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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 ...

Rays Techsolutions Inc.

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

Senior Data Engineer Location: San Jose, California, United States Experience: 8 10 Years Job ... Strong hands-on experience with Databricks , AWS , PySpark , Python , SQL , and Apache Airflow

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 ...

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 ...

Apple

AIML - Sr Data Engineer, DMLI

Cupertino, CA · On-site

$130K - $177K/yr

The AI and Machine Learning team is looking for Senior Data Engineer to build world-class data ... Proficient in Python, version control, CI/CD practices, testing, and code reviews. Preferred ...

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 ...

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 ...

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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 Aug 5, 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.

How much does a senior data engineer Python make?

A senior data engineer with Python skills typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. Compensation may also include bonuses, stock options, and benefits, especially in competitive markets or tech companies.

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.

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 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 the most commonly searched types of Data Engineer Python jobs in Santa Clara, CA? The most popular types of Data Engineer Python jobs in Santa Clara, CA are:
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:
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Senior Data Engineer Python jobs near you

Senior Data Engineer

Donato Technologies, Inc

Sunnyvale, CA • On-site

$124K - $169K/yr

Contractor

Re-posted 10 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.