Senior Staff Engineer - Data Engineer
Summary
Designs and builds scalable data pipelines and warehouses using Snowflake, dbt, Python, and AWS services to power analytics and automation.
Company Overview
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
We are seeking a highly skilled and motivated Data Engineer / Analytics Engineer to design, build, and maintain scalable data solutions. The ideal candidate will have strong expertise in SQL and Snowflake, hands‑on experience with modern data tooling, and a passion for automation, analytics, and collaboration.
Key Responsibilities
- Design, develop, and optimize complex SQL queries and data models in Snowflake
- Build and maintain ELT/ETL pipelines using best practices in data warehousing
- Develop Python scripts for automation, data processing, and API integrations
- Work with AWS services such as Glue, Lambda, S3, and CloudFormation to support data workflows
- Implement and manage data transformations using dbt, including testing and documentation
- Design and maintain data warehouse schemas (star, snowflake, and other dimensional models)
- Integrate and consume REST APIs, handling CRUD operations efficiently and securely
- Collaborate with analytics, product, and engineering teams to deliver reliable data solutions
- Use Git for version control and contribute to CI/CD pipelines for data and code deployments
- Monitor, troubleshoot, and optimize data pipelines for performance and reliability
Required Skills & Qualifications
- Strong proficiency in Advanced SQL, with extensive Snowflake experience
- Solid experience with Python for scripting, automation, and API integrations
- Hands‑on experience with AWS (Glue, Lambda, S3, CloudFormation, or similar services)
- Strong understanding of data warehousing concepts, including modeling, schema design, and ETL/ELT
- Practical experience using dbt in production environments
- Familiarity with Git and modern CI/CD practices
- Understanding of REST APIs and CRUD operations
- Strong analytical thinking, problem‑solving skills, and attention to detail
- Excellent communication skills and a collaborative mindset
Essential Qualifications
Must have Skills: Snowflake, ETL Concepts (Strong), DBT
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