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Remote Big Data Jobs in California (NOW HIRING)

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Powered by AI, big data, and predictive analytics, our platform helps revenue teams identify buying ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

Sequoia Connect

Senior AWS Data Engineer

Mountain View, CA · On-site +1

$125K - $169K/yr

Experience with enterprise data lakes, data warehouses, data marts, and big data environments ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Dlapiper

Data Scientist

San Diego, CA · On-site +1

... Big data tools: Hadoop, Azure, etc. * Experience in a professional services or law firm is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Los Angeles, CA · On-site +1

... Big data tools: Hadoop, Azure, etc. * Experience in a professional services or law firm is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

San Francisco, CA · On-site +1

... Big data tools: Hadoop, Azure, etc. * Experience in a professional services or law firm is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Verse

Software Engineer, Data Engineering

San Francisco, CA · On-site +1

$134K - $162K/yr

United States (remote) What is Verse? The race to AI has become the race to power. Every ... Intimate knowledge of scaling "big data" solutions in cloud-based environments * Hands on ...

Dlapiper

Data Scientist

Palo Alto, CA · On-site +1

... Big data tools: Hadoop, Azure, etc. * Experience in a professional services or law firm is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

6sense

Sr. Software Engineer

San Francisco, CA · Remote

$179K - $263K/yr

Experience in the Big Data technologies (Hadoop, M/R, Hive, Spark, Flink, Metastore, Presto, Kafka ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Design, implement, and support ETL data pipelines in a big data environment * Maintain and improve ...

GDIT

AI Data Scientist

Los Angeles, CA · On-site +1

Skills: AI Systems, Big Data, Datasets Certifications: None Experience: 2 + years of related ... a remote work model GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at ...

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google ... Facebook knowledge will be big plus * Very proficient with installation, data interruption to ...

Karma Automotive

Sr. Engineer II - Software Design

Irvine, CA · Remote

$130K - $172K/yr

We're looking for someone who is up to the challenge of leading our big data analysis efforts and ... remote diagnostics, and telematics functionalities. * Write efficient and optimized code in ...

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Showing results 41-60

All JobsBig Data JobsRemote Big Data JobsRemote Big Data Jobs in California

Remote Big Data information

See California salary details

$45.4K

$162.9K

$240.3K

How much do remote big data jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote big data in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is a remote big data?

A Remote Big Data job involves working with large datasets, analyzing trends, and optimizing data infrastructure, all while telecommuting. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret complex data. They may work for tech companies, finance, healthcare, or other industries that rely on data insights. A strong background in data engineering, analytics, or machine learning is often required. These roles offer flexibility but demand strong communication and collaboration skills for remote teamwork.

What are the typical daily responsibilities of a remote big data professional?

As a Remote Big Data professional, your daily tasks often include developing, maintaining, and optimizing large-scale data processing pipelines, analyzing datasets to extract insights, and troubleshooting performance issues. You’ll collaborate closely with cross-functional teams—such as data engineers, analysts, and product managers—through virtual meetings and shared documentation tools. Regular responsibilities may also involve implementing data quality standards, ensuring data security, and integrating new data sources. The remote aspect of the role emphasizes self-motivation and clear digital communication to keep projects on track. This position offers a dynamic workday where your contributions directly impact business intelligence and innovation.

What are the key skills and qualifications needed to thrive in the remote big data position?

To excel as a Remote Big Data professional, a solid background in data analysis, distributed computing, and programming languages such as Python, Java, or Scala is essential, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or Google Cloud) as well as relevant certifications can be highly advantageous. Strong problem-solving abilities, self-management, and effective remote communication skills are critical for collaborating with distributed teams. These combined skills enable professionals to efficiently process massive datasets, create scalable solutions, and contribute to data-driven decision-making from a remote environment.

What are the most commonly searched types of Big Data jobs in California?

The most popular types of Big Data jobs in California are:

What are popular job titles related to Remote Big Data jobs in California?

For Remote Big Data jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Big Data jobs in California look for?

The top searched job categories for Remote Big Data jobs in California are:

What cities in California are hiring for Remote Big Data jobs?

Cities in California with the most Remote Big Data job openings:

Remote Big Data jobs near you
Infographic showing various Remote Big Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Sr. Data Scientist

6sense

San Francisco, CA • Remote

$162K - $238K/yr

Full-time

Medical, Life, Retirement, PTO

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

Job description

About 6sense

6sense is revolutionizing how B2B organizations create, manage, and convert pipeline to revenue. Powered by AI, big data, and predictive analytics, our platform helps revenue teams identify buying intent, engage the right accounts, and drive growth.

The Opportunity

We're looking for a Senior Data Scientist (IC4) to join our growing AI and Data Science team. This is an exciting opportunity for an experienced ML practitioner who enjoys building production-grade AI systems and transforming cutting-edge research into impactful customer-facing products.

You will work on advanced machine learning, NLP, LLMs, Agentic AI, and GenAI applications that directly influence product innovation and customer outcomes.

What You'll Do
  • Design, build, and deploy scalable machine learning and AI solutions in production environments.
  • Develop NLP and transformer-based systems for enterprise-scale applications.
  • Build Agentic AI workflows leveraging frameworks such as LangGraph and LangChain.
  • Own the end-to-end ML lifecycle, including:
    • Data exploration
    • Feature engineering
    • Model development
    • Evaluation
    • Deployment
    • Monitoring
  • Develop ranking, recommendation, classification, prediction, and optimization models.
  • Partner closely with Product, Engineering, and Analytics teams to solve complex business problems.
  • Improve performance, scalability, reliability, and observability of production ML systems.
  • Contribute to AI platform architecture and technical strategy.
  • Mentor engineers and help elevate engineering excellence across the organization.
What We're Looking ForRequired Qualifications
  • 8+ years of experience building and deploying machine learning solutions in production.
  • Strong foundation in Machine Learning, Statistics, and Applied Data Science.
  • Experience with:
    • Supervised & Unsupervised Learning
    • Recommendation Systems
    • Ranking Models
    • Predictive Modeling
  • Deep expertise in:
    • NLP
    • Transformers
    • Embeddings
    • Encoder-Decoder Architectures
    • Retrieval-based Systems
  • Hands-on experience with GenAI ecosystems including:
    • LangGraph
    • LangChain
    • Amazon Bedrock
  • Strong Python programming skills.
  • Experience building distributed ML systems and pipelines using AWS and Databricks.
  • Strong understanding of feature engineering, model evaluation, and MLOps.
  • Ability to independently solve ambiguous problems and drive execution.
  • Strong product mindset with focus on customer impact and business outcomes.
Preferred Qualifications
  • Experience building Agentic AI and Multi-Agent Systems.
  • Experience with:
    • RAG Architectures
    • Vector Databases
    • Prompt Engineering
  • Hands-on experience with PyTorch and/or TensorFlow.
  • Prior experience in B2B SaaS or customer-facing AI products.

Base Salary Range: $162,923.67 - $238,954.71. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense's total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense's board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

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