Senior Data Engineer

• Design, develop, and maintain secure, scalable ETL/ELT pipelines in Snowflake, processing structured and unstructured data from multiple sources
• Build and optimize data models and processing workflows to support BI, analytics, and reporting needs
• Build and maintain datasets, dataflows, and dashboards in Domo
• Develop monitoring and alerting solutions to ensure pipeline performance and data quality
• Integrate data from external APIs and third-party systems such as Salesforce
• Collaborate with Software Engineering, Architecture, Product, Analytics, and IT teams
• Translate business requirements into robust technical solutions
• Conduct code reviews and provide feedback to engineering team members
• Mentor other data engineers and contribute to onboarding efforts
• Participate in Agile ceremonies including standups, retrospectives, and planning

• 5+ years of experience developing and maintaining ELT/ETL systems
• Strong hands-on experience with Snowflake (must-have)
• Hands-on experience creating datasets, dataflows, and dashboards in Domo (must-have)
• Strong proficiency in SQL — advanced queries, data modeling, stored procedures, query optimization
• Proficiency in Python
• Experience with AWS cloud-native services (Kinesis, Lambda, S3, SQS, CDK)
• Experience building and maintaining data pipelines from diverse sources
• Strong analytical thinking, problem-solving, and debugging skills
• Strong written and verbal English communication skills
• Comfortable working in a fast-paced, Agile environment
• Nice to Have: Experience building integrations with SaaS APIs such as Salesforce
• Nice to Have: Snowflake Data Engineering Certification or AWS Data Analytics Certification
• Nice to Have: Experience with MongoDB or DynamoDB

• Remote work option
• Excellent work environment certified by Great Place To Work