Data Engineer Jobs

Cisco

San Jose, California, United States of America · Full time

Data Engineer at Cisco in San Jose, California, United States of America focuses on We are seeking a highly skilled Data Engineer to design, build, and maintain scalable data platforms supporting business. You will manage platform reliability and quality, collaborating with cross-functional teams.

SG - Singapore · Full time

Data Engineer at 502 Visa Do Brasil Empreendimentos Ltda in SG - Singapore focuses on At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills. Join Visa and do work that matters – to you, to your community, and to the world.

US - Austin, TX · $131,600.00 to $ 210,300.00 USD per year · Full time

Staff Data Engineer at Visa Consolidated Support Services (India) Private Limited - Tech Unit in US - Austin, TX focuses on At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills. Join Visa and do work that matters – to you, to your community, and to the world.

Austin, TX; Chicago, IL; New York, NY; San Francisco, CA; San Jose, CA; Seattle, WA; Los Angeles, CA; Washington D.C. · $117,500—$172,800 USD

Analytics Engineer, Data Science at DoorDash USA in Austin, TX; Chicago, IL; New York, NY; San Francisco, CA; San Jose, CA; Seattle, WA; Los Angeles, CA; Washington D.C focuses on Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions. You’ll work closely with partner teams to drive end-to-end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

Palo Alto, CA

Analytics Engineer - X at SpaceXAI in Palo Alto, CA focuses on SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its. Our team is small, highly motivated, and focused on engineering excellence.

Evolve

US · 155000 165000 USD yearly · Full-time

Senior Data Engineer at Evolve in US focuses on At Evolve, we’re on a mission to make vacation rental easy for everyone. Our high-performing, customer-obsessed team runs on curiosity, communication, and accountability—working together to create exceptional experiences for our owners and guests.

San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States

Head of Data Engineering & Platform at Mercury in San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States focuses on In the early 1970s, Ken Thompson and Dennis Ritchie built Unix around a deceptively simple idea: create small,. That philosophy went on to shape modern operating systems, developer tooling, cloud infrastructure, and much of the software we rely on today—not because any individual tool was revolutionary, but because the platform made everyone else more productive.

London · Permanent

Senior Data Engineer - Data Platform at Spotify in London focuses on The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

San Francisco-HQ · FullTime

Data Engineering Manager, Data & ML Platform at Hinge health in San Francisco-HQ focuses on This is not a pure infrastructure or ML engineering role. We’re looking for a data platform leader with strong data modeling instincts, product awareness, and enough ML platform experience to bridge both worlds.

San Francisco · FullTime

IT Controls Data Engineer at Openai in San Francisco focuses on About the Team The IT and Security organization builds the systems, data foundations, and automation that help OpenAI. We support critical domains across identity, access, infrastructure security, enterprise systems, and internal productivity.

San Francisco · FullTime

Data Engineer at Openai in San Francisco focuses on About the team The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely.