Senior Data Engineer

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.

Required Skills & Experience (7+ years):

Technical Expertise:

• Data Engineering & Backend Proficiency: 7+ years of experience as a Big Data Engineer or Backend Engineer, demonstrating a strong understanding of data systems design and development.
• Data Wrangling Wizard: Expertise in Python and SQL for efficient data manipulation and analysis.
• Stream Processing Master: Experience with batch and stream processing technologies like Apache Kafka and Spark to handle data pipelines of all sizes.
• Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval.
• Data Quality Champion: Experience implementing robust data quality assurance techniques and best practices to ensure data accuracy and reliability.
• Cloud Native: Hands-on experience utilizing cloud platforms (AWS, Azure, GCP) for data processing, storage, and orchestration, optimizing for performance and cost.

Collaboration & Communication:

• Team Player: Excellent communication and teamwork skills to collaborate effectively with cross-functional teams to translate data needs into actionable solutions.
• Data Storytelling: Ability to communicate complex data concepts and insights clearly to both technical and non-technical stakeholders.

Work with Passionate People:

• Friendly and Collaborative: Join a welcoming and supportive team where open communication is encouraged.

• Embrace Innovation: We value fresh ideas and are always exploring new technologies to stay ahead of the curve.

Invest in Your Future:

• Clear Career Paths: We offer opportunities for growth and development within a supportive environment.

• International Team: Collaborate with talented individuals from diverse backgrounds, expanding your global perspective.

Never Stop Learning:

• Continuous Improvement: We foster a culture of continuous learning and encourage each other to reach our full potential.

• Early Adopters: We're passionate about innovation and aim to be among the first to adopt Scala 3 when ready.

Embrace Flexibility:

• Work-Life Balance: Enjoy flexible working hours to create a schedule that works for you.
• Location-Independent: We value your skills, not your location. There are no residence or relocation requirements.