Assist in building and maintaining batch data pipelines
Support data ingestion from internal and external sources
Write and optimize SQL queries for data transformation and validation
Help develop and maintain workflows using orchestration tools like Apache Airflow
Support data modeling and transformation efforts using DBT
Monitor data pipelines and assist in troubleshooting issues
Contribute to data quality checks and validation processes
Work with structured and semi-structured datasets
Collaborate with analytics and business teams to support reporting needs
Document data processes, pipelines, and best practices
Learn and apply modern data platform tools and technologies

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
Basic knowledge of SQL and Python
Understanding of data structures and databases
Familiarity with ETL/ELT concepts and data pipelines
Strong problem-solving and analytical skills
Willingness to learn new tools and technologies
Good communication and collaboration skills

Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid
Continued investment in your professional development
Day 1 access to a robust health and wellness benefits package, including an annual wellness stipend.
401k with up to a 4% match and immediate vesting
Flexible and generous (FTO) time-off
Employee Stock Purchase Program

Data Engineer I

Key skills