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Remote Senior Data Engineer Jobs in California (NOW HIRING)

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: NTENT provides a Platform-as-a-Service (PaaS ...

JF Retail Services

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and ... Varied for retail, fulfillment and fully remote roles. The annual basesalary range for this ...

Allocate

Sr. Data Engineer

Palo Alto, CA · Remote

$134K - $161K/yr

Allocate is looking for a Senior Data Engineer to help build out the data infrastructure that ... This is a fully remote position where you will work alongside our backend team (C#/.NET) and ...

Apex Informatics

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 ...

EDO

Senior Data Engineer

Los Angeles, CA · On-site +1

$160K - $190K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... Senior Data Engineer at EDO, you will join a team of talented Data Engineers working closely with ...

Fuel Cycle

Senior Data Engineer

Los Angeles, CA · Remote

$114K - $155K/yr

Peer Senior Data Engineers on the founding data engineering team * AI product and platform ... Support for remote work setup * Wellness & Lifestyle Perks : Access to tools like Rightway (healt ...

Quanata

Senior Data Engineer [Remote-US]

San Francisco, CA · Remote

$215K - $300K/yr

The role We're looking for a Senior Data Engineer to help the team deliver data science services ... We are a remote-first company for most positions so you may work from anywhere you like in the U.S ...

Horizontal Talent

Sr. Data Engineer

San Francisco, CA · On-site +1

$60 - $96/hr

Join a dynamic data engineering team supporting large-scale analytics and cloud data solutions for a hybrid onsite role in San Francisco, CA. This position focuses on building reliable, high ...

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and ...

Spokeo

Copy of Senior Data Engineer

Pasadena, CA · Remote

$115K - $157K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... About this Opportunity As a Senior Data Engineer at Spokeo, you will develop, optimize, and improve ...

Thumbtack

Senior Data Engineer

San Francisco, CA · On-site +1

$210K - $272K/yr

About the Data Engineering Team Thumbtack's Data Engineering org is split into 3 groups: Core Data Engineering, Data Platform and Embedded Data Engineering. This role is on the Embedded Data ...

Pattern AI

Senior Data Engineer

San Mateo, CA · On-site +1

$120K - $164K/yr

We are looking for a savvy Data Engineer to join our growing team of data experts. The hire will be responsible for expanding and optimizing our data pipeline architecture, as well as optimizing data ...

Easy Recruiter

Senior Data Analyst (Remote)

San Diego, CA · Remote

$91K - $115K/yr

As the Senior Data Analyst, you will go beyond descriptive analytics - you'll drive descriptive ... a data engineering, business intelligence, or analytics role * Expert SQL knowledge: experience ...

Block

Senior Data Engineer, Risk

Bodega Bay, CA · On-site +1

$125K - $170K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... The Role As a Data Engineer you will handle everything from data architecture and modeling to data ...

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All JobsData Engineer JobsRemote Senior Data Engineer JobsRemote Senior Data Engineer Jobs in California

Remote Senior Data Engineer information

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What is a remote senior data engineer?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

How does a remote senior data engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

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

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.
What are the most commonly searched types of Senior Data Engineer jobs in California? The most popular types of Senior Data Engineer jobs in California are:
What are popular job titles related to Remote Senior Data Engineer jobs in California? For Remote Senior Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Senior Data Engineer jobs in California look for? The top searched job categories for Remote Senior Data Engineer jobs in California are:
What cities in California are hiring for Remote Senior Data Engineer jobs? Cities in California with the most Remote Senior Data Engineer job openings:
Remote Senior Data Engineer jobs near you
Infographic showing various Remote Senior Data Engineer job openings in California as of August 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 3% In-person, and 97% Remote job distribution.

Senior Data Engineer

NTENT

Carlsbad, CA • On-site, Remote

$109K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

Senior Data Engineer
Position: Full time
Location: Carlsbad office (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate Voice Assistant and Search technologies directly into their business-to-consumer offerings. NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information across the web. Through the company’s proprietary search engine, ontology and knowledge graph, NTENT makes it easier to decipher meaning, surfacing the most relevant answers, results, content and ads, via conversational interfaces or text.
We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.

About the Opportunity:
We are a dynamic company looking for our next great hire to join our team in Carlsbad, California.
We are looking for a Senior Data Engineer to join our team to manage and oversea data logging, pipelines, processing and presentation of data related to NTENT's platforms. The right candidate will take a lead role on the design of NTENT's next generation platform utilizing technologies outside of the Hadoop ecosystem.
Duties and Responsibilities:
  • Design, implement, and support ETL data pipelines in a big data environment
  • Maintain and improve existing data logging, pipeline and analytics platform
  • Architect and design next generation data platform with appropriate new technologies
  • Work with executives, product managers, machine learning scientists, and engineers to understand reporting and visualization needs
  • Design, implement, and support a SQL based data warehouse
  • Ensure reliability and accuracy of data logging and processing for all NTENT products
Skills and Qualifications:
  • Graduate degree in Computer Science or a similar field, or equivalent work experience
  • 3+ years working in Data Engineering or Data Warehousing
  • Experience with T-SQL, specifically Microsoft SQL Server
  • Experience with Database design and schema definition
  • Experience with Hadoop ecosystem (Hive, Pig, Oozie)
  • Experience with Python
  • Experience with Data Visualization and Reporting platforms
The following experience is a plus:
  • Tableau
  • Kafka
  • Spark
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life insurance.

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