Description
The Data engineering team at Chime builds scalable data artifacts and insights to enable accurate, governed, data-driven decision-making. As a Senior Software Engineer, Data Engineering, you will build scalable data pipelines and frameworks, architect and build workflows, and own all aspects of data quality, governance, schema design, and security.
Responsibilities:
- Build, scale, and optimize ETL pipelines
- Design data schemas and scale them for 10x data growth
- Ensure data quality, governance, schema design, and security
- Develop scalable data architecture and standardized data models
- Own ETL workflows and ensure data quality and availability
- Collaborate with partner teams like Data Science, Analytics, and DevOps
Requirements:
- 5+ years of experience transforming data to governed and lucid datasets
- 5+ years of hands-on experience building and deploying production-quality data pipelines
- 5+ years of experience working with stakeholders to provide business insights
- 5+ years of experience writing SQL, Spark, AWS Glue, EMR, Airflow, Python
- 3+ years of hands-on experience using MPP database systems like Snowflake, AWS Redshift, or Teradata
- Track record of successful partnerships with Analytics, Data Science, and DevOps teams
Benefits:
- Competitive salary ($164,000-$227,000 USD)
- Bonus and equity opportunities
- Comprehensive health, financial, and wellbeing benefits
- Generous vacation policy and company-wide paid days off
- 1% of your time off to support local community organizations
- Annual wellness stipend
- Up to 22 weeks of paid parental leave