Overview

We are seeking a Staff Engineer to join our growing team. In this role, you will serve as a technical leader responsible for designing and implementing a robust, scalable data platform that enhances our scientific capabilities and has a measurable climate impact. You will establish best practices and set technical direction for your team, partnering closely with cross-functional stakeholders to ensure the platform adapts to meet the needs of a rapidly-evolving industry.

This is a high-impact, high-ownership role for an engineer who thrives on solving complex challenges and can operate with significant autonomy while influencing the broader technical roadmap.

Responsibilities

Lead the design, implementation, and expansion of the company's data platform, including ingestion pipelines, data warehouse/lakehouse architecture, transformation layers, and data serving infrastructure.
Define and champion engineering standards, best practices, and architectural patterns for data infrastructure across the organization.
Collaborate cross-functionally to understand data needs and translate them into scalable, reliable platform capabilities.
Drive technical decisions on tooling, frameworks, and vendor selection for the data stack (e.g., orchestration, storage, transformation, observability).
Mentor and level up engineers on the team, providing technical guidance and code review with a focus on quality and long-term maintainability.
Proactively identify scalability, reliability, and performance bottlenecks and lead efforts to address them.
Partner with stakeholders across engineering, data science, and business teams to ensure the platform supports current and future analytical and operational needs.
Contribute to organizational planning and hiring, helping grow the data engineering function.

Qualifications

Extensive experience in data engineering, platform engineering, or a related discipline, with a track record of building and scaling data infrastructure across multiple products or business domains.
Demonstrated experience designing and implementing end-to-end data platforms, including batch and/or streaming pipelines, data warehouse or lakehouse architectures, and transformation frameworks.
Deep expertise in at least one major cloud data ecosystem (AWS, GCP, or Azure) and familiarity with modern data stack tooling (e.g., dbt, Spark, Airflow/Dagster, Snowflake/BigQuery/Databricks, Kafka).
Strong software engineering fundamentals with proficiency in Python and/or Scala/Java for data systems.
Ability to operate at both the strategic architectural level and the hands on implementation level.
Strong communication skills with the ability to influence technical direction and align cross-functional stakeholders.

Nice to Have

Experience building data platforms in a greenfield or high-growth environment.
Familiarity with data mesh, data fabric, or federated data architecture patterns.
Experience with data governance, data cataloging, and metadata management frameworks.
Prior work in climate tech, sustainability, or a mission-driven organization.

Salary Range

184,000-225,000 a year

Benefits

Comprehensive nationwide medical, dental, and vision coverage.
Time off as needed: Flexible vacation policy and ten company-wide holidays, plus an annual winter break between Christmas and New Year's.
16 weeks of fully paid parental and family leave with no tenure requirement.
Remote-friendly work culture with annual company-wide retreats.
Reimbursement for your work-from-home setup and monthly work-from-home stipend.

*Please note that the benefits described apply to U.S.-based employees only. For our international employees, our benefits package varies by each country and its statutory requirements.

Equal Opportunity Employer

Carbon Direct is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. We adhere rigorously to our equal employment opportunity policies in connection with all employment decisions, including hiring, compensation, and promotion.

#J-18808-Ljbffr