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Commission Startup Data Engineer Jobs in California

Gridsight is a rapidly growing GridTech startup dedicated to accelerating global electrification ... The Role Our Customer Data Engineers own data integration with our customers, ensuring they get ...

Sr. Data Engineer

Union City, CA · On-site

$130K - $156K/yr

Company Description Third Wave Automation is a rapidly growing startup that has demonstrated its ... As our dedicated Data Engineer, you aren't just joining a team; you are the architect of our data ...

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 ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

Sr. Data Engineer

Union City, CA · On-site

$130K - $156K/yr

Company Description Third Wave Automation is a rapidly growing startup that has demonstrated its ... As our dedicated Data Engineer, you aren't just joining a team; you are the architect of our data ...

Senior Data Engineer

San Mateo, CA · On-site

$120K - $164K/yr

We are looking for a savvy Data Engineer to join our growing team of data experts. The hire will be ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

Data Engineer

San Mateo, CA · On-site

$180K - $350K/yr

This is a high-impact opportunity to work in a fast-paced, profitable startup where you'll have ... You will contribute to shared data engineering tooling, standards, and best practices to improve ...

Senior Data Engineer

Los Angeles, CA · On-site

$158K - $214K/yr

The Senior Data Engineer owns the design and delivery of robust, scalable data pipelines, models ... Rapidly growing startup with a dynamic work environment * Flexible team structure with the ability ...

Senior Data Engineer

San Mateo, CA · On-site

$140K - $160K/yr

About Chartmetric Chartmetric, Inc. is a 10-year-old startup specializing in music data analytics ... Bachelor's degree in Computer Science, Data Engineering, or equivalent practical experience

Forward Deployed Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

At Vori, Forward Deployed Data Engineers bridge the gap between customer systems and our modern ... As a startup we constantly have to prove our right to exist. But if we win, we have the chance to ...

Description As a Data Engineer on our team, you'll thrive in a fast-paced, startup-like environment ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

AI Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Self-driven, mission-driven, curious, and constructive - a startup mindset with strong ... Depending on the position offered, equity, bonuses, commission, or other forms of compensation may ...

Data Engineer

San Francisco, CA · On-site

$320K - $405K/yr

About the Role As a Data Engineer, you will be an early member of the Data Science & Analytics team ... commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000-$405 ...

As a member of the Data Engineering Platform (DEP) team - the foundational layer of our platform ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Software Data Engineer

Cupertino, CA · On-site

$150 - $278/hr

As a member of the Data Engineering Platform (DEP) team -- the foundational layer of our platform ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Senior Data Engineer

Los Angeles, CA · On-site

$158K - $214K/yr

The Senior Data Engineer owns the design and delivery of robust, scalable data pipelines, models ... Rapidly growing startup with a dynamic work environment * Flexible team structure with the ability ...

Senior Data Engineer

San Francisco, CA · On-site

$200K - $400K/yr

Why This Role You'd be building and owning the entire data engineering function at a hypergrowth consumer startup where data runs through every layer of the business. Every product decision, every ...

Senior Data Engineer

San Francisco, CA · On-site

$200K - $400K/yr

Why This Role You'd be building and owning the entire data engineering function at a hypergrowth consumer startup where data runs through every layer of the business. Every product decision, every ...

Showing results 21-40

Commission Startup Data Engineer information

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

AspectCommission Startup Data EngineerCommission Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentTech startups, cloud platforms, data pipelinesBusiness teams, reporting tools, data visualization
Employer & Industry UsageStartups, tech companies, SaaS providersFinancial, marketing, retail sectors

The Commission Startup Data Engineer focuses on building and maintaining data infrastructure, while the Commission Data Analyst interprets data to support business decisions. Both roles require strong analytical skills, but the Data Engineer emphasizes technical development, whereas the Data Analyst emphasizes data interpretation and reporting.

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

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

Customer Data Engineer

Gridsight

San Francisco, CA • On-site

Full-time

Re-posted 8 days ago


Job description

About Gridsight
Electricity grids are undergoing the most significant transformation in a century. The shift to renewables, the proliferation of rooftop solar, batteries, and EVs, and the increasing complexity of distribution networks are forcing utilities to operate their grids in fundamentally new ways. Gridsight is the analytics platform that makes this possible.
Gridsight is a rapidly growing GridTech startup dedicated to accelerating global electrification and decarbonization. We are an AI-powered vertical SaaS platform that enables electric utilities to modernize grid operations, accelerate DER interconnection, and unlock dynamic grid capacity. The opportunity is enormous.
Why Now
Gridsight was founded in Australia five years ago. Since then, we've established a strong product-market fit and emerged as the category leader. We are now scaling rapidly across the US with multiple Top 20 utilities.
This role exists because we're growing faster than our current implementation process, and we need someone who can both roll up their sleeves to deliver today and help us build the tooling and process that makes tomorrow faster.
You'll be working at the intersection of delivery and data - close to customers, close to the commercial team, and close to the product and engineering decisions that shape what we build next.
The Role
Our Customer Data Engineers own data integration with our customers, ensuring they get value from Gridsight's platform quickly and seamlessly. You'll work directly with utility customers to understand their data environments, guide them through Gridsight's requirements, and lead the technical work of getting their data into the platform. You'll also contribute to the internal tooling that makes the next implementation faster and to the product work that accelerates time-to-value.
You'll spend roughly half your time in conversations with customers, half heads-down wrangling data, running transforms, and configuring the system.
Gridsight runs an AI-forward stack that gives data engineers access to best-in-class tooling across data infrastructure, orchestration, and AI-assisted development, including: Databricks, dbt, Dagster, AWS, and enterprise Claude Code. Staying ahead of the curve is part of the job.
Key Responsibilities
Customer Implementations (~80%)
  • Lead end-to-end data implementation engagements with utility customers, from running workshops to scope data requirements through to live data flowing in the platform.
  • Set up and configure data infrastructure in line with Gridsight's current implementation process.
  • Map incoming customer data to Gridsight's schemas, develop code to transform customer data, and validate outputs against quality standards.
  • Review incoming customer data against expected schemas and quality standards, providing clear and constructive feedback on issues.
  • Run and monitor the data pipelines required to deliver a successful implementation.
  • Drive customer data deliveries to completion. Triage and unblock issues, communicate clearly with customers and internal stakeholders, and maintain momentum.
  • Manage complex implementation situations with composure; maintain momentum and tight timelines, incomplete data, shifting priorities, and competing demands.

Product Support (~20%)
  • Identify and communicate patterns across customer engagements to inform product direction.
  • Partner with Gridsight's data engineering team to productize implementation and transformation logic - turning bespoke code into repeatable, platform-ready tooling.
  • Scope the data requirements needed to enable new product capabilities.
  • Contribute to internal documentation, playbooks, and tooling that improve the efficiency and consistency of future implementations.
  • Bring a tool-first mindset to the work: spot manual steps that can be automated, and take initiative to improve them.

Qualifications
  • 4+ years of professional experience in data engineering, analytics engineering, technical consulting, or a similar role that combines hands-on data work with direct customer or stakeholder engagement.
  • Advanced SQL skills and demonstrated ability to analyse, validate, and wrangle complex or messy datasets.
  • Proficiency in Python for data transformation, validation, and scripting.
  • Experience with dbt or similar ELT/ETL frameworks and working within data pipelines.
  • Ability to lead customer-facing technical engagements - managing expectations, communicating data requirements clearly, and driving deliveries to completion.
  • Experience with cloud data infrastructure and modern development practices (Git, command-line environments, collaborative codebases).
  • A track record of building internal tools, leveraging AI-assisted development tooling or automating manual work to improve process efficiency.
  • Comfort with ambiguity - customer data environments are varied and there won't always be a playbook.
  • Proactive and self-directed - you see what needs doing and drive it to completion without close supervision.

What We Offer
  • Rapidly scaling venture-backed company on the ground floor.
  • Highly competitive salary, equity, and comprehensive benefits package.
  • A mission that matters in an industry going through its biggest transformation in a century.
  • A team worth working with - big hustle, low ego, great vibes - that's motivated by solving difficult, meaningful problems.
  • All-expenses-paid trips to Australia to co-work with your colleagues 'down under.'
  • Flexible, hybrid working environment with offices in San Francisco and Austin.