- Computer Science
- Engineering
- Java
Staff Data Engineer
Coupang —Mountain View, CA
- $164,000 - $282,000 a year
- Computer science
- 6 years
- Computer Science
- Commuter assistance
- Paid parental leave
Quick Apply
12d
Data Engineer
Sage Care Inc —Palo Alto, CA
- $145,000 - $175,000 a year
- Full-time
- Hybrid work
- 5 years
- HIPAA
- Epic
Staff, Data Engineer
Walmart —Sunnyvale, CA
- $110,000 - $286,000 a year
- Computer science
- Computer Science
- High school
- Paid jury duty
- Disability insurance
Staff Data Engineer
Archer —San Jose, CA
- $17,500 - $215,000 a year
- Email
- Computer science
- Computer Science
- 5 years
Quick Apply
Principal Data Engineer - AWS
Metis Technology Solutions Inc —Moffett Field, CA
- $140,000 - $200,000 a year
- Full-time
- Computer Science
- 5 years
- System design
Quick Apply
5d
Data Engineer, Fleet Analytics, Cell Quality & Field Reliability
Tesla —Fremont, CA
- $120,000 - $180,000 a year
- Full-time
- Computer science
- Computer Science
- SQL
- Commuter assistance
- Health savings account
Data Analyst/Engineer
Quest Global —Sunnyvale, CA
- $105,000 - $110,000 a year
- Full-time
- Mid-level
- Office
- SQL
- Disability insurance
- Health insurance
Quick Apply
Lead Data Engineer/ETL
Principal Software —Pleasanton, CA
- Contract
- Computer Science
- 5 years
- Bachelor's degree
Quick Apply
Software Engineer - Data
PlusAI —Santa Clara, CA
- $135,000 - $180,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- 401(k)
- Food provided
Quick Apply
Data Engineer
Solutions Sync —San Jose, CA
- $80,000 - $100,000 a year
- Full-time
- Azure
- 5 years
- Office
- Relocation assistance
- 401(k)
Quick Apply
Jr SQL /ETL Developer/Database developer
Sovereign Technologies —Pleasanton, CA
- Computer science
- Computer Science
- Mid-level
Senior DataOps Engineer
Scout Motors —Fremont, CA
- $140,000 - $187,000 a year
- Full-time
- 18 years or older
- Computer science
- 7 years
- Paid jury duty
- Paid parental leave
Quick Apply
Data Engineer
Wipro Limited —Fremont, CA
- $60,000 - $148,500 a year
- 5 years
- DevOps
- Pass drug screening
- Disability insurance
- Health insurance
Software Development Engineer - Data
Apple —Cupertino, CA
- $184,700 - $324,800 a year
- Computer science
- Computer Science
- Bachelor of Science
- Employee stock purchase plan
- Health insurance
Data Analytics Engineering
Sage Care Inc —Palo Alto, CA
- $120,000 - $145,000 a year
- Full-time
- Hybrid work
- Mid-level
- Java
- JavaScript
Software Engineer, Data Foundation – USDS
TikTok USDS JV —San Jose, CA
- $136,800 - $359,720 a year
- Hybrid work
- Computer Science
- Bachelor of Science
- System design
- Paid parental leave
- Paid holidays
Data Engineer Graduate (Data Platform E-commerce) - 2027 Start
TikTok —San Jose, CA
- $128,000 - $316,800 a year
- Multiple hires
- Computer Science
- Office
- Master's degree
- Paid parental leave
- Paid holidays
12d
Data Engineer - DataOps
Monks —Cupertino, CA
- $130,000 - $150,000 a year
- Contract
- Hybrid work
- 5 years
- Office
- Java
Quick Apply

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Data Engineer - Global Banking

McKinsey & Company -
San Jose, CA

Apply Now

Job Details

Qualifications

Data transformation pipeline development
Distributed systems

Full Job Description

Job ID: 108649

San Jose

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams, developing new or enhancing existing assets.

You will leverage cutting-edge technologies, collaborate with diverse experts, and grow as both a technologist and leader within McKinsey's entrepreneurial culture. In this role, you will design and build robust, modular, scalable, and secure data pipelines for machine learning that are deployable, reproducible, and versioned. You will prepare and manage data environments, ensuring they meet the highest information security standards, while enabling software capabilities for data engineers, data scientists, consulting teams, and external clients. Your work will contribute to the development of core data frameworks and technical platforms that power advanced analytics engagements across data science and engineering.

Your work will have a real-world impact, driving meaningful outcomes for clients across industries. You will build and maintain technology assets that support high-stakes projects, collaborating with world-class design, technical, and business talent. You will have the freedom to experiment with the latest technologies and push the boundaries of innovation.

You will be part of our global data engineering community, collaborating with data scientists, machine learning engineers, and industry experts to design and deliver cutting-edge data solutions. Together, you will enable advanced analytics and machine learning capabilities, helping clients and internal teams unlock the full potential of their data. You will also contribute to research and development projects and internal asset development, helping to shift McKinsey’s model toward asset-based consulting and expanding our investment in an entrepreneurial culture.

You will experience unparalleled growth as a technologist and leader, with the freedom to innovate, experiment, and master the world's leading technologies beyond any single proprietary stack. You will be part of an entrepreneurial culture that values creativity, collaboration, and impact, helping clients achieve lasting improvements while advancing McKinsey’s mission to deliver transformative solutions through technology.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

Bachelor's degree in relevant field, or equivalent experience,
1-3 years of relevant work experience
Proven experience building data pipelines in production for advanced analytics use cases
Experience working across structured, semi-structured and unstructured data
Exposure to software engineering concepts and best practices, inc. DevOps, DataOps and MLOps would be considered a plus
Familiarity with distributed computing frameworks, cloud platforms, containerization, and analytics libraries.
Excellent organizational capabilities, including the ability to initiate tasks independently and see them through to completion
Proficient in rational decision making based on data, facts, and logical reasoning
Ability to create work product-focused materials / outputs, which may include PowerPoint decks, Excel models, articles, or other written deliverables
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

Apply Now

Refine Your Search

data developers jobs in san jose, ca

Data Engineer - Global Banking

Staff Data Engineer - Dev360

Staff Data Engineer

Data Engineer

Staff, Data Engineer

Staff Data Engineer

Principal Data Engineer - AWS

Data Engineer, Fleet Analytics, Cell Quality & Field Reliability

Data Analyst/Engineer

Lead Data Engineer/ETL

Software Engineer - Data

Data Engineer

Jr SQL /ETL Developer/Database developer

Senior DataOps Engineer

Data Engineer

Software Development Engineer - Data

Data Analytics Engineering

Software Engineer, Data Foundation – USDS

Data Engineer Graduate (Data Platform E-commerce) - 2027 Start

Data Engineer - DataOps

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