Data Engineer

Summary

Join Puzzle, a revolutionary accounting software company, as a Data Engineer. You will design and maintain data pipelines and infrastructure, analyze data to support business goals, and collaborate with cross-functional teams. This role is ideal for a Data Engineer with foundational experience seeking growth opportunities and impactful projects. Work remotely from anywhere in the US or Canada. This is a chance to join a well-funded startup with an accomplished fintech founder.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
• 1-3 years of experience in data engineering or similar role
• Strong SQL skills and basic Python programming ability
• Experience with any ETL/ELT tool (Airflow, dbt, or similar)
• Basic understanding of cloud platforms (AWS, GCP, or Azure)
• Familiarity with data warehouses (Redshift, BigQuery, or Snowflake)
• Ability to write clear documentation and communicate technical concepts
• Eager to learn and grow your technical skills

Responsibilities

• Build and maintain ETL/ELT pipelines to move data between systems
• Help manage our data warehouse and ensure data quality
• Create and optimize SQL queries for reporting needs
• Assist in building dashboards and reports for business teams
• Work with multiple teams to understand their data needs
• Analyze data objectively and derive insights and interpretations for the business
• Document data processes and maintain data documentation
• Participate in code reviews and technical discussions

Preferred Qualifications

• Experience with big data tools (e.g., Spark, Hadoop) or distributed data systems
• Familiarity with version control systems like Git
• Understanding of data models needed for interpretation and predictions
• Knowledge of basic statistical techniques or A/B testing methodologies
• Exposure to data governance, security, and compliance best practices

Benefits

Remote work