Data Engineer

About Us

Dono is on a mission to revolutionize homeownership registration and verification in the US real estate market. We believe that real estate transaction data should be accessible to everyone in an efficient and easy way to help drive smart real estate decisions. If you're keen on tackling tech puzzles and making a real impact, Dono is the right place for you

You can expect to work on

• Designing and implementing data pipelines, data warehousing, and data architecture to support our business needs. 
• Building and maintaining scrapers for diverse web sources, and constructing automated scrapers using AI models.
• Designing system architectures, evaluating tools, and open source projects to use within our architecture.
• Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.

Who are you?

We’re looking for a brilliant, curious, creative, and fun-loving engineer with a passion for data that’s ready to take on a huge opportunity to build Dono’s technology

You should join us if

• At least 3 years of experience in data infrastructure, big data, and data engineering.
• Proficiency in Python, with the ability to effectively use it for data manipulation, analysis, and pipeline development in a large-scale data environment.
• Strong architecture skills - the ability to design for scale, velocity, robustness, and readability of end-to-end solutions.
• Have a passion for working with data and are eager to design and build complex data pipelines.
• ETL Tools and Orchestration: Familiarity with ETL tools and frameworks, such as Apache Airflow.
• Proactive team player with a desire to impact our team, our product, and our customers.
• Experience with machine learning/data science - Advantage
• Experience working with LLMs - Advantage
• Hold a BSc in Computer Science or equivalent - Advantage
• Excellent spoken and written English