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Senior Data Engineer Python Jobs in Santa Clara, CA

Senior Data Engineer

Redwood City, CA ยท On-site

$205K - $240K/yr

As a Senior Data Engineer , you will own Nimble's data platform -- the layer that every other team ... Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale * The skills and ...

Senior Data Engineer

Redwood City, CA ยท On-site

$205K - $240K/yr

As a Senior Data Engineer , you will own Nimble's data platform - the layer that every other team ... Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale * The skills and ...

Senior Data Engineer

Redwood City, CA ยท On-site

$129K - $176K/yr

As a Senior Data Engineer , you will own Nimble's data platform - the layer that every other team ... Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale * The skills and ...

Senior Data Engineer (Java/Spark)

Sunnyvale, CA ยท On-site

$65.50 - $86.50/hr

... Sr Data Engineer (Java/spark) Location: Sunnyvale, CA or Bentonville, AR (Hybrid) Job Type ... You have expert-level coding skills in Python, JAVA, Spring, API design, Kafka, databases (SQL, no ...

Senior Data Engineer

San Jose, CA ยท On-site

$55 - $60/hr

Strong to expert-level proficiency in Python for building and automating data pipelines. * Deep ... Mentor junior data engineers and contribute to engineering best practices and standards. Nice to ...

Senior Data Engineer

San Jose, CA ยท On-site

$55 - $60/hr

Strong to expert-level proficiency in Python for building and automating data pipelines. Deep hands ... Mentor junior data engineers and contribute to engineering best practices and standards. Nice to ...

Strong to expert-level proficiency in Python for building and automating data pipelines. * Deep ... Mentor junior data engineers and contribute to engineering best practices and standards. Nice to ...

Sr Data Engineer

Sunnyvale, CA ยท On-site

$136K - $163K/yr

Required Skills 3+ years of Data Engineering / Database / BI experience Strong SQL and query optimization skills Hands-on Python and/or PySpark Experience with ETL, data warehousing, and data ...

Senior Data Engineer

San Mateo, CA ยท On-site

$140K - $160K/yr

Develop production-ready Python applications and complex PostgreSQL queries deployed across ... Bachelor's degree in Computer Science, Data Engineering, or equivalent practical experience

Senior Data Engineer

Los Altos, CA ยท On-site

$180K - $258K/yr

We are looking for a Senior Data Engineer to design and build the foundational data infrastructure ... Proficient in Python, SQL, and familiar with C++. * Experience designing ETL pipelines using modern ...

Senior Data Engineer

Los Altos, CA ยท On-site

$180K - $258K/yr

We are looking for a Senior Data Engineer to design and build the foundational data infrastructure ... Proficient in Python, SQL, and familiar with C++. * Experience designing ETL pipelines using modern ...

Senior Data Engineer

San Jose, CA ยท 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 ... Strong proficiency in Python and SQL - these are how our systems are written * Strong data modeling ...

About the role: We're seeking a Senior Data Engineer to design and build the foundational datasets ... Expertise in at least one programming language such as Python, Scala, or Rust, with experience ...

Sr. Data Engineer

Union City, CA ยท On-site

$130K - $156K/yr

Proficiency in SQL, Python, or Javascript, with deep experience in data warehouses and analytics tools (BigQuery, Looker, GrafanaBigTable preferred). * Database Architect Mindset: Technical ...

Sr. Data Engineer

Union City, CA ยท On-site

$130K - $156K/yr

Proficiency in SQL, Python, or Javascript, with deep experience in data warehouses and analytics tools (BigQuery, Looker, GrafanaBigTable preferred). * Database Architect Mindset: Technical ...

Showing results 21-40

Senior Data Engineer Python information

See Santa Clara, CA salary details

$95.1K

$148.4K

$205.5K

How much do senior data engineer python jobs pay per year?

As of Sep 14, 2026, the average yearly pay for senior data engineer python in Santa Clara, CA is $148,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,500.00 and $169,100.00 per year, depending on experience, location, and employer.

What does a senior data engineer python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

What are the key skills and qualifications needed to thrive as a senior data engineer python?

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

How does a senior data engineer python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.

What is the difference between Senior Data Engineer Python vs Data Engineer Python?

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

What are popular job titles related to Senior Data Engineer Python jobs in Santa Clara, CA?

For Senior Data Engineer Python jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer Python jobs in Santa Clara, CA look for?

The top searched job categories for Senior Data Engineer Python jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Senior Data Engineer Python jobs?

Cities near Santa Clara, CA with the most Senior Data Engineer Python job openings:

Senior Data Engineer

Redwood City, CA โ€ข On-site

NimbleRx
Software Developmentย โ€ขย 51 - 200 employees

$205K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Key responsibilities

  • Own the data platform end-to-end, including ingestion, transformation, storage, query, and access, and drive its roadmap.

  • Build and evolve batch and streaming data pipelines using PySpark/EMR, Kinesis, Lambda, and Step Functions, ingesting data from various sources.

  • Partner with stakeholders to turn data requests into reliable pipelines and ensure data security and compliance.


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.