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Kunai
via Greenhouse
Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 24d ago
The date the source published, not the day we noticed it (2026-08-21). Last seen at its source just now.
Is it remote?
Remote - Mexico
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Mexico
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $4,100–6,938/mo
Middle 50% of 14 listings that do state pay — Engineering · all levels · Mexico · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 11d ago · last seen just now
The listing
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered.
We seek a Senior Data Engineer with strong expertise in SQL, Snowflake, dbt, ETL processes, as well as Python. Candidates will be responsible for designing, building, and maintaining scalable data pipelines and models, with an emphasis on quickly ramping up on existing and new data models to support analytics and business intelligence efforts.
Key Responsibilities:
- Design, develop, and optimize data pipelines and ETL workflows using SQL, Snowflake, dbt, and Python.
- Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and translate them into scalable data models.
- Rapidly learn and familiarize yourself with existing and new data models to maintain and enhance data infrastructure.
- Ensure data quality, consistency, and reliability across pipelines and data stores.
- Monitor, troubleshoot, and improve performance of data pipelines and query workloads
Required Qualifications:
- Extensive experience with SQL and modern data warehousing solutions, preferably Snowflake.
- Hands-on experience with dbt for data transformation and modeling.
- Strong programming skills in Python for data engineering tasks.
- Proven track record designing and managing ETL processes and scalable data pipelines.
- Ability to quickly understand and work with complex data models.
- Strong analytical, problem-solving, and communication skills.
Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning.
We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry.
Minimum Degree Required:
- Bachelor’s Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required