Job description

Company Overview

Founded in 2019, Brimstone developed a breakthrough process to decarbonize cement production, one of the leading drivers of climate change. Our team is now scaling up to refine our process further and to build our first production facilities. We’re assembling an all-star group of sharp, mission-driven, collaborative individuals who take pride in using their diverse skills to contribute to a better world.

If this sounds like you, join us in helping to solve the most urgent, important challenge facing the world today (and have a blast while doing it!).

Job Brief

We are seeking a Data Engineer to join our cross-functional software team and drive our data-centric initiatives. You'll build and maintain a robust data infrastructure that empowers our R&D, pilot, and business intelligence activities. Your role is crucial in unlocking the full potential of our data assets across all departments, creating leverage by making all teams more efficient.

Reporting to our Software Engineer, you'll initially focus on laboratory and pilot data, with a vision to integrate data from all aspects of our operations. This role is remote with an option to work from our Oakland, California office.

Key Focus Areas of the role may include:

Build and own robust end-to-end data pipelines, going from ingestion to end user consumption.

Manage required data infrastructure improvements as the engineering team scales up operations.

Design and implement error handling strategies and data quality checks.

Collaborate with other teams to identify opportunities to leverage data to improve efficiency.

Identify data gaps and work with stakeholders to resolve them.

Communicate data insights and usage strategies to other teams.

For this role, we’re looking for:

3+ years of relevant professional experience as a software or data engineer

Proficiency with Python, SQL, and Git

Experience building scalable software systems and robust data pipelines

Experience with relational databases, such as PostgreSQL

Demonstrated ability to maintain a clean codebase and relational database schema

Strong analytical and communication skills

Additional skills that are preferred but not required:

Experience with cloud platforms, CI/CD and infrastructure-as-code (AWS and Pulumi)

Familiarity with data orchestration platforms (Dagster)

Web development skills to work full-stack on our internal tools in collaboration with our Software Engineer (React)

Knowledge of experimental/chemical data, data visualization, and/or machine learning concepts

Prior experience supporting software or data engineering for a scientific company

Compensation, Benefits, and Perks

Salary range for this role is $145,000 - 170,000 per year

Company equity

401k retirement plan with 3% company contribution

Medical, dental, and vision insurance for employees and dependents

Mental health benefits

Generous paid time off policy

12-weeks of parental leave

A fun, diverse, and talented team focused on making the biggest impact possible on climate change

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Our Commitment to Diversity

Brimstone is an equal opportunity employer committed to diversity, equity, inclusion, and belonging in the workplace. We seek to build a unique team of individuals and create an environment where all backgrounds and experiences are respected and appreciated. We credit our success to the values that we uphold, and to the different perspectives each team member brings every day. We would never intentionally discriminate on the basis of race, color, ancestry, religion, national origin, sex, gender identity or expression, sexual orientation, age, marital status, disability status, pregnancy, veteran status, or any other status protected by federal or state law.

We strive to provide an inclusive candidate experience. If there are any reasonable accommodations that you may need during the interview process, please let us know.

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