Senior Data Engineer

At Aircapture we’re creating technology to solve what we believe to be our lifetime’s most pressing challenge: the climate crisis. We supply commercial and industrial customers with clean CO₂ captured from our atmosphere to radically improve the environment, our economy, and our lives. We value building a team of people who represent diverse backgrounds—be it through education, gender, ethnicity, age, sexual orientation—to reach our goals. Thank you for considering us.

You will shape the data foundation that powers the technology of our lifetime, owning the pipelines, models, and analyses that turn operational data from our Direct Air Capture (DAC) systems into the insights our engineers and scientists rely upon. Partnering with cross-functional stakeholders, you will build and operate production data systems, defining what good looks like, making durable choices that hold up over time. If you are excited to have a major impact at a groundbreaking climate technology startup, we want to hear from you.

This role is onsite at our development and production facility in Berkeley, California.

Salary: $180,000-$220,000 per year

What You’ll Do Here

• Own and evolve Aircapture’s end-to-end data platform, using both Ignition and AWS
• Set technical direction for the data stack, evaluating tools, defining standards, and making durable architectural decisions
• Standardize and enforce engineering workflows across the data stack, such as version control, code review, CI/CD, testing, and documentation
• Maintain and support on-prem server systems connected to the data stack
• Partner closely with controls engineering on Ignition rollout 

Your Skills and Experience Include

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent hands-on industry experience, Master’s preferred
• 6+ years building and operating production data systems that are mission critical to novel technology
• Solid experience with AWS and services such as RDS, IAM, VPC, S3
• Strong SQL and Python expertise combined with solid engineering fundamentals across Git, CI/CD, and production workflows
• Thorough background in dbt across the full model lifecycle, plus orchestration tools like Airflow and Docker for production deployment
• Strong analytical orientation toward data interpretation, with the ability to navigate ambiguity and adjust architectural decisions accordingly
• Effective cross-functional collaborator and communicator; able to translate ambiguity into scoped work and push back when needed
• Self-directed, resourceful, and highly ownership-oriented from scoping through delivery
• Bonus: experience with industrial data systems (Ignition, SCADA, time-series), BI tools, or climate/energy domain

Aircapture strives to create a safe, inclusive, equitable, and diverse workplace. Every teammate adds to who we are, diversifying our ideas, experiences, and viewpoints and making us stronger. We hope you feel welcome here.