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Sr Data Engineer Jobs in San Ramon, CA (NOW HIRING)

NimbleRx

Senior Data Engineer

Redwood City, CA

$205K - $240K/yr

As a Senior Data Engineer , you will own Nimble's data platform -- the layer that every other team builds on to understand the business, ship product features, and meet our compliance obligations.

SS&C

Sr. Data Engineer

San Francisco, CA

$134K - $162K/yr

Data Engineer Location : San Francisco, CA | Hybrid We're looking for a talented Sr. Data Engineer to join our new Data Platform product team. In this role, you will work closely with our Product ...

Gridware

Senior Data Engineer

San Francisco, CA · On-site

$180K - $195K/yr

Role Description As a Senior Data Engineer at Gridware, you'll design and scale the data infrastructure that powers our real-time grid monitoring platform. You'll build high-performance pipelines ...

Gallup

Senior Data Engineer

San Francisco, CA · On-site

$230K - $280K/yr

As a senior data engineer at Gallup, you'll design and build the production data systems that enable high-quality, analytics-ready data across our product and research teams. You'll translate ...

Gallup

Senior Data Engineer

San Francisco, CA

$230K - $280K/yr

As a senior data engineer at Gallup, you'll design and build the production data systems that enable high-quality, analytics-ready data across our product and research teams. You'll translate ...

MrBeast

Senior Data Engineer

San Mateo, CA · On-site

$120K - $164K/yr

BEAST INDUSTRIES Senior Data Engineer Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC The Opportunity We're doing an AI-first engineering rebuild for a company that already has an ...

Kai Cyber, Inc.

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

T HE ROLE Kai is hiring a Sr. Data Engineer to join our data infrastructure team. This is a hands-on, high-ownership role at the core of what we do - we live on ingesting and processing data at very ...

Adobe

Senior Data Engineer

San Francisco, CA

$124K - $169K/yr

We are looking for a Senior Data Engineer who will build a strong and scalable foundation to support it. Join us and build Adobe's future products! What you'll Do * Build, scale and optimize the data ...

Adobe, Inc.

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

We are looking for a Senior Data Engineer who will build a strong and scalable foundation to support it. Join us and build Adobe's future products! What you'll Do * Build, scale and optimize the data ...

Punch Agency

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Go ahead and check out some of our work here: www.punch-agency.com We are seeking an extremely talented senior/lead data engineer to design & implement highly reliable & scalable Audience Management ...

CoreWeave

Senior Data Engineer

Sunnyvale, CA

$182K - $242K/yr

About the role: We're seeking a Senior Data Engineer to design and build the foundational datasets that power analytics, business intelligence, and AI across CoreWeave. You will own the development ...

Regard

Senior Data Engineer

San Francisco, CA · Remote

$165K - $220K/yr

As a Senior Data Engineer at Regard, you will own the design, development, and production deployment of the data services that power the Regard platform. From ingesting and standardizing clinical ...

Fastly

Senior Data Engineer

San Francisco, CA · Hybrid

$155K - $186K/yr

Senior Data Engineer Fastly's Analytics team empowers leaders across the business with actionable data to drive key decisions. The team is working to expand and mature a best-in-class internal data ...

Airwallex

Senior Data Engineer

San Francisco, CA · On-site

$160K - $260K/yr

Senior Data Engineer Hiring Location: San Francisco Part 1. Data Modeling * Design and implement robust and scalable data models that support business intelligence, machine learning, and operational ...

Fastly

Senior Data Engineer

San Francisco, CA · On-site

$155K - $186K/yr

Senior Data Engineer Fastly's Analytics team empowers leaders across the business with actionable data to drive key decisions. The team is working to expand and mature a best-in-class internal data ...

Adobe

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

The Opportunity The Senior Data Engineer will have a significant impact on driving our organization's digital evolution by collaborating with various teams at Adobe. You will collaborate closely with ...

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Showing results 41-60

All JobsSr Data Engineer JobsSr Data Engineer Jobs in San Ramon, CA

Sr Data Engineer information

See San Ramon, CA salary details

$90.5K

$141.2K

$195.6K

How much do sr data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for sr data engineer in San Ramon, CA is $141,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $160,900.00 per year, depending on experience, location, and employer.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What are popular job titles related to Sr Data Engineer jobs in San Ramon, CA? For Sr Data Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Sr Data Engineer jobs in San Ramon, CA look for? The top searched job categories for Sr Data Engineer jobs in San Ramon, CA are:
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Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $141,174 per year, or $67.9 per hour.

Senior Data Engineer

NimbleRx

Redwood City, CA

$205K - $240K/yr

Full-time

Re-posted 6 days ago

Job description

At Swoop, our mission is simple: Improving patient outcomes. As a market leader in AI-driven, data-powered, and privacy-compliant healthcare engagement, we connect the signals that drive earlier diagnosis, better treatment decisions, and sustained adherence.
 
Our integrated, privacy-safe platform, enables life sciences companies to drive measurable patient and commercial outcomes with actionable intelligence — spanning patient and HCP audience targeting, community engagement, AI-powered web solutions, coordinated omnichannel activation, and prescription fulfillment.
 
We believe our people are our greatest asset. Swoop fosters a culture of innovation and continuous learning, providing employees with rich opportunities for professional growth. This commitment to our team earned us the "Best Places to Work" recognition from Business Intelligence Group in 2025 and 2026. We are driven by a patient-first philosophy and passionate about leveraging technology to create a healthier future. After becoming an independent company in 2024, Swoop experienced significant growth and demonstrated an unwavering commitment to innovation, talent development, and enhancing the patient experience. Our acquisition of MyHealthTeam in January 2025 and Nimble in May 2026 helped us further bridging the gap between healthcare brands and patients for more impactful and targeted engagement. Empowering millions of patients nationwide to connect, share resources, and access medically verified information to better manage their health. MyHealthTeam hosts the largest and most engaged patient social networks in healthcare, offering more than 70 condition-specific communities for chronic and rare conditions. As a prescription fulfillment and patient engagement platform, Nimble empowers independent and regional pharmacies to deliver a modern, consumer-friendly healthcare experience while streamlining pharmacy operations.
 
If you're a driven professional seeking to make a real difference in healthcare marketing at a fast-growing, innovative company, join Swoop and help us revolutionize how brands connect with patients and HCPs.

As a Senior Data Engineer, you will own Nimble's data platform — the layer that every other team builds on to understand the business, ship product features, and meet our compliance obligations. The work scales beyond you: what you build once accelerates product, analytics, ops, and data science for years. The role lives at the intersection of production engineering and data engineering, and the test of your work is whether other teams move faster because of it. This is an opportunity to be rewarded for hard technical work on a problem that genuinely matters.
 
Our engineering culture: We operate with shared trust and no egos. We enjoy being "in this together" and collaborating on the challenges of a rapidly scaling business. We live out our company values of curiosity, ownership, simplicity, and a get-it-done mentality.
 
Open to Senior or Lead. What matters is what you could build, not your current title.
You will:
  • Own the data platform end-to-end — ingestion, transformation, storage, query, and access — and drive its roadmap as the company's data needs grow
  • Build and evolve batch and streaming pipelines on PySpark/EMR, Kinesis, Lambda, and Step Functions, ingesting from Postgres, Salesforce, third-party vendors, and product event streams into our Iceberg-based lake
  • Model the warehouse: design SCD tables, event tables, and the conventions other engineers and analysts follow when adding new data
  • Partner with product, engineering, analytics, and operations stakeholders across the company to turn data requests into well-scoped, reliable pipelines — and write the docs and tooling that let them self-serve next time
  • Own the security and compliance backbone of our data systems, including audit logging, access control, and temporary-access workflows
  • Optimize backend query performance where the data layer meets product code — reader-replica routing, indexing, caching, and IO instrumentation in our Java/Spring services
  • Lead investigation and remediation when data infrastructure misbehaves — IOPS spikes, pipeline failures, schema drift, late data — and make the fixes durable
  • Use AI as a daily accelerant for pipeline scaffolding, schema work, and ad-hoc investigations — and ship internal AI tooling that lets other teams do the same
  • Mentor engineers and analysts across the company on how to work with the data platform
What you bring:
  • 5+ years of experience building production data pipelines and platforms
  • Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale
  • The skills and willingness to work on the services around the data layer (Java, Spring Boot)
  • Hands-on experience with distributed compute (Spark/EMR), streaming (Kinesis), and object storage (S3)
  • Solid Postgres fundamentals — query optimization, indexing, replication, replica routing, and a feel for when the database is the bottleneck
  • Experience with Iceberg and Trino, or similar
  • Comfort with CI/CD and Terraform
  • Already building with AI — frontier models, agentic coding tools, or something you hacked together last weekend
  • Track record of working across teams that don't speak your language (product, ops, etc.)
About you:
  • You take ownership of the platform's reliability, cost, accessibility, and compliance — not just the tickets you happened to ship
  • You think about security and PII/PHI handling as core engineering work, not as someone else's problem
  • You're a force multiplier: the docs, tools, and skills you leave behind make other engineers and analysts faster long after the original ticket closes
  • You have a bias for shipping iteratively and instrumenting what you ship — you'd rather demo a rough v1 in two days than a polished v3 in two weeks
  • You take pride in your work and have good judgment on what to prioritize when everything feels urgent
What's in it for you:
  • Compassionate and driven colleagues in a fun environment where success is celebrated
  • Accelerated career growth in a fast-growing company
  • Coaching from experienced engineering leaders
  • Direct access to executives and a transparent company culture
  • Rare opportunity to change an industry and lives of millions
  • We are reinventing healthcare / pharmacy - your (grand)parents and your (grand)children will understand and appreciate what you do
  • Medical / Dental / Vision / 401K package that fits your needs
  • Flexible Vacation Time Policy
  • 12 Paid Holidays
  • Work out of our Nimble HQ in beautiful downtown Redwood City
At Nimble, we are dedicated to putting patients first and improving pharmacies across America. Join us on this exciting journey!
 
Diversity, inclusion and belonging at Nimble: Nimble is building a diverse and inclusive work environment where we learn from each other. We pride ourselves on being an equal opportunity employer and welcome people of diverse backgrounds, abilities and perspectives.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.