Data Engineer
Description For Data Engineer
Chime, a pioneering fintech company, is seeking a Data Engineer to join their dynamic team. This role presents an exciting opportunity to shape the future of financial technology by building scalable data solutions that power Chime's mission to help everyone achieve financial progress.
The position offers a competitive salary range of $176,490 to $245,100, along with comprehensive benefits including equity, healthcare, and flexible work arrangements. As a Data Engineer at Chime, you'll be at the forefront of building and optimizing ETL pipelines, designing data warehouse schemas, and ensuring data quality and governance across the organization.
The ideal candidate brings 3+ years of experience in data engineering, with expertise in tools like Spark, AWS Glue, EMR, Airflow, and Python. You'll need strong experience with MPP database systems and a proven track record of collaborating with Analytics, Data Science, and DevOps teams.
What makes this role unique is the opportunity to work on projects that could become industry standards in fintech. You'll be joining a team of problem solvers and dreamers who are passionate about making financial services more accessible and transparent. The company culture emphasizes bold thinking, accountability, and diverse perspectives.
Chime offers an exceptional work environment with a thoughtful hybrid work policy, comprehensive benefits including up to 24 weeks of parental leave, wellness stipends, and various professional development opportunities. You'll be part of a mission-driven company that's helping millions unlock their financial potential while working with cutting-edge technology and data systems.
If you're passionate about data engineering and want to make a meaningful impact in the fintech industry while working with a team that values innovation, diversity, and work-life balance, this role at Chime could be your next career milestone.
Responsibilities For Data Engineer
- Build, scale and optimize ETL pipelines
- Design data warehouse schemas and scale data warehouse process data for 10x data growth
- Own all aspects of data - data quality, data governance, data and schema design, data quality and security
- Own schema registry and dependency chart for persistent data
- Own the ETL workflows and ensure pipeline meets data quality and availability requirements
- Work closely with partner teams, like Data Science, Analytics and DevOps
Requirements For Data Engineer
- 3+ years experience transforming data to governed and lucid datasets
- 3+ years of hands-on experience to build and deploy production-quality data pipelines
- 3+ years of experience working with stakeholders to provide business insights
- 3+ years of experience writing Spark, AWS Glue, EMR, Airflow, Python
- 1+ 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
- Understanding of key metrics for data pipelines
Benefits For Data Engineer
- Hybrid work policy with in-office days and team events
- Backup child, elder and pet care
- Subsidized commuter benefit
- 401k match
- Medical, dental, vision, life, and disability benefits
- Generous vacation policy
- Company-wide Chime Days
- 1% time off for community service
- Annual wellness stipend
- 24 weeks paid parental leave for birthing parents
- 12 weeks paid parental leave for non-birthing parents
- Access to Maven with $15k lifetime reimbursement for family planning
- In-person and virtual team events
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