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NEXTMOVEFDE careers · United States

Senior Software Engineer, Data Engineering

AI summary of the role

Senior Software Engineer on the Data Engineering team at Chime, responsible for building scalable data pipelines, data models, and ETL workflows that power data-driven decision-making across the company.

What you’ll do

  • Be a hands-on data engineer, building, scaling and optimizing ETL pipelines
  • Design data schemas and scale them for 10x data growth
  • Own 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

What you’ll bring

  • 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 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

Technologies

SQL · Spark · AWS Glue · EMR · Airflow · Python · Snowflake · AWS Redshift · Teradata · MPP database

About Chime

Mobile-first consumer fintech offering fee-light checking, savings, credit-building, and on-demand pay products to everyday Americans through partner banks.

Public · 1000–2000 people

Source and classification

Internal deployment & tooling · Evidence for this classification:

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 this group is to build scalable data artifacts and insights that enable accurate, governed, data-driven decision-making.. 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 $164,000.00 and go up to $227,000.00. 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
More from the job description

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 this group is to build scalable data artifacts and insights that enable accurate, governed, data-driven decision-making.. 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 $164,000.00 and go up to $227,000.00. 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 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, l [... source excerpt omitted ...] , 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 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 Understanding of key metrics for data pipelines and has built solutions to provide visibility to partner teams Engineers are requ [... source excerpt omitted ...] is under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com. To learn more about how Chime collects and uses your personal information during the application process, please see the Chim

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