Senior Data Engineer — Build Scalable Pipelines & Insights

Chime; San Francisco (CA); Hybrid; USD 164,000 - 227,000; Full time

Benefits offered by this job

401(k) match

Wellness stipend

Generous vacation policy

Paid parental leave

Child and pet care assistance

Job summary

Chime is seeking a Data Engineer in San Francisco to design and develop scalable data pipelines and frameworks. The ideal candidate has 5+ years of experience with data transformation, pipeline deployment, and data governance. A competitive salary range between $164,000 to $227,000 is offered, along with a generous benefits package including a 401(k) match, wellness stipends, and ample parental leave. This role combines technical challenges with opportunities to collaborate across teams in the fintech industry.

Qualifications

• 5+ years 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.

Responsibilities

• Build, scale, and optimize ETL pipelines.
• Design data schemas for scalability.
• Ensure data quality and security.

Skills

Transforming data to governed datasets

Building and deploying data pipelines

Writing SQL

Experience with Spark

AWS Glue

EMR

Airflow

Python

Using MPP databases like Snowflake

Using AWS Redshift

Using Teradata

Job description

Chime is seeking a Data Engineer in San Francisco to design and develop scalable data pipelines and frameworks. The ideal candidate has 5+ years of experience with data transformation, pipeline deployment, and data governance. A competitive salary range between $164,000 to $227,000 is offered, along with a generous benefits package including a 401(k) match, wellness stipends, and ample parental leave. This role combines technical challenges with opportunities to collaborate across teams in the fintech industry.