1

Full Stack Data Engineer Jobs in Fremont, CA (NOW HIRING)

Staff Full Stack Engineer

San Francisco, CA · On-site

$195K - $315K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models ... About this role As a Staff Full Stack Engineer at David AI, you'll lead our engineering team in ...

Full-Stack Engineer

San Francisco, CA · On-site

$120K - $150K/yr

  • Medical

  • Retirement

  • PTO

Purple Unicorn, on behalf of SalesPatriot , is hiring an Full Stack Engineer . Non-negotiable: ALL ... Proficiency in writing, optimizing, and troubleshooting complex SQL queries for data extraction ...

Full-Stack Engineer

San Francisco, CA · On-site

$120K - $150K/yr

  • Medical

  • Retirement

  • PTO

Purple Unicorn, on behalf of SalesPatriot , is hiring an Full Stack Engineer . Non-negotiable: ALL ... Proficiency in writing, optimizing, and troubleshooting complex SQL queries for data extraction ...

They are seeking a Full-stack Engineer to build scalable systems, develop backend services, and ... functionality and data workflows • Design and implement intuitive, high-quality frontend ...

... data model to API to UI) • Improve reliability, observability, and performance across the stack ... in full-stack engineering • Experience with backend development (Python, Go) • Strong code ...

Collaborate across Adobe's platform, infrastructure, data, and security teams to ensure the Agentic ... Full-stack engineering depth sufficient to contribute across the agent's entire surface area ...

Collaborate across Adobe's platform, infrastructure, data, and security teams to ensure the Agentic ... Full-stack engineering depth sufficient to contribute across the agent's entire surface area ...

Full Stack Software Engineer

San Francisco, CA · On-site

$150K - $1M/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Full-Stack Software Developer Redwood City, CA or Toronto, Ontario, Canada | On-Site | Direct Hire ... Data engineering or data science background at scale Compensation $150,000 - $1,000,000 base salary ...

Collaborate across Adobe's platform, infrastructure, data, and security teams to ensure the Agentic ... Full-stack engineering depth sufficient to contribute across the agent's entire surface area ...

We're looking for Full Stack Engineers with 2-8 years of experience in full stack engineering who ... Build and ship the data workflows and tools that government operators use daily to acquire ...

Job Summary : Perfict is a company seeking a Full Stack Engineer to enhance their software ... Oracle SQL and legacy data models • Collaborate daily with frontend/backend peers for ...

Full Stack Engineer

San Francisco, CA · On-site

$150K - $250K/yr

We're looking for a (Human) Member of Technical Staff specializing in full-stack engineering. We're ... Ship user-facing features end-to-end (from data model to API to UI) * Improve reliability ...

Full Stack Engineer

San Francisco, CA · On-site

$150K - $250K/yr

We're looking for a (Human) Member of Technical Staff specializing in full-stack engineering. We're ... Ship user-facing features end-to-end (from data model to API to UI) * Improve reliability ...

Full Stack Engineer

Sunnyvale, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The ideal candidate brings full stack engineering expertise, a deep understanding of the Secure ... Develop and maintain back-end APIs, microservices, and data pipelines (Python, Node.js, or ...

Showing results 21-40

Full Stack Data Engineer information

See Fremont, CA salary details

$48.7K

$147.5K

$208.5K

How much do full stack data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for full stack data engineer in Fremont, CA is $147,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

What are popular job titles related to Full Stack Data Engineer jobs in Fremont, CA?

For Full Stack Data Engineer jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Engineer jobs in Fremont, CA look for?

The top searched job categories for Full Stack Data Engineer jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Full Stack Data Engineer jobs?

Cities near Fremont, CA with the most Full Stack Data Engineer job openings:

Infographic showing various Full Stack Data Engineer job openings in Fremont, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $147,529 per year, or $70.9 per hour.

junior full stack developer Java React.Js/Data Analyst

SynergisticIT

Berkeley, CA • On-site

Other

Posted 3 days ago

New


Job description

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! You Don’t Need Luck — You Need Strategy Many job seekers think getting hired is about luck, timing, or chance. But the truth is, it’s about strategy. SynergisticIT gives you a proven, structured approach to enter the tech industry. You’ll work on high‑demand technologies, build real‑world projects, and receive interview preparation that helps you stand out. Also get sent directly to Fortune 500 companies, giving you access to opportunities that bypass traditional hiring barriers. You don’t need luck — you need a plan. Synergisticit gives you the strategy that leads to real results. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway, not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn’t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.” Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor’s or Master’s programs who need a real hiring plan Candidates who apply consistently but don’t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume