Senior Data Engineer

Key Responsibilities

• Build and maintain high-quality data solutions and large-scale data pipelines that process vast amounts of data
• Optimize data flow and collection for cross-functional teams
• Design core data objects and models for the entire company
• Implement and maintain data quality checks and monitoring systems
• Develop client-facing reporting solutions
• Support data-driven decision-making through the creation of metrics datasets and dashboards
• Collaborate across teams to optimize and improve data quality while delivering user-centric experiences

Requirements

Technical skills

• 4+ years of professional experience in data engineering
• Programming proficiency in Python
• Experience with PostgreSQL or other relational databases
• Proven experience in data modeling and database design
• Experience with ETL design, implementation, and maintenance
• Knowledge of data warehousing solutions, particularly Snowflake
• Understanding of development workflows and best practices

Professional skills

• Strong problem-solving skills and attention to detail
• Strong communication and collaboration skills
• Ability to work independently and as part of a team
• Excellent organizational and time management skills
• Adaptability to learn and work with new technologies
• Passion for maintaining high data quality standards

Preferred Qualifications

• Experience with data quality management and monitoring tools
• Familiarity with AWS services
• Familiarity with data visualization techniques and tools
• Knowledge of machine learning pipelines and tools
• Experience with real-time data streaming platforms
• Familiarity with DBT, Airflow

Compensation

• Salary range: $240,000 - $300,000
• Equity in the company
• Medical, Dental and Vision premiums covered at 100%
• Fully paid parental leave
• Commuter benefits
• 401k benefits
• Fitness & home services stipend
• Unlimited vacation and paid holidays
• Relocation packages