Senior Data Engineer

Summary

Join Blend and contribute to a thriving tech team dedicated to managing and processing financial data. Working alongside skilled data scientists, you will play a crucial role in ensuring accurate and timely data imports to support key business decisions. This position involves importing financial data into Snowflake from various sources, transforming and standardizing data, performing data validation, and troubleshooting issues related to data ingestion and transformation. You will collaborate with stakeholders, optimize data workflows, and contribute to general data engineering tasks. The role requires at least 5 years of experience and strong SQL and Python skills. Remote work options are available for those in LATAM.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field
• Strong SQL skills with experience in data transformation and manipulation
• Proficiency in Python for data processing, automation, and pipeline development
• Experience with Snowflake and data ingestion best practices
• Familiarity with data extraction from multiple sources
• Ability to standardize and format data according to predefined specifications
• Basic understanding of financial concepts to perform high-level validation checks
• Experience in data engineering and pipeline development
• Strong problem-solving skills to troubleshoot and optimize data ingestion processes
• Excellent written and verbal English for clear and effective communication with the team
• At least 5+ years of experience in similar roles

Responsibilities

• Import data into Snowflake from various sources, including S3, BigQuery, xlsx, and SFTP, among others
• Transform and standardize data to match predefined formatting requirements
• Perform data validation to ensure financial data accuracy and completeness
• Identify and troubleshoot issues related to data ingestion and transformation
• Monitor and maintain data pipelines to ensure efficient and reliable processing
• Collaborate with stakeholders to understand data requirements and formatting needs
• Assist with general data engineering tasks when not working on high-priority projects
• Ensure timely delivery of critical data imports
• Optimize data workflows for improved efficiency and performance

Benefits

• Every day lunches! (headquarters)
• Vegetarian, vegan, gluten and sugar free options
• Gourmet meals every Friday with our on-site chef!
• Flexible working options to help you strike the right balance
• All the equipment you need to harness your talent (Macbook and accessories)
• Snacks and beverages available everyday (headquarters)
• After office events, football, tennis and game nights (headquarters)
• AWS Certifications (we are AWS Partners)
• Study plans, courses and other certifications
• English Lessons
• Learn from your teammates on our Tech Tuesdays!
• Mentoring and Development opportunities to shape your career path
• Anniversary and birthday gifts
• Great location and even greater teammates!