Lead Scientific Data Engineer
Lead Scientific Data Engineer
Posted on :
13-07-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
13-07-2025
Job Description
Interested in working with a groundbreaking company thats focused on decarbonizing the atmosphere CarbonCapture Inc. develops and deploys direct air capture (DAC) machines that can be connected in large arrays to remove massive amounts of carbon dioxide from the atmosphere. With a patented modular open systems architecture our DAC platform allows for plug-and-play upgrades mass production unlimited scalability and rapid technology iterations.
We are looking for a motivated and passionate Lead Scientific Data Engineer to join our Systems and Analysis team. You will lead the continued development of our internal software infrastructure and collaborate with cross-functional groups to build data-driven solutions for a variety of technical challenges.
Our software and data infrastructure spans the full stack of our company: instrumentation modeling control logic data collection data processing data analysis simulation system modeling and data visualization. Our scientific Python ecosystem (pandas NumPy and SciPy) is central to our work. We develop on and for Linux containerize with Docker and use AWS for deployment data storage caching and web app hosting.
Your work will directly impact CarbonCaptures ability to operate and learn from our systems iterate and scale our technology and remove CO2to mitigate the effects of climate change.
Responsibilities
- Data Architecture: Own the vision design and implementation of our cloud-based architecture ensuring it is scalable reliable and secure.
- Data Pipelines: Lead the development of robust automated pipelines for collecting processing and analyzing high-volume time-series data from our DAC systems
- Technical Problem-Solving: Design and build novel solutions to data and analysis problems in system design control and analysis workflows. Contribute to the modeling and optimization of key system subprocesses.
- Data Tooling: Oversee the development and extension of data visualization and analysis tools (e.g. Dash Plotly)
- Strategic Collaboration: Partner with our team of process engineers material scientists and system analysts to identify needs document requirements and drive solutions.
Requirements
- 5 years of experience in data engineering software engineering or a related scientific computing role with demonstrated technical leadership.
- Experience designing building and managing cloud-based data infrastructure and services (e.g. AWS GCP Azure).
- Strong proficiency with Python Pandas and NumPy.
- Proficiency with containerization (Docker) and version control workflows (Git).
- Comfort and proficiency with the Linux command line.
Core Competencies
- Strategic Thinking: Ability to make high-level design choices and dictate technical standards considering long-term scalability and business impact
- Scientific Aptitude: Ability to grasp and apply scientific and engineering concepts particularly in thermodynamics test engineering and material science
- Leadership and Ownership: Ability to lead projects from conception to completion manage ones own projects and priorities and take full ownership of the data ecosystem.
- Communication: Contribute effectively to design discussions documentation and project tracking; collaborate with others to address potential roadblocks.
Desired Background
- Experience building scientific computation / data analysis tools particularly in startup or R&D environments.
- Experience with a broad range of AWS services (e.g. S3 Lambda Athena Glue EC2)
- Familiarity with or willingness to learn about industrial control systems and protocols (SCADA Ignition HMI PLC development)
- Proficiency in SQL and experience with various database technologies
- Experience or willingness to learn about deploying front-end applications for data visualization (e.g Dash)
$150000 - $170000 a year
The hiring range displayed above is specifically for those who will work in or reside in the location listed. In extending an offer CarbonCapture Inc. considers factors including but not limited to the candidates job-related skills experience knowledge and relevant education/training.
CarbonCapture Inc. is an equal opportunity employer making all employment decisions based on merit qualifications and abilities. We recruit hire train and promote without regard to race religious creed color national origin ancestry physical or mental disability medical condition genetic information marital status sex sexual orientation gender identity and expression age military and veteran status or any other protected characteristic under federal state or local laws.
Employment Type
Full-Time
Key Skills
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