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Remote Senior Data Engineer Jobs in California (NOW HIRING)

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Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience as a Data Platform Engineer or ML/AI Engineer with significant handson work in Snowflake ...

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Feature engineering * Model development * Evaluation * Deployment * Monitoring * Develop ranking ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

IQVIA

Senior Data Team Lead (Remote)

San Francisco, CA · Remote

$86K - $217K/yr

IQVIA is growing! Hiring multiple Senior Data Team Leads across our FSP (Functional Service ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

IQVIA

Senior Data Team Lead (Remote)

Oakland, CA · Remote

$86K - $217K/yr

IQVIA is growing! Hiring multiple Senior Data Team Leads across our FSP (Functional Service ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

IQVIA

Senior Data Team Lead (Remote)

San Diego, CA · Remote

$86K - $217K/yr

IQVIA is growing! Hiring multiple Senior Data Team Leads across our FSP (Functional Service ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

IQVIA

Senior Data Team Lead (Remote)

Anaheim, CA · Remote

$86K - $217K/yr

IQVIA is growing! Hiring multiple Senior Data Team Leads across our FSP (Functional Service ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

Tailored Brands

Sr Data Analyst - Store Analytics

Dublin, CA · On-site +1

$96K - $122K/yr

... Data Engineering, and helps shape the evolution of the Store Insights capability. What You'll Do ... from a remote office location Benefits This role is eligible for healthcare including medical ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviews * Design and build data foundations ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviews * Design and build data foundations ...

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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 5% In-person, and 95% Remote job distribution.

Data Engineer/Senior Data Engineer, Data and Science

Aircall.io, Inc.

San Francisco, CA • On-site, Remote

$130K - $200K/yr

Full-time

Posted 20 days ago

Job description

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.

Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.

Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.

At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.

How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here.

About the role

The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.

In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.

Responsibilities:

  • Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
  • Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.
  • Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.
  • Own the core company data pipeline, responsible for converting business needs to efficient & reliable data pipelines.
  • Participate in code reviews to ensure code quality and share knowledge.
  • Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.
  • Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics.
  • Collaborate with applied scientists, data scientists, analysts and other business stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration

A little more about you:

  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
  • Proficient in SQL and Python, with the ability to translate complexity into efficient code.
  • Experience with data workflow development and management tools (dbt, Airflow).
  • Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.
  • Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  • Prior experience designing AI-ready data semantic layer is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.
  • Experience with data tooling, data governance, business intelligence and data privacy is a plus.

Level will be determined by a variety of factors, including years of experience, the scope and complexity of that experience, and interview performance.

Base salary range:
$130,000—$200,000 USD

Why join us?

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????‍♀️ Our people matter, work-life balance is important at Aircall

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DE&I Statement:

At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.

We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.

We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.

Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.