Data Engineer II
San Jose, California, United States
Innovate with purpose
At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters.
Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or working remotely, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.
At BILL, we listen, learn, and lead—fostering collaboration and a drive for continuous growth. We’re committed to building a diverse and inclusive workplace that values each person’s unique skills and experiences. Even if you don’t meet every requirement, we’d love to hear from you—you might be just what we’re looking for, whether in this role or another.
✨ Let’s give businesses more time for what matters.
Make your impact within a rapidly growing Fintech Company
Our team’s mission is to build a world-class data platform to fuel data products for BILL’s customers and to enable business critical initiatives for our data teams. As a member of our team you would be designing and scaling our platform, tackling big data challenges and working closely with other teams in their data initiatives. Come and join our team to take our company’s data architecture to the next level.
Responsibilities:
- Collaborate with architects, engineers, analysts and product owners to understand their data requirements and translate them into design
- Build scalable data solutions required to support data products, data science, machine learning and AI applications
- Own the quality, efficiency and automation of data pipelines
- Partner with different teams within the company to drive data driven projects
- Partner with core infrastructure and engineering teams to build, maintain and operate data platform frameworks in the Cloud
- Use agile software development processes to make iterative improvements to our cloud data platform
- Perform peer reviews of the code and contribute to the team’s wiki
We’d love to chat if you have:
- Bachelor’s degree in Computer Science, Engineering or related discipline
- 3+ years of professional experience in data and cloud platforms
- Demonstrated experience in the Agile environment with developing, testing and implementing solutions utilizing cloud big data tech stack
- Demonstrated experience with one or more big data frameworks such as Kafka, Flink, Kinesis, Spark, Airflow etc.
- Strong coding skills in one high-level programming language such as Python, Java or similar
- Strong experience in data frameworks such as SQL, PySpark and experience with Cloud services (e.g., AWS, GCP)
- Knowledge of one or more open table formats (Iceberg, Hudi, Delta Lake etc.) and experience with one or more databases such as Redshift, Snowflake, Dynamodb, Graph or OLAP dbs etc.
- Knowledge of CI/CD, Data Operations, infrastructure-as-code such as Terraform or similar
The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits.
San Jose pay range$110,200—$132,100 USDWhat’s in it for you?
Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well.
Here is a preview of some of the amazing benefits here at BILL:
- 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
- HSA & FSA accounts
- Life Insurance, Long & Short-term disability coverage
- Employee Assistance Program (EAP)
- 11+ Observed holidays and wellness days and flexible time off
- Employee Stock Purchase Program with employee discounts
- Wellness & Fitness initiatives
- Employee recognition and referral programs
- And much more
Don’t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.
BILL is an Equal Opportunity Employer that values diversity and inclusion. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture.
We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com.
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401(k) Plan Competitive benefits package Dental Dental Insurance Disability Insurance Employee Stock Purchase Program Flexible Spending Flexible Spending Account FSA Health savings account HSA Life Insurance Medical Medical Insurance Paid holidays Paid Time Off Vision Vision Insurance Vision plans
Tasks- Build data platform frameworks
- Collaborate with teams
- Design scalable data solutions
- Drive data projects
- Own data pipeline quality
- Perform code reviews
Agile AI Airflow AWS Big Data CI/CD Cloud platforms Data Architecture Data engineering Data frameworks Data Operations Data Pipelines DynamoDB Financial automation Fintech Flink GCP Java Kafka Kinesis OLAP DBs Open table formats PySpark Python Redshift Snowflake Spark SQL Terraform
Experience3 years
EducationBachelor's degree Computer Science Engineering Related discipline
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9