Senior Data Engineer (Snowflake)

Motum · Argentina · posted today ago

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engineering python data

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About this role

Remote | LatAm - WE ARE EXCLUSIVELY CONSIDERING APPLICATIONS FROM INDIVIDUALS

CURRENTLY RESIDING IN LATAM.

ONLY ENGLISH RESUMES WILL BE CONSIDERED

PLEASE NOTE THAT THIS ROLE REQUIRES ENGLISH PROFICIENCY (C1-C2 LEVEL)

ABOUT MOTUM

Motum connects experienced developers, engineers, and technical professionals with US companies building committed, long-term tech teams. Our roles are fully remote and full-time, designed for people who want real ownership, meaningful work, and the opportunity to grow inside US-based dynamic teams.

When you join Motum, you work full-time with one company, integrate directly into their team, and build a career with
long-term impact. Ready to join us?

ABOUT THE ROLE

We are looking for a detail-oriented and results-driven Senior Data Engineer to join our US-based client's data team. In this role, you'll build scalable pipelines, design Snowflake data warehouses and models, and prepare enterprise data for analytics and AI applications. If you love clean data models, enjoy squeezing performance and cost out of a warehouse, and have shipped production ELT at scale - we want to hear from you

RESPONSIBILITIES

Build scalable data pipelines and transformation workflows.
Design Snowflake data warehouses and data models.
Develop ETL/ELTprocesses.
Implement data quality and governance.
Optimize queries and warehouse costs.
Prepare enterprise data for analytics and AI applications.
Orchestrate and monitor pipelines with Airflow and dbt.
Collaborate with analytics and AI teams to deliver reliable, well-modeled data

REQUIRED QUALIFICATIONS

English proficiency (C1-C2 level).
Impeccable attention to detail and strong problem-solving skills.
Excellent communication and interpersonal skills.
Senior-level experience in data engineering.
Strong hands-on experience with Snowflake and advanced SQL. Proficiency in Python and dbt.
Experience orchestrating pipelines with Airflow.
Experience with AWS or Azure.
Solid understanding of ETL/ELTpatterns, data quality,and governance.