Staff Engineer, Data Pipeline

This is a fully remote position, open to applicants in Czechia.

📋 Description

• Design and develop scalable data platforms tailored for enterprise applications.

• Establish and promote best practices in data governance, security, and reliability.

• Lead the assessment and integration of cutting-edge data technologies.

• Offer technical guidance and mentorship to the data engineering team.

• Collaborate with cross-functional teams to facilitate data-driven decision-making.

• Engineer high-performance delivery systems for customer-facing data products.

• Act as a governed data source for future Agentic AI initiatives.

• Employ software engineering principles, including CI/CD, modular design, and automated testing, to enhance data infrastructure.

• Optimize Snowflake and implement native data-tier security measures.

⛳️ Requirements

• Bachelor's degree in Computer Science, Data Engineering, or a related field.

• Over 7 years of experience in data engineering, demonstrating a successful track record of complex project delivery.

• Strong proficiency in Snowflake and DBT.

• Skilled in SQL.

• Advanced capabilities in Python.

• Experience with continuous delivery practices within Data Engineering.

• Solid understanding of Airflow.

• Familiarity with at least one major cloud infrastructure provider: AWS, GCP, or Azure.

• Comprehensive understanding of data engineering principles, including slowly changing dimensions, incremental ELT, and blue-green deployment.

• Capability to remain seated for extended periods, typically 7–8 hours daily.

• Proficient in operating computers and phone systems, typing, and using multiple software applications simultaneously.

🏝️ Benefits

• Reasonable accommodations for applicants and employees with disabilities.

• Commitment to equal-opportunity employment and inclusion initiatives.

• Access to employee resource groups (ERGs).