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Senior Data Engineering Jobs in California (NOW HIRING)

Donato Technologies, Inc

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA (Local candidates preferred) or with in the time zone ... Qualifications: * 6+ years of experience in data engineering, with a strong focus on Python and ...

Hirekeyz Inc

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA Job Type: Contract/W2 Key Skills: Tableau, Python ... Qualifications: * 6+ years of experience in data engineering, with a strong focus on Python and ...

The Walt Disney Company

Sr Data Engineer

Glendale, CA · On-site

$135K - $181K/yr

Job Posting Title: Sr Data Engineer Req ID: 10145881 The Senior Data Engineer will design, build ... The ideal candidate applies technical expertise to challenging engineering problems and ...

Moffitt

SENIOR DATA ENGINEER

Long Beach, CA

$111K - $151K/yr

This role combines with technical aspects of data engineering with the business understanding of the systems and processes involved. As a Senior Data Engineer on the Data Engineering team, you will ...

Kaav Inc

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Director of Data Engineering - Platform Engineering About the Role : As a Senior Data Engineer, you will play a pivotal role in designing, implementing, and optimizing data services and pipelines ...

Welbehealth

Sr. Data Engineer

Los Angeles, CA

$114K - $155K/yr

... engineering excellence through Agile delivery, DevOps practices, and mentorship of fellow data ... Senior Data Engineer who is passionate about building modern, scalable data platforms that enable ...

WelbeHealth

Sr. Data Engineer

Los Angeles, CA

$114K - $155K/yr

... engineering excellence through Agile delivery, DevOps practices, and mentorship of fellow data ... Senior Data Engineer who is passionate about building modern, scalable data platforms that enable ...

WelbeHealth

Sr. Data Engineer

Los Angeles, CA

$114K - $155K/yr

... engineering excellence through Agile delivery, DevOps practices, and mentorship of fellow data ... Senior Data Engineer who is passionate about building modern, scalable data platforms that enable ...

Paul Hastings

Senior Data Engineer

Los Angeles, CA

$194K/yr

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Bachelor's degree in Computer Science, Engineering or related field (required); * 7+ years of data ...

WelbeHealth

Sr. Data Engineer

Los Angeles, CA · On-site

$114K - $155K/yr

... engineering excellence through Agile delivery, DevOps practices, and mentorship of fellow data ... Senior Data Engineer who is passionate about building modern, scalable data platforms that enable ...

YO AI Labs

Senior Data Engineer

Glendale, CA · On-site

$112K - $152K/yr

* Job title: Senior Data Engineer * Experience: 8-15 Years * Location: Glendale, USA * Job Type ... Python for data engineering and automation. * Advanced SQL (complex queries, optimization ...

JF Retail Services

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

About the Team We're a lean, high-impact Data Engineering team building the data foundations that power measurement, personalization, and product innovation at Fabletics. Operating at the ...

Fabletics

Sr. Data Engineer

El Segundo, CA · On-site

$140K - $150K/yr

About the Team We're a lean, high-impact Data Engineering team building the data foundations that power measurement, personalization, and product innovation at Fabletics. Operating at the ...

Kikoff

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

They are seeking a Senior Data Engineer to collaborate with data scientists and engineers to design ... Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field • A ...

GSK

Senior Data Platform Engineer

South San Francisco, CA · On-site

$137K - $165K/yr

Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time We are looking for a skilled and experienced Sr ...

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Senior Data Engineering information

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or within large organizations. Salary levels depend on factors such as location, industry, certifications, and the complexity of projects handled.

What is a Senior Data Engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

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

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-cost living areas or with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation may also include bonuses, stock options, and other benefits depending on the company and location.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

What engineer makes $500,000 a year?

Senior Data Engineers in high-demand industries or with extensive experience, specialized skills in cloud platforms, and advanced certifications can earn salaries approaching or exceeding $500,000 annually, especially in major tech companies or financial institutions. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise in data pipelines, distributed systems, and big data tools.

What engineers make $300,000 a year?

Senior Data Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation varies by industry, location, and company size, with some roles in finance or technology offering higher salaries for senior-level professionals.

How does a Senior Data Engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.
What are the most commonly searched types of Data Engineering jobs in California? The most popular types of Data Engineering jobs in California are:
What are popular job titles related to Senior Data Engineering jobs in California? For Senior Data Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineering jobs in California look for? The top searched job categories for Senior Data Engineering jobs in California are:
What cities in California are hiring for Senior Data Engineering jobs? Cities in California with the most Senior Data Engineering job openings:
Senior Data Engineering jobs near you
Senior Data Engineer

Senior Data Engineer

Donato Technologies, Inc

Sunnyvale, CA • On-site

$124K - $169K/yr

Contractor

Posted 22 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.