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Senior Data Engineer Python Jobs in Santa Clara, CA

Donato Technologies, Inc

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake . The ideal ...

Hirekeyz Inc

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake . The ideal ...

Apple

Senior Data Engineer

Cupertino, CA · On-site

$130K - $177K/yr

We are seeking for a Senior Data Engineer to join our App Store Data team and play an integral role ... in Python and SQL with excellent analytical and problem-solving skills Hands-on experience in ...

iFlow Inc

Senior Data Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

Title: Senior Data Engineer Location: Palo Alto, CA Working Hours: 8am-5pm Duration:4 Months ... Strong expertise in SQL and Python for building scalable data pipelines and transformations. Hands ...

Apple

Senior Data Engineer

Cupertino, CA

$184K - $277K/yr

We are seeking for a Senior Data Engineer to join our App Store Data team and play an integral role ... Lead the technical design of privacy-first data models and analytics-ready datasets using Python ...

Tranzeal, Inc.

Data Engineer (Direct Hire/FTE)

Sunnyvale, CA · On-site

$136K - $163K/yr

Title- Senior Data Engineer Location - Sunnyvale, CA/ Onsite Job Type - Fulltime (Direct Hire) MUST SKILLS - We are looking for multiple Data engineers who are well versed in Python/Spark/Pyspark ...

Samsung Electronics

Sr. Data Engineer

Mountain View, CA

$170K - $210K/yr

Position Summary Sr Data Engineer - Samsung Ads About Samsung Ads: Samsung Ads is a fast-growing ... in Python; GoLang and Java preferred; Scala nice to have Understanding of data technologies ...

Adobe

Senior Data Engineer & Architect

San Jose, CA · On-site

$78.75 - $105.50/hr

Senior Data Engineer & Architect Location: San Jose, CA Job Type: Full-Time Reporting to: Senior ... Proficiency in Scale or Java, plus experience Python & SQL * Experience working with at least one ...

Ursus, Inc.

Sr. Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

... Python, Java or similar • Good understanding of open-source distributed systems technologies such as Kafka, Spark • Expertise in scalable ETL and data pipelines and tools such as (SSIS, ...

Roku

Senior Data Engineer

San Jose, CA · On-site

$148K - $361K/yr

About the role As a Senior Data Engineer on the Viewer Product Data Engineering team, you will play ... Proficiency in at least one scripting language, with Python preferred * Extensive experience with ...

Redolent, Inc.

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Data Engineer ( python, pyspark, scala, airflow) Location:Sunnyvale CA ( Hybrid ) Duration: 6 to 12+ Months Rate: DOE Bachelor or master's degree in computer science, Software Engineering, or a ...

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All JobsData Engineer Python JobsSenior Data Engineer Python JobsSenior Data Engineer Python Jobs in Santa Clara, CA

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 Jul 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, and why are they important?

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.

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.

How does a Senior Data Engineer specializing in 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 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 Python jobs near you
Senior Data Engineer

Senior Data Engineer

Donato Technologies, Inc

Sunnyvale, CA • On-site

$124K - $169K/yr

Contractor

Re-posted 18 days ago

Job description

Job Description: Senior Data Engineer

Location: Sunnyvale, CA (Local candidates preferred)
 or with in the time zone 

Key Skills: Tableau, Python, Snowflake.

 

Overview:
We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake. The ideal candidate will excel at collaborating with business users, cross-functional teams, and offshore teams to deliver high-quality data solutions. A solid understanding and experience with Machine learning is a valuable addition.

Key Responsibilities:

  • Design, develop, and manage robust, scalable data pipelines and workflows using Python and Snowflake.
  • Collaborate with business stakeholders to gather and translate requirements into actionable solutions.
  • Partner with cross-functional platform teams and offshore resources to ensure seamless project execution.
  • Build and optimize data models and architecture to support analytics and reporting needs.
  • Monitor and improve data integration processes, ensuring accuracy, reliability, and performance.
  • Explore opportunities to incorporate machine learning solutions into data engineering workflows.

Qualifications:

  • 6+ years of experience in data engineering, with a strong focus on Python and Snowflake.
  • Proven ability to work closely with business stakeholders to gather requirements and deliver impactful solutions.
  • Extensive experience working with offshore and cross-functional teams.
  • Excellent communication, problem-solving, and teamwork skills.
  • Experience with machine learning concepts and applications.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) for data engineering and machine learning.
  • Knowledge of CI/CD pipelines for data and ML workflows.