Level

Chime

Senior Software Engineer, Data Engineering

Chime is hiring a Senior Software Engineer, Data Engineering in San Francisco, United States. It pays $164k-$227k a year and Level rates it ; you can apply on Chime.

Level's read on this job

  • Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
  • Pay on this posting starts 9% higher than the typical data engineer posting on Level.
  • The posting mentions Spark, AWS Glue and Airflow among its tools and skills.
  • Level classes it as a senior role.
  • Chime has 72 other open roles on Level.

AI in this role

Build and optimize scalable data pipelines, data architecture, and ETL workflows to support self-serve data insights at Chime.

sparkaws-glueairflowpythonsnowflakeaws-redshiftteradatasql
data-engineeringetldata-governancedata-architecture

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.

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

#LI-Onsite #LI-WW1

Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

Wage Notice$164,000—$227,000 USD

A little about us

At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.

We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.

We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. 

We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.

Because if we don't—who will?

*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.

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.
  • 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
  • ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
  • 🏝 Generous vacation policy and 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 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
  • 👪 Access to family planning reimbursement
  • 💚 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.

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis 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 Chime Applicant Privacy Notice.

How we rate this

Senior Software Engineer, Data Engineering at Chime rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringETLData GovernanceData ArchitectureSparkAWS GlueAirflowPython

Also common in data engineer jobs at this level

Pay

This job starts at
$164k
Typical data engineer job
$150k

This posting starts 9% above the typical data engineer job. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where data governance was part of your work. What did you do?
  4. Tell me about a project where data architecture was part of your work. What did you do?
  5. Walk me through how you've used Spark in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Engineering, ETL, Data Governance, Data Architecture, and Spark. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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