R
Resilientcovia Lever
Senior Data Engineer - (Argentina or Uruguay)
REMOTEPosted 4d ago
Data EngineerSeniorFull-time
Not sure if you're a good fit?
Upload your resume and TixelJobs AI will compare it against Senior Data Engineer - (Argentina or Uruguay) at Resilientco. Get a match score, missing keywords, and improvement tips before you apply.
Free preview · Your resume stays private
About the Role
Our client is hiring a Senior Data Engineer to join a growing consulting team delivering modern data platforms and analytics solutions for multinational clients.
This is a highly hands-on role with strong technical ownership, combining architecture, implementation, client-facing consulting, and technical leadership.
What you'll do
Design and deliver end-to-end data solutions for enterprise clients.
Gather business requirements and translate them into scalable technical architectures.
Build and maintain modern Data Lake, Data Warehouse, and analytical data models.
Develop robust data pipelines for ingestion, transformation, and data serving.
Drive technical quality through best practices, documentation, testing, and version control.
Act as the technical point of contact for clients throughout project delivery.
Mentor and support other Data Engineers.
Participate in technical estimations, solution design, and project planning.
Continuously improve engineering standards and delivery processes.
Required experience
6+ years of experience as a Data Engineer, Analytics Engineer, BI Developer, or similar.
Strong experience with:
SQL
PySpark
Data Modeling
Azure Data Factory
Microsoft Fabric
Hands-on experience implementing cloud-based data platforms (Azure, AWS, or GCP).
Experience designing and building production-grade data solutions.
Advanced English (spoken and written).
Comfortable working directly with clients and multiple stakeholders.
Demonstrated technical leadership without requiring formal people management responsibilities.
Strong ownership, autonomy, and problem-solving mindset.
Nice to have
Experience with modern Microsoft data technologies, including:
Lakehouse architecture
Notebooks
Power BI
Synapse
Dataflows
Additional experience with:
Databricks
Snowflake
Parquet and modern columnar storage formats
Working model
Full-time (Monday–Friday)
Hybrid work model from Uruguay / Fully remote from Argentina
What you'll find
Opportunity to work on enterprise-scale data platforms.
International projects with global clients.
Collaborative engineering culture with strong technical ownership.
Continuous learning, certifications, and professional development.
Multicultural teams.
Healthy work-life balance.
Competitive compensation and benefits.
If you enjoy solving complex data challenges, working closely with clients, and leading technically while remaining hands-on, we'd love to hear from you.
This is a highly hands-on role with strong technical ownership, combining architecture, implementation, client-facing consulting, and technical leadership.
What you'll do
Design and deliver end-to-end data solutions for enterprise clients.
Gather business requirements and translate them into scalable technical architectures.
Build and maintain modern Data Lake, Data Warehouse, and analytical data models.
Develop robust data pipelines for ingestion, transformation, and data serving.
Drive technical quality through best practices, documentation, testing, and version control.
Act as the technical point of contact for clients throughout project delivery.
Mentor and support other Data Engineers.
Participate in technical estimations, solution design, and project planning.
Continuously improve engineering standards and delivery processes.
Required experience
6+ years of experience as a Data Engineer, Analytics Engineer, BI Developer, or similar.
Strong experience with:
SQL
PySpark
Data Modeling
Azure Data Factory
Microsoft Fabric
Hands-on experience implementing cloud-based data platforms (Azure, AWS, or GCP).
Experience designing and building production-grade data solutions.
Advanced English (spoken and written).
Comfortable working directly with clients and multiple stakeholders.
Demonstrated technical leadership without requiring formal people management responsibilities.
Strong ownership, autonomy, and problem-solving mindset.
Nice to have
Experience with modern Microsoft data technologies, including:
Lakehouse architecture
Notebooks
Power BI
Synapse
Dataflows
Additional experience with:
Databricks
Snowflake
Parquet and modern columnar storage formats
Working model
Full-time (Monday–Friday)
Hybrid work model from Uruguay / Fully remote from Argentina
What you'll find
Opportunity to work on enterprise-scale data platforms.
International projects with global clients.
Collaborative engineering culture with strong technical ownership.
Continuous learning, certifications, and professional development.
Multicultural teams.
Healthy work-life balance.
Competitive compensation and benefits.
If you enjoy solving complex data challenges, working closely with clients, and leading technically while remaining hands-on, we'd love to hear from you.
Ready to apply?
This job is active. Apply now to get in early.