Remote opportunity at
ChimeSenior Software Engineer, Data Engineering
Chime, a financial technology company focused on providing helpful, free, and accessible banking services through partner banks, is seeking a Senior Software Engineer, Data Engineering for…
Career Tools
About This Role
Chime, a financial technology company focused on providing helpful, free, and accessible banking services through partner banks, is seeking a Senior Software Engineer, Data Engineering for a remote position. This role is built for a hands-on technical professional eager to design data architecture and construct scalable workflows that can set industry benchmarks. The successful candidate will maintain complete ownership of data security, quality, governance, and schema design while creating standardized…
Job Description
Chime, a financial technology company focused on providing helpful, free, and accessible banking services through partner banks, is seeking a Senior Software Engineer, Data Engineering for a remote position. This role is built for a hands-on technical professional eager to design data architecture and construct scalable workflows that can set industry benchmarks. The successful candidate will maintain complete ownership of data security, quality, governance, and schema design while creating standardized data models.
As part of this group, you will focus on scaling and optimizing ETL pipelines to accommodate rapid data growth and support self-serve insights utilizing artificial intelligence. This position suits an experienced data engineer who enjoys collaborating closely with analytics, DevOps, and data science colleagues, and who is willing to participate in an on-call rotation to handle out-of-hours incidents.
Chime operates as an Equal Opportunity Employer and values a diverse workforce. Full-time regular staff members receive a robust rewards package featuring comprehensive wellbeing, health, and financial plans, paid vacation, paid parental leave ranging from 12 to 22 weeks, family planning reimbursement, an annual wellness stipend, and a base salary range between $164,000 and $227,000 USD depending on location, skills, and qualifications.
Responsibilities
- Build, scale, and optimize ETL pipelines as a hands-on data engineer
- Design and scale database schemas to accommodate tenfold data growth
- Take ownership of data security, governance, quality, and schema design
- Develop scalable data architecture and standardized data models enabling AI-driven self-serve insights
- Manage ETL workflows to ensure pipeline availability and data quality standards are met
- Collaborate directly with DevOps, Data Science, and Analytics partner teams
- Participate in an on-call rotation, responding to incidents outside normal working hours when necessary
Requirements
- Have at least 5 years of experience in transforming data into lucid and governed datasets
- Bring 5 or more years of hands-on background building and deploying production-quality data pipelines
- Possess 5+ years of experience delivering business insights by working with stakeholders
- Demonstrate 5+ years of programming and tool experience writing Python and SQL while utilizing Spark, Airflow, AWS Glue, and EMR
- Accumulate 3 or more years of practical experience with MPP database systems such as Teradata, AWS Redshift, or Snowflake
- Show a proven track record of successful collaboration with DevOps, Data Science, and Analytics teams
- Demonstrate understanding of pipeline performance metrics and have built solutions providing visibility to partners
Core Skills
Benefits
- Base salary range of $164,000 to $227,000 USD
- Eligibility for bonuses and competitive equity
- Comprehensive financial, health, and wellbeing benefits
- Generous vacation policy and company-wide paid days off
- Up to 22 weeks of paid parental leave for birthing parents and 12 weeks for non-birthing parents
- Access to family planning reimbursement
- Annual wellness stipend
- Subsidized commuter benefits and backup child, elder, and pet care for eligible employees
- Allowance to use 1% of time off to support chosen local community organizations
Frequently Asked Questions
Is this position remote?
Yes, this role is listed with a remote status.
What is the salary range for this job?
The base salary offered ranges from $164,000 to $227,000 USD, with potential for bonuses, competitive equity, and benefits depending on location, experience, and skills.
What level of experience is required?
Applicants must have at least five years of experience transforming data into governed datasets, building production-quality pipelines, working with stakeholders for business insights, and using Python, SQL, Spark, Airflow, AWS Glue, and EMR, plus three years with MPP database systems.
Does the role involve being on-call?
Yes, engineers in this position are required to join an on-call rotation, which may include responding to incidents outside regular working hours.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.