Hybrid Data Engineer Data Engineer
Twelve · United States (Remote) · nan, Stati Uniti d'America · Hybrid
About the job
Twelve is a new kind of chemical company built for the climate era. Our breakthrough technology eliminates emissions by turning CO2 into essential products. We are a team of scientists, engineers and problem solvers on a mission to fundamentally shift the way the world addresses climate change and lead the transition to a fossil free future with our carbon transformation technology.
Job Brief
At Twelve, Data Engineering is pivotal in building efficiencies and insights at scale that drive decisions to optimize end to end procurement, product manufacturing, sales, and distribution. Twelve is focused on transforming CO2 emissions into high value products and thereby making carbon reuse at scale economically viable. Our growing list of customers includes Alaska Airlines, Shopify, Procter & Gamble, US Air Force, NASA, and Mercedes. This role reports to the Senior Data Architect role and is part of the Information Technology team.
The core objectives of this role are to write robust data pipelines that collect, clean, and map data from various applications into the central data warehouse. This role partners with data architects, data analysts and engineers from various parts of the organization. This foundational role grows into solving unique use cases that will influence the direction of data engineering within Twelve.
What You Will Do
United States Wage Range: $108,000-$165,000
Please note that some pay bands may have wide ranges of compensation to accommodate candidate's diverse sets of skill levels.
We believe that the unique contributions of each individual is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
Want to work with us but don't see a current opening that fits your background? Submit a general application for Future Opportunities or email us at [email protected].
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Twelve is committed to the full inclusion of all qualified applicants, and complies with federal and state disability laws. As part of this commitment, Twelve will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed to participate in the job application or interview process, please contact Twelve's People Department by email at [email protected].
Job Brief
At Twelve, Data Engineering is pivotal in building efficiencies and insights at scale that drive decisions to optimize end to end procurement, product manufacturing, sales, and distribution. Twelve is focused on transforming CO2 emissions into high value products and thereby making carbon reuse at scale economically viable. Our growing list of customers includes Alaska Airlines, Shopify, Procter & Gamble, US Air Force, NASA, and Mercedes. This role reports to the Senior Data Architect role and is part of the Information Technology team.
The core objectives of this role are to write robust data pipelines that collect, clean, and map data from various applications into the central data warehouse. This role partners with data architects, data analysts and engineers from various parts of the organization. This foundational role grows into solving unique use cases that will influence the direction of data engineering within Twelve.
What You Will Do
- Develop and maintain data pipelines with some guidance.
- Utilize Python libraries such as Pandas and NumPy for data processing tasks.
- Assist in data mapping and transformation from various application REST endpoints.
- Build basic data aggregation tasks using SQL, Python, or provided scripts.
- Assist in resolving minor query performance issues and data quality concerns.
- Contribute to documentation efforts for data engineering tasks.
- Collaborate with senior team members to learn and grow in data engineering best practices
- Understanding of basic batch and stream data processing concepts.
- Familiarity with calling REST API endpoints for data retrieval.
- Basic proficiency in SQL for data querying and manipulation.
- Proficiency in Python and its data processing libraries (e.g., Pandas, NumPy).
- Exposure to basic data modeling concepts (e.g., relational databases).
- Eagerness to learn and develop skills in data engineering.
- Strong problem-solving abilities and attention to detail.
- Good communication skills and ability to work in a team environment.
- Medical, dental, and vision coverage
- Paid sick days and vacation
- Competitive salary and equity compensation commensurate with experience
- Diverse and inclusive work environment
United States Wage Range: $108,000-$165,000
Please note that some pay bands may have wide ranges of compensation to accommodate candidate's diverse sets of skill levels.
We believe that the unique contributions of each individual is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
Want to work with us but don't see a current opening that fits your background? Submit a general application for Future Opportunities or email us at [email protected].
—
Twelve is committed to the full inclusion of all qualified applicants, and complies with federal and state disability laws. As part of this commitment, Twelve will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed to participate in the job application or interview process, please contact Twelve's People Department by email at [email protected].
