About the RoleWe are seeking a Senior Software Engineer, Data Engineering at Chime's San Francisco, CA office.
The base salary offered for this role will begin at $220,000 and up to $240,000. 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- Design strategies for enterprise databases, data warehouse systems, and multidimensional networks.
- Set standards for database operations, programming, query processes, and security.
- Model, design, and construct large relational databases or data warehouses.
- Create and optimize data models for warehouse infrastructure and workflow.
- Integrate new systems with existing warehouse structure and refine system performance and functionality.
- Build a scalable data platform that caters to the data plumbing needs of Chime.
- Build scalable data pipelines and frameworks.
- 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 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.
- Transform data to governed and lucid datasets. Build and deploy production-quality data pipelines.
- Work with stakeholders to provide business insights.
- Some telecommuting is permitted.
To thrive in this role, you must have- Master's degree in Computer Science, Information/Systems Engineering or related field and 4 years of experience in the job offered or in a software/data engineer-related occupation.
- Position requires at least 4 years of experience in each of the following skills:
- Utilize knowledge of Distributed Computing and AWS Technologies such as AWS Glue, PySpark, and AWS EMR to create highly performant pipelines that can process the data at scale;
- Utilize knowledge of modern Data Engineering concepts to create data lake using AWS Cloud technologies such as AWS EC2, AWS S3, AWS Lambda, AWS Spectrum, and AWS Glue;
- Utilize knowledge of Extract Transform and Load (ETL) to process both structured and semi-structured data;
- Utilize knowledge of orchestration tools such as Airflow and shell scripting for automating pipelines.
- Position requires at least 1 year of experience in each of the following skills:
- Utilize knowledge of data warehousing concepts and MPP databases to create data warehouse for processing and storing large volumes of data;
- Utilize knowledge of Data Modeling concepts, Lucid Chart and Erwin Data Modeler to create data model for enterprise applications;
- Utilize knowledge of SQL for data extraction, manipulation and analysis across large datasets;
- Utilize knowledge of Python scripting and libraries including NumPy and Pandas to create and automate data Pipelines, for data extraction, manipulation, and data analysis;
- Utilize knowledge of Data Visualization tools such as AWS Quicksight and Tableau to create dashboards and generate insights;
- Utilize experience with working with stakeholders for providing business insights.
#LI-DNI
What we offer for our full-time, regular employees- Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you're coming in regularly or are part of our fully remote program, you'll stay engaged with your work and teammates.
- In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
- Competitive salary based on experience
- 401k match plus great medical, dental, vision, life, and disability benefits
- Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
- 1% of your time off to support local community organizations of your choice
- Annual wellness stipend to use towards eligible wellness related expenses
- Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
- Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
- In-person and virtual events to connect with your fellow Chimers-think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
- ♥ A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can't be done without a diverse team and inclusive environment. That's why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
