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Data Engineer (Business Financing sphere)

Data Engineer Full-time Freelance Mexico

Job details

Not specified Salary
Mexico Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview Build and scale a Snowflake-centered data platform supporting business-financing operations. The initial delivery area is Treasury and Finance, with the platform expected to expand into additional domains over time. This is a hands-on production data engineering role involving pipeline development, workflow migration, data modeling, and quality controls.

Responsibilities - Build and maintain production data pipelines and reusable data products in Snowflake. - Develop transformation logic and data models with dbt, following governed engineering practices. - Convert existing Alteryx workflows into managed, production-ready platform components. - Create and maintain orchestration workflows using Dagster, Airflow, or a comparable tool. - Validate outputs, investigate data or business-logic discrepancies, and resolve transformation defects. - Implement data-quality checks and monitoring while collaborating with analytics engineering, BI, and data governance peers.

Requirements - At least four years of data engineering experience, including substantial hands-on work with Snowflake. - Practical experience building with dbt and transforming modeled data in a production environment. - Experience with Dagster, Airflow, or another workflow orchestration platform. - Strong SQL and analytical data-modeling skills. - Demonstrated ability to maintain reliable data pipelines and apply data-quality or monitoring practices. - English proficiency at B2 level or higher, plus comfort using AI-assisted development tools such as Cursor or similar software.

Nice to have - Snowflake certification. - Substantial availability for collaboration during US Central Time hours, particularly from 2:00 PM Central Time onward. - Experience with Fivetran, MetricFlow, or LLM-assisted engineering workflows.

Benefits and work setup - Remote and hybrid work options are available. - Technical and non-technical training, internal conferences, and expert-led learning events. - Mentorship and support from an experienced colleague. - Health insurance, sports and wellness activities, and a referral program. - Work-anniversary recognition and additional vacation days as employment tenure increases.

Skills detected in the listing

SQLSnowflakedbtApache AirflowData EngineeringLLM
Detected Sep 3, 2026
Last verified Sep 3, 2026

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