Software Engineer, Analytics Platform

Gridmatic Inc; Cupertino (CA); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Education stipend

Flexible PTO

Health benefits

401K match

Parental leave

Life insurance

Home office stipend

Stock options loan

Job summary

Gridmatic Inc. is hiring a data-focused software engineer to design core data models for trades and assets, build pipelines for market and settlement data, and enhance our data platform with tools like BigQuery, DBT, Flyte, and Kubernetes.

You will enable self-serve analytics across the company while collaborating across product, finance, and operations. The role requires strong Python and SQL, data modeling expertise, and comfort with messy real-world data.

Qualifications

• Strong production Python and SQL skills; backend APIs experience.
• Data modeling with relational DBs and data warehouses.
• Experience handling messy real-world data (late arrivals, corrections, backfills).
• Ability to scale datasets across long time horizons and many customers.
• Thrives in a startup environment and collaborates across teams.
• Eager to learn energy markets; prior experience not required.

Responsibilities

• Design core data models for trades, assets, and contracts.
• Build data pipelines ingesting market and settlement data.
• Develop data platform improvements using BigQuery, DBT, Flyte, Kubernetes.
• Enable self-serve analytics for teams across the company.

Skills

Python

SQL

Backend APIs

Data modeling

Scalability

Tools

BigQuery

DBT

Flyte

Kubernetes

Airflow

Dagster

Prefect

Postgres

React

Job description

Gridmatic trades power, runs battery storage, buys renewable supply and sells electricity to retail customers. We’re looking for a startup-minded software engineer who’s great with data: you'll build the data systems our business runs on, designing core data models for trades and assets, building the pipelines that bring in outside market and settlement data, and automating the steps in between.

What you might work on

• Core data models: we design and build the core entities that the company relies on: trades, assets, renewable supply, and energy contracts, which power our financial understanding of all aspects of the business.
• Data ingestion: we build pipelines to ingest financial exchanges and grid operators.
• Data platform: we’re continually improving our platform (based on BigQuery, DBT, Flyte, and Kubernetes) so engineers and analysts can ship changes quickly.
• Self-serve analytics: improving AI’s understanding of our data so that people across the company can get accurate answers to important business questions.

You might be a good fit if you

• Have strong production Python and SQL skills, and have built backend services and APIs.
• Are really good at data modeling, both with relational DBs and data warehouses.
• Have built systems that deal with messy real-world data: late arrivals, corrections, and backfills.
• Understand how to scale datasets across long time horizons and lots of customers.
• Can thrive in an ambiguous startup environment, working with people across many teams to solve important problems.
• Want to learn the domain of energy markets and trading. Prior experience isn’t required.

We’re looking for a software engineer that has worked extensively with data systems, or a data engineer with strong software skills.

Nice-to-haves

• Experience building trading, billing, accounting or other financial systems.
• Orchestration tools like Flyte, Airflow, Dagster or Prefect.
• BigQuery, Postgres and dbt.
• React, for internal tools.

Taking care of you today:

• Continuing Education Opportunities
• Flexible PTO
• Medical, Dental and Vision plans with competitive employer contributions
• $1500/year non profit donation matching program through Millie
• Home Office Stipend

Protecting your future for you and your family:

• 401K contribution match up to 4%
• Company-paid parental leave
• Company Paid Life Insurance
• Stock Option Loan Program

This role requires candidates to adhere to our hybrid policy, 3 days a week in office with at least 1 day in our Cupertino office.