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Sr Data Engineer Client Jobs in California (NOW HIRING)

SR. Data Engineer

San Diego, CA · On-site +1

$121K - $146K/yr

Senior Data Engineer Cupertino, CA or Austin, TX Onsite role Must have strong Python and SQL and take a code pad test we will give them before submittal. Also, must have Airflow Scala, Kafka and or ...

Senior Data Engineer

San Diego, CA · On-site

$124K - $190K/yr

Senior Data Engineer Overview CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces.Included in the S&P ...

Senior Data Engineer

San Diego, CA · On-site

$124K - $190K/yr

Senior Data Engineer Overview CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P ...

Senior Data Engineer

San Francisco, CA · On-site +1

$130K - $170K/yr

About the Role We're hiring a Senior Data Engineer to build the data foundation for a new discovery-stage team focused on Taskrabbit client retention and personalization. The team's mandate is to ...

New

Senior Data Engineer Overview CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces.Included in the S&P ...

Senior Data Engineer

San Diego, CA · On-site

$124K - $190K/yr

Senior Data Engineer Overview CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces.Included in the S&P ...

Sr. Data Engineer

San Jose, CA · On-site

$157K - $216K/yr

Description This position is ideal for senior-level data engineering professionals to join the Product Analytics team as a Sr. Data Engineer. You will drive the design, development, and management of ...

Senior Data Engineer

Sacramento, CA · On-site

$9.5K - $12K/mo

We are hiring a Senior Data Engineer (SDE) to lead the development of data pipelines to ingest, cleanse, transform, and integrate into the Cradle-to-Career Data System. The incumbent will ensure data ...

Sr Data Engineer, AIML

Cupertino, CA · On-site

$130K - $177K/yr

The AI and Machine Learning team is looking for Senior Data Engineer to build world-class data infrastructure and solutions that are used by data scientists, ML engineers and researchers to power ...

Sr Data Engineer, AIML

Cupertino, CA · On-site

$130K - $177K/yr

The AI and Machine Learning team is looking for Senior Data Engineer to build world-class data infrastructure and solutions that are used by data scientists, ML engineers and researchers to power ...

Sr. Data Engineer

San Jose, CA

$134K - $161K/yr

This position is ideal for senior-level data engineering professionals to join the Product Analytics team as a Sr. Data Engineer. You will drive the design, development, and management of robust data ...

Sr. Data Engineer

Palo Alto, CA · On-site

$145K - $220K/yr

Allocate is looking for a Senior Data Engineer to help build out the data infrastructure that ... tier client experience. * Challenge convention: Instead of detailing all the reasons why an idea ...

Sr. Data Engineer

Mountain View, CA · On-site

$170K - $210K/yr

Position Summary Sr Data Engineer - Samsung Ads About Samsung Ads: Samsung Ads is a fast-growing, advanced advertising technology business that helps brands connect with audiences across Samsung ...

Senior Data Engineer

Irvine, CA

$113K - $154K/yr

As a Sr. Data Engineer, you will help us refactor and move the existing ETL/ELT and analytics pipelines into the new environment, migrate the underlying data, and validate that everything lands ...

New

Senior Data Engineer

Irvine, CA

$113K - $154K/yr

As a Sr. Data Engineer, you will help us refactor and move the existing ETL/ELT and analytics pipelines into the new environment, migrate the underlying data, and validate that everything lands ...

New

The Senior Data Engineer owns the design and delivery of robust, scalable data pipelines, models, and infrastructure that power Crexi's data and analytics. The role drives data quality and ...

Showing results 41-60

Sr Data Engineer Client information

What is a Sr Data Engineer Client?

Sr Data Engineer Client roles refer to senior-level data engineering positions that focus on building, managing, and optimizing data infrastructure and pipelines to serve client-facing applications or external customers. These professionals are responsible for designing scalable data solutions, integrating diverse data sources, and ensuring data quality and security. They often collaborate with data scientists, analysts, and client teams to deliver actionable insights and support business objectives. Strong technical skills in data modeling, ETL processes, and cloud platforms are essential, along with experience in stakeholder communication.

What are some typical challenges a Sr Data Engineer Client might face when integrating client data systems with internal platforms?

Sr Data Engineers working with client data often encounter challenges such as aligning disparate data formats, managing inconsistent data quality, and ensuring data security during integration. Effective communication with both client and internal teams is crucial to clearly understand requirements and address technical limitations. These challenges can be mitigated by establishing robust data pipelines, thorough documentation, and proactive collaboration with stakeholders throughout the integration process.

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

To thrive as a Sr Data Engineer Client, you need extensive experience in data engineering, strong proficiency in SQL, Python, and data modeling, often supported by a bachelor's or master's degree in computer science or a related field. Mastery of big data tools (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and relevant certifications is highly valued. Exceptional problem-solving, communication, and stakeholder management skills help you bridge technical and business needs. These capabilities are crucial for delivering scalable data solutions that drive informed decision-making and client satisfaction.

What job categories do people searching Sr Data Engineer Client jobs in California look for?

The top searched job categories for Sr Data Engineer Client jobs in California are:

What cities in California are hiring for Sr Data Engineer Client jobs?

Cities in California with the most Sr Data Engineer Client job openings:

Infographic showing various Sr Data Engineer Client job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

SR. Data Engineer

Apex Informatics

San Diego, CA • On-site, Remote

$121K - $146K/yr

Other

Re-posted 19 days ago


Job description

Senior Data Engineer
Cupertino, CA or Austin, TX
Onsite role
Must have strong Python and SQL and take a code pad test we will give them before submittal. Also, must have Airflow Scala, Kafka and or Spark.
We are seeking an experienced, detail-minded data engineer to support Apple's worldwide business development and strategy team. If you are someone who looks forward to solving complex business problems and is excited about this opportunity, please reach out to us.
Requirements
  • 6+ years software engineering, including strong SQL and data focus
  • Expertise in languages like Python, Java, or Scala and technologies like Airflow, Spark, Trino, Kafka
  • Ability to analyze complex datasets and design solutions with optimum quality and efficiency
  • Familiarity with SDLC best practices, version control, CI/CD

Description
You will architect, develop, and test large scale and efficient solutions that provide Apple leadership with the accurate data required to rapidly understand and adapt to changing business conditions.
  • Design and implement scalable, efficient, and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability
  • Create data products, enabling self-service and predictability by any consumer
  • Build libraries and frameworks that drive leverage and productivity for the entire team
  • Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence

We are a rapidly growing team with plenty of interesting technical and business challenges to solve. We seek a self-starter, who is willing to learn fast, adapt well to changing requirements and work with cross functional teams.
Preferred Qualifications
  • BS or MS in Engineering/ Computer Science
  • Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage.
  • Knowledge of infrastructure as code (e.g., Terraform) and container orchestration tools (e.g., Kubernetes).