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Senior Data Engineering Jobs in California (NOW HIRING)

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Senior Data Engineer

San Francisco, CA

$124K - $169K/yr

Well-known technology platform company is looking for a Senior Data Engineer to join a growing team ... What you need: - 5+ years of data engineering experience - Strong Python development skills ...

YO AI Labs

Senior Data Engineer

Glendale, CA

$112K - $152K/yr

Senior Data Engineer * Experience: 5-20 Years * Location: Glendale, USA * Job Type: Contract, On ... Qualifications: * 5+ years of data engineering experience developing large data pipelines

Apptad Inc

Senior Data Architect

Irvine, CA · On-site

$72.25 - $96.50/hr

We are seeking a visionary and hands-on Senior Data Engineering Architect to design, scale, and optimize our enterprise data platform. In this role, you will define the blueprints for our data estate ...

New

Generis TEK Inc.

Senior Data Architect-Hybrid

Burbank, CA · On-site

$55 - $60/hr

Senior Data Architect-Hybrid-Burbank,CA Location :Burbank,CA Hybrid Project Duration : 6+ Month ... Engineering, and large-scale data migration, preferably within Pension/Retirement, Financial ...

New

Hunter Industries

Senior Data Engineer

San Marcos, CA · On-site

$108K - $146K/yr

The Senior Data Engineer acts as a bridge between business needs and technology implementation ... Minimum five years' experience in data engineering, data integration, and optimization. * Proven ...

Windfall

Senior Data Engineer

San Francisco, CA · On-site

$170K - $220K/yr

As a Sr. Data Engineer on our data team, you will be building out the core data asset that ... Orchestration - Airflow Requirements: * 4-8 years of professional data engineering experience

Addison Group

Senior Data Engineer

Emeryville, CA · On-site

$140/day

Senior Data Engineer Industry: Healthcare Location: Emeryville, CA Assignment Type: Full time, ... engineering practices including Python-based development and CI/CD-driven pipelines. The ideal ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site

$109K - $148K/yr

Senior Data Engineer Position: Full time Location: Carlsbad office (Initially Remote) About Us ... Engineering or Data Warehousing * Experience with T-SQL, specifically Microsoft SQL Server

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Senior Data Engineer Position: Full time Location: Carlsbad office (Initially Remote) About Us ... Engineering or Data Warehousing * Experience with T-SQL, specifically Microsoft SQL Server

Conch Technologies Inc

Senior Data Engineer

Anaheim, CA · On-site

$111K - $150K/yr

Senior Data Engineer Location: Anaheim, CA (Hybrid - 2 to 3 days onsite per week) Duration:6+ Months Note : W2 role No C2CJob Summary We are seeking an experienced Senior Data Engineer to join our ...

Cynet Systems

Senior Data Engineer

San Jose, CA · On-site

$55 - $60/hr

Senior Data Engineer Job Location: San Jose, CA Job Type: Contract Job Overview ... Pay Range: $55.00hr - $60.00hr Requirement/Must Have: * 5+ years of experience in data engineering ...

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

... engineers, data engineers, and subject matter expertsTranslate mission needs into analytical ... senior leadershipMinimum QualificationsU.S. Citizenship with an active or interim Secret ...

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Senior Data Engineering information

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

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.

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 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 do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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
Infographic showing various Senior Data Engineering job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Engineer (San Francisco)

Evolve Group

San Francisco, CA • On-site

$180K - $220K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Base pay range

$180,000.00/yr - $220,000.00/yr

We're currently working on behalf of an early stage start-up who are leveraging AI to modernize the data engineering industry. They're looking for a Senior Data Engineer to join their team in San Francisco and work on PB scale data pipelines, scaling their cloud infrastructure, and build their intelligent SQL ecosystem.

With multiple years of runway and another funding round coming, this is a fantastic time to join a growing start-up.

Requirements
  • 7+ years experience working as a Data Engineer, ideally with some exposure to early or growth stage start-ups
  • Strong exposure to Snowflake or Databricks and query optimization
  • Commercial exposure to Airflow, DBT, Prefect or other similar tools
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