Kunai
Senior Data Engineer
Remote role where the employee must remain based in a particular country.
Mexico only
Employer listed it 5 weeks ago · Added yesterday
Been open since 5 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Mexico only
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $145k–$210k a year, a typical range taken from 255 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Mexico. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Remote - Mexico, Mexico City"
What Nomaders makes of it
- Residency required in Mexico
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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
Requirements
- ·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.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Kunai, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $145k to $210k per year · You'll be taken to the employer's careers page.