Senior Software Engineer (Data Engineering)

• 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

• 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, like Data Science, Analytics and DevOps

Benefits

• Physical: We believe in taking care of your physical health, so as a Chimer you’ll get medical, dental, and vision insurance, as well as benefits to support your physical activity, family planning, and all of your little Chimers

• Emotional: We know that staying healthy involves a lot more than doctor’s checkups. We partner with Modern Health to help you navigate your mental health, give monthly Take Care of Yourself Days, and want you to take time off when you need it

• Financial: We want Chimers to save and feel financially supported, so we offer savings plans with competitive matching, as well as access to financial planning and legal assistance so that you can find your financial peace of mind

• Social: We’ll celebrate your milestones together with travel stipends, swag, and high-fives and make sure you’re connected to fellow Chimers through our Chime Resource Groups (CRGs) and company events- Track record of successful partnerships with Analytics, Data Science and DevOps teams

• 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

• 3+ years of hands-on experience using any MPP database system like Snowflake, AWS Redshift or Teradata

• Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary

• Understanding of key metrics for data pipelines and has built solutions to provide visibility to partner teams

• 5+ years of experience writing SQL, Spark, AWS Glue, EMR, Airflow, Python

• 5+ years experience transforming data to governed and lucid datasets