Senior Data Engineer

MexicoRemotesenior

Data EngineerData

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Quick Summary

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 Summary

Extensive experience with SQL and modern data warehousing solutions, preferably Snowflake. Hands-on experience with dbt for data

Technical Tools

Data EngineerData

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.

Responsibilities

~1 min read

→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

Requirements

~1 min read

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.

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