SECTION I · THE BRIEF
Brief #63548Updated 04 SEP 2026PALO ALTO, CAGreenhouse
Employbl Company Profile

Data Engineer

Instant money-movement platform for fintechs and financial institutions, acquiring Transact Bank.

Location
Palo Alto, CA
Company size
—
Posted
2w ago
Via
Greenhouse
Section II · Full ProfileFree with an account
  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Hiring manager & team contextLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked

Free account · no card · 2 minutes

Data Engineer

TabaPay· Palo Alto, CAView company profile


Job title
Data Engineer
Job location
Palo Alto, CA
Job description

Who We Are

The world is moving towards instant digital payments and TabaPay is leading the way. We help thousands of Fintechs in the US and Canada instantly move money in and out of accounts and we are actively expanding into other countries. Our customers represent the hottest verticals in the financial service industry such as neobanks, challenger brokers, gaming and wallets. TabaPay is a highly profitable rocketship that processes billions of dollars each year. To learn more visit www.tabapay.com.

Who You Are

TabaPay is looking for an experienced and proactive Data Engineer to join the team. We are looking for someone who can take initiative and operate independently all while taking pride in keeping our systems stable and trusted. If you are a data engineer who builds durable data systems with long-term scalability in mind, we want to hear from you.  

  • Focus on solving problems using the simplest possible architecture. 
  • self-direct within a broad definition of goals and objectives.  
  • Prioritize the availability of accurate and reliable data. 
  • Develop processes and monitor the health of the data warehouse. 
  • Collaborate with technical and business teams to understand their needs and build solutions. 

Responsibilities 

  • Develop and manage scalable and reliable ETL/ELT processes for loading data into data warehouses. 
  • Monitor performance and troubleshoot issues. 
  • Manage and optimize our data warehouse for performance and reliability. 
  • Maintain data integrity and consistency across systems. 
  • Collaborate with internal teams to understand data needs and deliver solutions. 
  • Stay current with industry trends and technologies in data engineering. 
  • Continuously improve data processes and infrastructure for efficiency and scalability. 
  • Document data engineering processes, designs, and architectures. 

Qualifications 

  • Fast learner with strong work ethics and high-performance standards. 
  • Solve today’s problems and lay the foundation for the future. 
  • 4 years of experience in a fintech company or fast-growing startup. 
  • BS or advanced degree in Computer Science, Mathematics, Computer Engineering, or a related field, or equivalent practical experience. 
  • Proficient in writing production-quality code in Python. Go would be a plus. 
  • Strong debugging skills and the ability to diagnose and resolve issues effectively. 
  • Experience working with AWS. 

This role is located in Palo Alto, California - three times a week in office.  

The pay range for this position is $130,000; however, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. 

Benefits

TabaPay offers the following benefits:

  • 100% employer-paid health care insurance including medical, dental, vision, and life insurance (for employee only)
  • Employer 401K Matching
  • Generous and Flexible PTO

EEO Employer: TabaPay is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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TabaPay headquarters

Total raised

$155,000,000

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Funding rounds