Role OverviewAs a Senior Data Engineer, you will design and evolve data architectures that power intelligent products for global and Fortune 500 organizations. You'll build high-performance pipelines, optimize large-scale processing frameworks, and design data models that enable analytics, machine learning, and enterprise-grade decision-making.
What You Will Do
Develop and maintain ETL processes using Python, write efficient SQL queries, design and build large-scale data pipelines using modern cloud data platforms, and collaborate with stakeholders to understand data needs.
Why It Might Be a Fit
We are looking for engineers who excel at navigating complex data environments, think in terms of scalable systems, and take ownership of data reliability, quality, and performance across the entire lifecycle.
Requirements
- 5+ years of professional experience shipping high-quality, production-ready code
- Strong computer science foundations, including data structures & algorithms, OS, computer networks, databases, and object-oriented programming
- Experience with Python
- Experience in setting up data pipelines using relational SQL and NoSQL databases
- Strong experience with data processing and warehousing tools such as Databricks and Snowflake
- Experience with cloud platforms such as AWS, GCP, or Azure
- Experience with processing and orchestration, such as Spark or Airflow
- Proven success in manipulating, processing, and extracting value from large datasets
- Expertise with version control systems, such as Git
- Strong analytic skills related to working with unstructured datasets
- Excellent verbal and written communication skills in English
Benefits
- Ownership through equity participation
- Annual company retreat
- Education bonus for continuous learning
- Company-wide winter break
- Paid time off
- Optional in-person events and meetups
- Tailored career roadmaps
- High-performance culture
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