Analytics Engineer designing and implementing data platforms at Pebl. Contributing to data ecosystems and improving engineering practices with AWS services.
Responsibilities
Implement and maintain data pipelines for analytics and operational workflows using SQL and Python
Follow best practices in dbt, data modeling, and ELT/ETL development
Design and develop data warehouse models, tables, and schemas to support scalable and maintainable analytics solutions
Build and sustain workflows with Airflow (Astronomer) for efficient data orchestration
Collaborate with teams to implement data solutions aligned with our needs
Support data governance practices and handle PII and sensitive data in cloud environments
Work with AWS services for infrastructure management and operations
Participate in code reviews, documentation, and knowledge sharing to strengthen team capabilities
Contribute to continuous improvement of data engineering practices
Requirements
3+ years of data engineering experience, with knowledge of AWS services and modern data stack components (Fivetran, dbt, Airflow, Snowflake, Monte Carlo, Atlan)
Hands-on experience with dbt and data modeling techniques
Proficiency in SQL and Python for data processing and pipeline development
Understanding of data governance and PII handling practices
Familiarity with maintaining and optimizing CI/CD pipelines
Strong focus on data quality
Ability to work collaboratively with engineering, analytics, and business teams
Interest in continuously expanding data engineering knowledge.
Benefits
Flexible Time Off – Take the time you need to recharge.
Parental Leave – Support for growing families.
Health and Dental Insurance – Where applicable, to cover you and your loved ones.
Retirement Savings + Employee Incentive Plan – Plan for the future while sharing our success.
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