Which cities near Oakland, CA have the most data engineer job openings?

The cities near Oakland, CA that boast the highest number of data engineer jobs are: Fairfield Concord Vallejo Sunnyvale Hayward Fremont San Francisco Berkeley Richmond Antioch

Which cities near Oakland, CA have the most job openings?

The 10 cities near Oakland, CA that have the most job openings are: Fairfield Concord Vallejo Sunnyvale Hayward Fremont San Francisco Berkeley Richmond Antioch

What are the most popular job searches in Oakland, CA?

The 10 most popular job searches in Oakland, CA are: city amazon government work from home amazon warehouse security warehouse airport medical assistant data entry clerk

What are the highest-paying jobs in Oakland, CA?

The highest-paying jobs are: forensic pathologist ( from $ 206,579 to $ 328,151 year ) psychiatrist ( from $ 125,000 to $ 245,000 year ) business architect ( from $ 148,500 to $ 238,000 year ) principal software engineer ( from $ 147,875 to $ 236,075 year ) procurement director ( from $ 142,992 to $ 235,000 year ) flooring installer ( from $ 46,800 to $ 234,000 year ) associate dentist ( from $ 150,000 to $ 226,316 year ) data architect ( from $ 141,375 to $ 226,000 year ) data scientist ( from $ 119,925 to $ 226,000 year )

Which cities in the United States of America offer the highest salaries for data engineer jobs?

The top 10 cities are: Macon, GA ( from $ 84,825 to $ 244,450 year ) Rockford, IL ( from $ 173,350 to $ 215,130 year ) Fayetteville, NC ( from $ 174,100 to $ 212,500 year ) Alexandria, VA ( from $ 119,550 to $ 212,500 year ) Beaumont, TX ( from $ 151,878 to $ 211,761 year ) Worcester, MA ( from $ 88,400 to $ 211,350 year ) Kent, WA ( from $ 117,000 to $ 211,350 year ) Joliet, IL ( from $ 173,350 to $ 211,350 year ) Concord, CA ( from $ 122,500 to $ 211,350 year ) Waco, TX ( from $ 173,350 to $ 211,350 year )

Data engineer Jobs in Oakland, CA

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Data engineer • oakland ca

Last updated: 6 hours ago

Data Platform Engineer

Top EngineerSan Francisco, CA, US

Full-time

Quick Apply

At this technology driven investment firm, "data is everything" isn't a talking point.You will own the data layer that powers quantitative researchers, data scientists, and portfolio managers.Step ...Show more

Senior Data Engineer

Serene Healthcare StaffingSan Francisco, CA, us

Full-time

We're seeking a Senior Data Engineer to build and own our data platform and infrastructure.You will design systems that power transaction processing, analytics, reporting, and real-time insights ac...Show more

Sr Data Engineer

Disney Entertainment and ESPN Product & TechnologySan Francisco, Californie, États-Unis

Full-time

Disney Entertainment and ESPN Product & Technology.Technology is at the heart of Disney’s past, present, and future.Disney Entertainment and ESPN Product & Technology is a global organization of en...Show more

Lead Data Engineer

The State Bar of CaliforniaSan Francisco, CA, United States

Full-time

Office of Information Technology.Annual Salary Range Lead IT Analyst: $112,497 - $149,972 .FLSA Exempt / Union Represented.This position allows for up to four days of remote work per week.The Offic...Show more

Sr. Data Engineer, Data Platform

HimsSan Francisco, California

Remote

Full-time

Hims & Hers) is the leading health and wellness platform, on a mission to help the world feel great through the power of better health.We are revolutionizing telehealth for providers and their pati...Show more

Big Data Engineer

Magnum HuntSan Francisco, CA, USA

Permanent

Develops distributed applications to solve large scale processing problems, utilizing various languages like Java, Scala , Shell etc.Implements, troubleshoots, and optimizes solutions based on mode...Show more

Lead Data Engineer

QcellsSan Francisco, CA, US

Full-time

This role provides technical leadership in designing and optimizing ETL/ELT frameworks using Azure data services (Fabric, Data Lake, Data Factory), integrating data from ERP, CRM, and operational s...Show more

Distinguished Data Engineer - Card Data

Capital OneSan Francisco, CA

Full-time +1

Distinguished Data Engineer - Card Data.Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space.At Capital One, we believe div...Show more

Snowflake Data Engineer

KomforceSan Francisco, California, United States

Remote

Full-time

Quick Apply

We are looking for a Snowflake Data Engineer to join an insurance-focused delivery team supporting a major client programme.This is a hands-on engineering role for someone who is strong in Snowflak...Show more

GCP Data Engineer

Recutify Inc.San Francisco, CA, United States

Full-time

Quick Apply

Role : GCP Data Engineer Location : Concord, CA (Onsite) ...Show more

Data Engineer

Axelon Services CorporationOakland, CA, US

Full-time

Summary: Location: Oakland, CA Duration: 8 Months Responsibilities: Build and maintain backend datasets and transformations in Palantir Foundry Develop React TypeScript frontend components for comp...Show more

Data & Analytics Senior Data Engineer

L.E.K. ConsultingSan Francisco

Full-time

Consulting is one of the premier strategy consulting firms worldwide.Our clients view us as trusted partners that help address their most pressing challenges and biggest opportunities.We bring toge...Show more

Data Engineer ID50062

AgileEngineSan Francisco, CA, us

Full-time

Fortune 500 brands and trailblazing startups across 17+ industries.We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Bes...Show more

Data Science Engineer

Berkeley LabBay Area, California, US

Full-time

Lawrence Berkeley National Laboratory is hiring a Data Science Engineer within the Scientific Data division.The has an immediate opening for a software and data engineer (CSE2) in the area of multi...Show more

Software Engineer - Data Production

Replica Inc.San Francisco, CA, US

Full-time

Quick Apply

Software Engineer (Data Production Team) San Francisco, New York, Or Kansas City Replica is a privacy-centric urban data platform that delivers critical insights about the built environment.With be...Show more

Senior Data Platform Engineer

Swish AnalyticsSan Francisco, California, US

Full-time

Quick Apply

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.We believe that oddsmaking is a challenge rooted in engi...Show more

Senior Data Engineer

Global Technical TalentOakland, CA

Full-time

Leading natural gas and electric energy company serving millions of customers across the United States.Offers reliable energy delivery and a positive work environment.Local candidates strongly pref...Show more

Data Engineer

Go Car InsuranceSan Francisco, CA

Full-time

The data we gather, organize, and share enables some of what we think is the most compelling map infra.It is built from real-time events happening globally, historical structured data, and even som...Show more

Data Engineer

Axelon Services CorporationOakland, CA

Full-time

Build and maintain backend datasets and transformations in Palantir Foundry.Develop React TypeScript frontend components for compliance reporting.Integrate Foundry datasets with frontend views and ...Show more

Data Platform Engineer

Top EngineerSan Francisco, CA, US

4 days ago

Job type

Full-time

Quick Apply

Job description

Data Platform Engineer

🚀 At this technology driven investment firm, "data is everything" isn't a talking point. It's literally the job. You will own the data layer that powers quantitative researchers, data scientists, and portfolio managers. Step into a hands on engineering seat where you build the engine room for a ship full of investment professionals who need clean, fast, reliable data to do their work.

Your Key Responsibilities

✅ Design and build ingestion pipelines that pull from diverse third party data sources, both structured and unstructured.
✅ Own the plumbing: pipelines, schemas, and infrastructure that the entire research and investing operation runs on top of.
✅ Ship features that make internal teams (quantitative researchers, data scientists, product managers) faster and more productive.
✅ Rearchitect schemas collaboratively with data scientists and debug production pipelines when issues arise.
✅ Evaluate and implement new orchestration tools and modern data technologies including Trino, Apache Iceberg, and Dagster.
✅ Sit at the intersection of engineering and research, acting as both builder and thought partner to non engineering stakeholders.
✅ Work on greenfield projects that evolve the data platform without being stuck maintaining legacy systems.

What You Bring to the Role

🔹 Bachelor's degree in Computer Science or a related technical field from an accredited university.
🔹 2 to 15 years of data engineering experience with a proven track record of building and shipping end to end data systems (not just writing specs).
🔹 Strong proficiency in Python and SQL with real experience standing up ingestion pipelines from multiple data sources.
🔹 Solid working knowledge of relational databases, specifically PostgreSQL.
🔹 Excellent communication skills with the ability to work cross functionally with data scientists, researchers, and product managers.
🔹 Preferred: Cloud infrastructure experience (AWS, S3) and familiarity with streaming or messaging tools like Kafka or gRPC.
🔹 Preferred: Experience with container orchestration (Kubernetes) and distributed computing frameworks like Ray.
🔹 Preferred: Prior exposure to financial services, quantitative research, or trading environments. Candidates from data platform teams at high growth tech companies are strongly encouraged to apply.

What's In It For You

💰 Total compensation between $300,000 and $450,000 (base plus bonus). World class pay for top engineering talent.

🏡 San Francisco based with a tight knit, five days in office culture. No remote option available.

🌎 Join a technology first investment firm where engineering is central to the business, not a support function. Build foundational infrastructure that directly powers research and investment decisions with real ownership and a modern stack.

Apply Now to Build the Future of Quantitative Data Infrastructure

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