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Senior Software Engineer, Data
Company details
Company: ChimeType de job: Remote
Country: United States
City: New York City
Experience: 4 years or more
Company website
Description of the offer
About the Role
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 the group is to build a scalable data platform that caters to the data plumbing needs of Chime. As a core member of the team, you will have the opportunity to build scalable data pipelines and frameworks. Additionally, you will have the unique opportunity to architect and build workflows that could potentially become de facto standards for the fintech industry.
The base salary offered for this role and level of experience will begin at $176,490 and up to $245,100. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
- Be a hands-on data engineer, building, scaling and optimizing ETL pipelines
- Design data warehouse schemas and scale data warehouse process data for 10x data growth
- Ownership of 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 make sure the pipeline meets data quality and availability requirements
- Work closely with partner teams, like Data Science, Analytics and DevOps
To thrive in this role, you have
- 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 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
- Understanding of key metrics for data pipelines and has built solutions to provide visibility to partner teams
Location of employment
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