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Remote Startup Data Engineer Jobs in California (NOW HIRING)

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 ...

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 ...

Senior AWS Data Engineer

Mountain View, CA · On-site +1

$125K - $169K/yr

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... data integration patterns. * Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.

New

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Senior AWS Data Engineer

Mountain View, CA · Remote

$125K - $169K/yr

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... data integration patterns. * Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.

Data Ops Engineer

San Diego, CA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Reliability Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Showing results 41-60

Remote Startup Data Engineer information

What is the difference between Remote Startup Data Engineer vs Remote Startup Data Analyst?

AspectRemote Startup Data EngineerRemote Startup Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilding data pipelines, infrastructureInterpreting data, creating reports
Employer & Industry UsageTech startups, SaaS companiesMarketing agencies, e-commerce startups
Common Search & ComparisonOften compared for technical depth and infrastructure focusCompared for data interpretation and business insights

The main difference between a Remote Startup Data Engineer and a Remote Startup Data Analyst lies in their focus areas. Data Engineers build and maintain data infrastructure, while Data Analysts interpret data to inform business decisions. Both roles are essential in startups but require different skill sets and responsibilities.

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

The most popular types of Startup Data Engineer jobs in California are:

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

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

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

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

What cities in California are hiring for Remote Startup Data Engineer jobs?

Cities in California with the most Remote Startup Data Engineer job openings:

Infographic showing various Remote Startup Data Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Product Manager - Data Platform & Internal Tools

Glint Tech Solutions LLC

Sunnyvale, CA • Remote

$230K/yr

Full-time

Posted 25 days ago


Job description

About the Role

We are looking for a highly technical Senior Product Manager to drive the roadmap for our internal data platform and tooling. Reporting directly to the Principal Product Manager, you\'ll partner closely with Engineering, Data Science, and Leadership to build scalable infrastructure that powers critical business operations.

This is not a customer-facing product role. You\'ll own internal platforms, data pipelines, and developer tooling that enable engineering and data teams to move faster and make better decisions.

We\'re looking for someone with strong engineering roots who transitioned into Product Management and enjoys solving deeply technical problems.

Location
  • Remote (United States)
  • Candidates must be authorized to work in the U.S.
Compensation
  • $180,000 – $230,000 base salary
  • Competitive equity package
  • Comprehensive benefits
What You\'ll Do
  • Own the product strategy and roadmap for internal data platform and tooling initiatives.
  • Work closely with Engineering and Data Science teams to prioritize technical investments and platform capabilities.
  • Define product requirements for large-scale data infrastructure, ingestion pipelines, internal tools, and developer platforms.
  • Partner with engineers throughout the product lifecycle—from discovery through implementation and launch.
  • Drive initiatives involving data collection, normalization, modeling, storage, and internal analytics infrastructure.
  • Manage product priorities across multiple technical stakeholders while balancing business and engineering needs.
  • Use data to evaluate product success and continuously improve platform capabilities.
  • Influence cross-functional teams through strong technical communication and product leadership.
Required Qualifications
  • 5+ years of experience as a Product Manager or equivalent cross-functional product leadership role.
  • Prior hands-on engineering experience is required (Software Engineer, Data Engineer, Machine Learning Engineer, Data Scientist, or highly technical Data Analyst).
  • Proven experience owning highly technical products focused on data platforms, internal tooling, or infrastructure.
  • Experience building products involving large-scale data pipelines, ingestion, transformation, normalization, and data modeling.
  • Strong understanding of modern cloud infrastructure and data ecosystems.
  • Hands-on familiarity with Python and AWS.
  • Experience working with one or more big data technologies such as:
    • Spark
    • Databricks
    • BigQuery
    • Snowflake
    • Amazon Redshift
  • Experience working with SQL and relational databases.
  • Ability to collaborate effectively with Engineering and Data Science teams.
  • Excellent written and verbal communication skills with strong executive presence.
Preferred Qualifications
  • Experience at a Series B or Series C startup.
  • Startup product ownership with end-to-end responsibility.
  • Experience in FinTech, Payments, Fraud, Identity, Cybersecurity, AI Infrastructure, or other highly technical domains.
  • Experience managing products supporting machine learning, analytics infrastructure, or internal engineering platforms.
  • Founder or entrepreneurial experience is a strong plus.
  • Experience with Golang, PostgreSQL, OpenSearch, or related backend technologies.