Senior Software Engineer, Data Engineering (San Francisco)

Chime is a fintech company offering banking services and personal loans to millions of members. The Data engineering team has been created keeping in mind the importance and criticality of data for the overall success of Chime. The mission of this group is to build scalable data artifacts and insights that enable accurate, governed, data-driven decision-making.

Key responsibilities

• Be a hands-on data engineer, building, scaling and optimizing ETL pipelines
• Design data schemas and scale them data for 10x data growth
• Ownership of all aspects of data - data quality, data governance, schema design, data quality and security
• Develop scalable data architecture and standardized data models that enable self-serve data insights using AI
• Own the ETL workflows and make sure the pipeline meets data quality and availability requirements
• Work closely with partner teams, like Data Science, Analytics and DevOps

Requirements

• 5+ years experience transforming data to governed and lucid datasets
• 5+ years of hands-on experience to build and deploy 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 any MPP database system like Snowflake, AWS Redshift or Teradata
• Track record of successful partnerships with Analytics, Data Science and DevOps teams

Location and schedule

• Onsite in San Francisco, California
• 3+ years of hands-on experience using any MPP database system like Snowflake, AWS Redshift or Teradata

Salary and benefits

US base salary $164,000 to $227,000 a year. Chime also offers benefits; the full list is on the posting.

How to apply

Apply on the company's own site.