Role Overview
Aircapture is hiring a Senior Data Engineer. This is a full-time role in Berkeley. Part of Aircapture's Qa hiring, posted last week. The posted range is $180k to $220k. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
This role offers $180k-$220k. The median for Senior-level Qa roles is $125k-$170k (based on 167 listings). 36% above median.
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Job description
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 runs our technology by owning the pipelines, models, and analyses that turn operational data from our Direct Air Capture (DAC) systems into the insights that our engineers and scientists rely upon. Partnering with our test and engineering teams, you’ll turn the continuous stream of sensor, process, and test data from the physical equipment in the field and shop into actionable decisions. You have built and run production data systems in a hardware or physical product environment, and are comfortable with the realities of real-world sensor data, making durable architectural choices that hold up over time. If this sounds like you and 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
Please include a cover letter with your application–describe why you are interested in this role and Aircapture using your own words (not AI).
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 as part of the data infrastructure
- Partner closely with controls engineering on Ignition rollout
- Partner with test engineering to build the pipeline that moves test and operational telemetry, including sensor, DAQ, and historian data, into the dashboards and reports engineering relies on
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 a hardware or physical product, gained in an industry such as automotive, aerospace, robotics, industrial equipment, energy, or semiconductor manufacturing. Hands-on hardware/physical-product experience required
- 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
- Hands-on experience with industrial historian or DAQ platforms such as Ignition, ibaPDA, Keysight, National Instruments, or similar, as well as fluency working with time-series and sensor data
- Working physical intuition for the systems generating your data — thermal, fluid, electrical, or mechanical — sufficient to sanity-check sensor readings, spot anomalies, and communicate credibly with test and controls engineers
- 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: BI tooling experience, climate/energy domain background, or prior experience partnering directly with a test or reliability engineering function
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.
About Aircapture
Frequently Asked Questions
How do I apply for the Senior Data Engineer position at Aircapture?
Use the Apply button above to submit your application directly to Aircapture. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Data Engineer position at Aircapture located?
This position is based in Berkeley. Aircapture has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
How much does the Senior Data Engineer role at Aircapture pay?
Aircapture has posted a compensation range of $180k to $220k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Senior Data Engineer role at Aircapture posted?
This role was posted on July 9, 2026 (13 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Data Engineer role at Aircapture require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Aircapture lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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