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Senior Data Engineer

AvantStay

AvantStay

Data Science
Oregon, USA · Remote
Posted on Sunday, March 31, 2024

This is a full-time remote position! While we primarily operate in the Atlantic Time Zone, we value a diverse team and are flexible with location.

Who are we?

AvantStay is a growing, late-stage startup in the explosive $100+ billion dollars short-term rental (STR) industry, looking to provide world-class experiential accommodations for group travelers. The company has built a tech-enabled millennial hospitality brand to be the new standard for group-traveling experience, creating one-of-a-kind vacations experiences for people who are looking for more than the monotony of a hotel room and towards a much more personal home getaway.

Be the Data Hero We Need!

We're searching for a talented Data Engineer to join our growing team and play a key role in building the foundation for our data-driven future.

This role offers the opportunity to design, develop, and maintain scalable data systems that empower our analytics and fuel informed decision-making across the organization.

Here's what you'll do:

Data Pipelines & Warehousing:

  • Design, build, and maintain robust data pipelines for both batch and stream processing, ensuring efficient data movement throughout the system.
  • Develop and manage our ClickHouse-based data warehouse, optimizing data storage and retrieval for large datasets.

Data Analysis & Insights:

  • Leverage SQL and Python to analyze diverse datasets, extract valuable insights, and translate them into actionable recommendations.
  • Implement and maintain high data quality standards with robust data quality assurance practices.

Cloud & Collaboration:

  • Utilize cloud technologies effectively for data pipeline orchestration, processing, and storage, optimizing for both performance and cost-efficiency.
  • Collaborate closely with cross-functional teams to understand data needs and deliver solutions that align with business objectives.

Communication & Knowledge Sharing:

  • Communicate complex data concepts and insights clearly and concisely to both technical and non-technical stakeholders.