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Senior Data Engineering Jobs in California (NOW HIRING)

Knit Health

Senior Data Scientist

San Francisco, CA

$140K - $175K/yr

As a senior member of our growing data science team, you will lead the design, curation, and ... Partner with Data Engineering on the design and implementation of large-scale data processing ...

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

UCLA Health

Senior Data Engineer

Los Angeles, CA · On-site

$109K - $243K/yr

What You'll Do As a Senior Data Engineer, you will: * Design, develop, and maintain scalable data ... Implement modern data engineering best practices, including modular design, automated testing, CI ...

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 ...

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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 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 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 much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in tools like SQL, Python, and cloud platforms, which can influence compensation levels.

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
Infographic showing various Senior Data Engineering job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer (Python)

Hyundai Autoever America

Irvine, CA • On-site

$122K - $147K/yr

Full-time

Medical, Dental, PTO

Posted yesterday

New

Job description

10607 – Senior Data Engineer 
Location: Irvine, CA
Company Overview  
Hyundai AutoEver America (HAEA) is the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis. 
HAEA offers a truly global and collaborative environment. Here, you’ll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group. 
At HAEA, we understand that IT is the cornerstone of today’s fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai’s Global Headquarters and North American operations. 
If you’re passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that’s driving the future of automotive innovation. 
Website: http://www.haeaus.com 
 
Role Overview: 
We are seeking a motivated and detail-oriented Senior Data Engineer to join our growing data engineering team. The ideal candidate will have strong experience in Python-based data engineering, workflow orchestration using Apache Airflow, and building scalable data solutions using Lakehouse and Medallion Architecture (Bronze, Silver, Gold) principles.
In this role, you will collaborate with data scientists, analysts, architects, and business stakeholders to design, develop, and optimize modern data pipelines that support analytics, reporting, and advanced data-driven initiatives. The successful candidate will have hands-on expertise in data ingestion, transformation, data quality, automation, and cloud-based data platforms.
Key Responsibilities 
  • Design, develop, and maintain scalable and reliable Python-based data pipelines for ingesting, processing, and transforming large volumes of data.
  • Build and manage data workflows using Apache Airflow, including scheduling, monitoring, alerting, and troubleshooting production jobs.
  • Implement and support Medallion Architecture (Bronze, Silver, Gold) data layers to enable efficient data processing, governance, and analytical consumption.
  • Develop robust ETL/ELT solutions to ingest data from databases, APIs, flat files, streaming sources, and third-party systems into enterprise data platforms.
  • Create reusable Python frameworks and libraries to standardize data ingestion, transformation, validation, and monitoring processes.
  • Apply data quality checks, validation rules, and reconciliation processes to ensure accuracy and reliability of data assets.
  • Optimize data pipelines for performance, scalability, fault tolerance, and cost efficiency.
  • Manage production data workloads, perform root cause analysis, and implement performance tuning strategies.
  • Design and maintain data models that align with business requirements and support analytics, reporting, and machine learning use cases.
  • Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
  • Develop automation solutions for operational processes, deployment activities, and data quality monitoring.
  • Implement CI/CD best practices for data engineering workflows, including version control, testing, and automated deployments.
  • Create and maintain monitoring dashboards, alerts, and operational metrics for data pipeline health and performance.
  • Ensure adherence to data governance, security, compliance, and metadata management standards.
  • Document data architecture, pipeline designs, transformation logic, and operational procedures.
  • Support the implementation of master data management, reference data management, and enterprise data integration initiatives as needed.
  • Contribute to the continuous improvement of data engineering best practices, coding standards, and architectural frameworks.
Basic Qualifications 
  • 7+ years of experience in data warehouse or MDM applications.
  • Bachelor's degree in computer science, Information Technology, or related field.
  • Extensive knowledge of SQL and experience with relational databases.
  • Strong programming and scripting skills, including Python and PL/SQL.
  • Hands-on experience developing ETL/ELT data pipelines and supporting production data workloads.
Preferred Qualifications 
  • Experience implementing Lakehouse architectures and Bronze/Silver/Gold (Medallion) data models.
  • Experience with cloud-based data platforms such as Azure Data Lake, AWS, or GCP.
  • Familiarity with Spark/PySpark and distributed data processing frameworks.
  • Experience with Git, CI/CD pipelines, and DevOps practices.
  • Experience designing reusable frameworks for data ingestion, transformation, validation, and monitoring.
  • Familiarity with data governance, security, compliance, metadata management, master data management, or reference data management standards.

Salary range:  $96,550 - $138,061
In addition to a competitive salary, this position offers a fantastic benefits package that includes comprehensive medical/dental coverage, generous PTO, education assistance, and annual merit increase eligibility in a growth-focused work environment.  
 
Team Culture:   
Our team thrives on collaboration, innovation, and continuous learning. We foster a supportive environment where every member is encouraged to share ideas and contribute to problem-solving. We value:  
  • Passion for Technology: We are enthusiastic about emerging technologies and their potential to transform the automotive industry.  
  • Agility: We work in an agile environment, adapting quickly to changes and continuously improving our processes.  
  • Teamwork: We believe in the power of teamwork and collaboration, supporting each other to achieve common goals.  
  • Growth: We prioritize personal and professional growth, offering opportunities for learning and development.  
  • Inclusivity: We maintain an inclusive culture where diverse perspectives are valued and everyone feels welcome.  
Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws. The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.  
 

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