Staff Software Engineer

Key Responsibilities:

• Architect and build robust systems for managing large scale data processing
• Work closely with Data Scientists, Data Analytics Engineers, and Analysts
• Architect and build processes for monitoring data sanity and checking for data availability and reliability.
• Build connectors integrating APIs from external systems.
• Build data ingestion pipelines
• Build web scrapers
• Support batch and real-time data processing built on Airflow, Snowflake, dbt, and Spark
• Collaborate cross-functionally with other engineering teams, business stakeholders, and project management to ensure high-quality deliverables are met on time.
• Provide technical leadership to team, analyze tradeoffs of designs, and partner with team members to arrive at the most optimal solution.
• Mentor junior engineers and establish best engineering practices across the team by doing code reviews and ensuring accurate code documentation.

Required Qualifications:

• A minimum of a Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Software Development, or a related field, or equivalent alternative education, skills, and/or practical experience is required
• At least 8 years of experience in software engineering
• Solid understanding of system design, data structures, and algorithms
• Exceptional coding skills in a structured language (e.g. Python, Java, C#, C++, etc.)
• Solid SQL skills

Nice to have skills:

• Strong background in data warehouse principles, architecture, design and its implementation at large scale
• Experience with AWS cloud services
• Experience working with data orchestration tools such as Airflow and dbt