Senior Data Engineer

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Xpansiv is unleashing the power of global markets to deliver a world worthy of future generations. We’re the largest market for commodities inclusive of vital ESG factors (Environmental, Social, and Governance). These Intelligent Commodities bring transparency to markets, empowering participants to value energy, carbon, and water to meet the challenges of an information-rich, resource-constrained world.


We’re the marketplace for an ever-expanding ecosystem of proven environmental commodities, like Renewable Energy Certificates (RECs), offsets, and differentiated fuels. We connect buyers and sellers of Intelligent Commodities in a global liquidity hub that accelerates the transition to a net-zero future.



Job Description

We are seeking a Senior Data Engineer to work within our organization to help architect, implement and maintain core data pipelines and integrations within the Xpansiv ecosystem. This person will be responsible for mentoring, sharing knowledge, and guiding the technical decisions of the team to prepare for long-term success, both as a product and as a team. As a key hire on a growing engineering team, the Senior Data Engineer will have a deep impact on engineering practices and culture. 


This role will involve participation in all aspects of the data lifecycle, from data modeling, implementation and maintenance to pipeline building (ETL) to providing analytic solutions. This role requires deep thinking about complex data problems -- ideal candidates are analytical/detail-oriented. The Senior Data Engineer will work with stakeholders to translate business needs into technical requirements. As a senior member, this person will help set best practices and mentor other engineers. 



Responsibilities


- Convert complex business requirements into working solutions that our customers love to use.

- Utilize an intense intellectual curiosity, both within technology and outside of technology, and a deep humility about how much there is to learn.

- Know when it is time to refactor, and when it's time to ship.

- Ensure challenging projects are led across the finish line.

- Write meaningful tests and understand the value of great logging, proper monitoring, and error tracking.

- Design and implement optimal data pipeline architectures across disparate data systems. 

- Manage numerous requests concurrently and be able to prioritize and deliver


Skills and Qualifications


- 5+ years experience in data engineering using modern tooling and libraries

- Experience designing scalable, efficient data pipeline architectures and models for optimal extraction, transformation, and loading of data from a wide variety of data sources

- Solid foundation of data modeling, warehousing, relational and non-relational databases

- Advanced working SQL knowledge and experience 

- Working knowledge of message queuing, stream processing, and highly scalable data stores

- Experience with building API solutions

- You see yourself as the get-stuff-done type and are excited to be part of different projects within the context of a growing startup

- You have experience building and deploying your code

- You take ownership of your code from inception to production and are proactive about shipping on time with quality.

- Excellent communication skills 

- Proven experience running apps in production and take software engineering practices seriously.

- You're empathetic, patient and love to help your teammates grow.


Preferred Qualifications


- Proficiency in Python, Java, or Scala is preferred (comparable programming languages will be considered)

- Experience with cloud services, Infrastructure-as-Code and CI/CD implementations

- Experience with data analysis, or business intelligence a plus


Here at Xpansiv, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in building trust and transparency in global efforts toward net-zero future. Xpansiv is committed to equal employment opportunity regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law.


Note to Recruiters: Xpansiv does not accept unsolicited resumes or referrals from placement agencies, staffing vendors or other external parties seeking recruiting fees without a signed formal agreement.

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Location

We're currently working with a hybrid workplace model and recently secured a beautiful new office space in Belltown. Some employees feel comfortable going in a few times per week.

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