Introduction:
Kaiizen, a venture-backed tech start-up based in New York, New York, is transforming the single-family residential (SFR) property market with its AI-driven sourcing platform. Founded by a team of successful entrepreneurs, Kaiizen's two applications – Kai, a conversational AI SMS interface that utilizes computer vision for real-time property assessments, and Zen, a comprehensive data platform for informed buying decisions – consistently source thousands of highly curated, off-market properties.
Role Overview:
As a Data Engineer at Kaiizen, you will play a critical role in designing, implementing, and maintaining the data infrastructure and systems that power our sourcing platform. You will collaborate closely with our software engineers to ensure our cloud-based infrastructure, databases, and third-party integrations are scalable, reliable, secure, and optimized for performance. Your expertise in AWS services, infrastructure as code, and database management will be essential in supporting our rapidly growing platform and user base.
We are a customer-obsessed team, operating in a highly ambitious and collaborative environment. We are building a culture that values creativity, experimentation, and accountability in search of the right solution. In this role, you will need to be comfortable embracing change, tackling complex challenges, and continuously iterating to deliver the most impactful solutions to our customers.
Key Responsibilities:
- Design, develop, and maintain data pipelines to extract, transform, and load (ETL/ELT) data from various sources into our data warehouse.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
- Optimize and maintain the performance of our data infrastructure, including databases, data warehouses, and data lakes.
- Ensure data quality, consistency, and security across all data sources and systems.
- Implement and maintain data integration solutions using APIs, ETL tools, and other technologies.
- Monitor data workflows and troubleshoot any issues that arise.
- Develop and maintain documentation for data pipelines, processes, and infrastructure.
- Stay updated with the latest industry trends and technologies to continuously improve our data engineering practices.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent work experience
- Proven experience as a Data Engineer or in a similar role.
- Strong proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, Oracle).
- Experience with ETL tools and frameworks (e.g., Dagster, Apache Airflow, dbt).
- Proficiency in the Python programming language.
- Familiarity with data analysis and exploration tools (Metabase, Tableau, Looker, etc.)
- Experience with AWS and its data warehousing technologies (S3, Redshift, RDS, DMS, Glue, Batch, etc.)
- Strong problem-solving skills and attention to detail.
- Strong communication skills and ability to work effectively in a team environment.
Preferred Skills:
- Competitive salary and benefits package.
- Flexible working hours and remote work options.
- Opportunity to work with a passionate team on exciting projects that have a global impact.
- Professional development opportunities and a supportive work environment.
What We Offer:
- Flexible working hours and remote work options.
- Opportunity to work with a passionate team on exciting projects that have a global impact.
- Professional development opportunities and a supportive work environment.
Kaiizen is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage everyone to apply for our available positions, even if you don't necessarily check every box on the job description.
How to Apply:
Interested candidates should submit a resume and a cover letter explaining why they are a good fit for the role to hello@kaiizen.com .
