Senior Data Engineer

About this role

We are seeking a
Senior Data Engineer
to join our growing team and help shape the future of our modern data platform. In this role, you will be responsible for designing, building, and maintaining scalable data solutions using
Snowflake, Airflow, and AWS
. You’ll partner with business and technical stakeholders to deliver high-quality data products while ensuring reliability, quality, and governance.


This is a role for someone who thrives on
independence and ownership
. You’ll have the freedom to design and execute solutions end-to-end, while also mentoring teammates, driving best practices, and introducing new capabilities — including
leveraging AI to automate workflows, documentation, and data management
.


Responsibilities
What You’ll Do

• Design and develop curated data products and pipelines using Snowflake, Airflow, Python, and AWS.
• Own the full lifecycle of data workflows — from requirements to deployment — with minimal supervision.
• Implement and improve frameworks for data quality, lineage, and observability.
• Use AI-driven tools to automate repetitive tasks such as documentation, data lineage extraction, and anomaly detection.
• Maintain and enhance documentation of data pipelines and products, ensuring transparency and ease of use across teams.
• Partner with analysts, data scientists, and product teams to deliver data assets optimized for analytics and machine learning.
• Support production data operations, troubleshoot issues, and continuously optimize performance and cost.
• Mentor team members, share knowledge, and contribute to the overall direction of the data engineering practice.

Qualifications
Qualifications

• 5–8+ years of experience in data engineering or a related field.
• Strong hands-on experience with Snowflake, Airflow, and AWS .
• Proficiency in Python and SQL for building and maintaining data pipelines.
• Experience with modern data modeling, ETL/ELT processes, and data governance best pr...