Data Engineer
TabaPay
Listing collected from TabaPay's career site. NextChapter is independent of TabaPay.
Palo Alto, CA · Posted January 14, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at TabaPay
More in California job market · All Data Engineer jobs (842) · Financial Services & Banking · Data & Analytics jobs
More roles at TabaPay
- Controller · Palo Alto, CA
- Content Marketing Lead
- Product Marketing Lead
- Director, Capital Planning · Palo Alto, CA
- Senior Manager, Consumer Compliance · Palo Alto, CA
- Chief Compliance Officer · Palo Alto, CA
Similar jobs
- Enterprise Data Architect · East West Bancorp · Pasadena, CA
- Staff Data Engineer / Full‑Stack Data Developer (Databricks / Python) · Qualcomm Inc/De · San Diego, CA
- Data Solutions, Staff Manager · Qualcomm Technologies · San Diego, CA
- Data Engineer, Staff · Qualcomm Inc/De · San Diego, CA
- Sr. Data Engineer · Altamed Health Services · Anaheim, CA
- Data Engineer, Marketing Analytics & AI · Advanced Micro Devices · Santa Clara, CA
Where Palo Alto, CA ranks
Where Palo Alto, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #3Best cities for entry-level jobs that want AI skills28% · of 100
- #3Best cities for entry-level jobs that want AI skills in the West Coast28% · of 54
- #3Best cities for AI-skill jobs37% · of 100
- #3Best cities for AI-skill jobs in the West Coast37% · of 71
- #4Best cities for data and analytics pay after cost of living$207k · of 28
- #4Best all-round cities for mid-career professionals83 / 100 · of 100
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 256 open data engineer listings that state pay, the middle half runs $112,000 to $157,500 and the median is $132,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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.