Senior Data Engineer

Do the best work of your career, helping businesses change the way they manage finances.

BILL is a leader in financial automation software for small and midsize businesses (SMBs). As a champion of SMBs, we are dedicated to automating the future of finance so businesses can flourish. Hundreds of thousands of businesses trust BILL solutions to manage financial workflows, including payables, receivables, and spend and expense management. With BILL, businesses are connected to a network of millions of members, so they can pay or get paid faster. Through our automated solutions, we help SMBs simplify and control their finances, so they can confidently manage their businesses, and succeed on their terms.

BILL is a trusted partner of leading U.S. financial institutions, accounting firms, and accounting software providers. We have operations in San Jose, CA, Draper, UT, Houston, TX and Sydney, AUS and are continuing to expand into other geographic locations. If you're looking for a place that helps you do the best work of your career, look no further than BILL.

Make your impact within a rapidly growing Fintech Company

Our team's mission is to build a world-class platform for data analytics and machine learning to fuel existing and new business critical initiatives. 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 deriving insights from data. Come and join our team to take our company's data architecture to the next level.

Responsibilities:

• Collaborate with architects, data scientists, analysts and product managers to understand their data requirements and translate them into design.
• Build scalable frameworks required to support data science, analytics, streaming pipelines.
• Own the data quality, efficiency and automation of data pipelines.
• Partner with different teams within the company to drive data driven business goals.

We'd love to chat if you have:

• Bachelor's degree in Computer Science, Engineering or related discipline.
• 5+ years of industry experience in big data technologies (eg Apache Spark, Kinesis, Kafka, Flink etc.).
• Proficiency in SQL and one high-level programming language ( Python, Scala, Java ) is required.
• Experience developing batch and Real Time data processing frameworks is required.
• Experience in Airflow, DBT, Redshift, Snowflake etc. is a plus.
• Experience in AWS is highly preferred.
• Experience in AWS CDK, Terraform or CFTs is a plus.

Let's talk about benefits

• 100% paid 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