Senior Data Engineer

Sonatafy Technology - Mexico

Data Engineer designing, building, and maintaining scalable data pipelines at Sonatafy Technology. Collaborating on machine learning and data integration projects for a range of clients.

Posted 6/11/2026full-timeRemote • 🇲🇽 MexicoSeniorWebsite

Tech Stack

Tools & technologies

AzureETLPythonSOAPSparkSQL

About the role

Key responsibilities & impact

Data Engineering: Design, build, and maintain scalable data pipelines and ETL workflows.
Write advanced SQL queries and implement optimization techniques for performance.
Leverage Microsoft Azure & Fabric, Spark, and Python to automate complex workflows.
Lead engineering efforts on machine learning and artificial intelligence projects.
Integration Development: Develop and maintain robust web APIs (SOAP, REST) to support seamless data integration across internal and external systems.
Collaborate with external vendors to ensure the integrity and functionality of integrations.
Operational Support: Monitor and troubleshoot data processes, ensuring high availability and minimal downtime.
Proactively identify and resolve bottlenecks or inefficiencies in data pipelines and integrations.
Collaboration: Manage and prioritize work using the ticketing system while maintaining regular communication in stand-ups and stakeholder meetings.
Conduct code reviews to ensure adherence to best practices and high-quality deliverables.
Contribute to technical documentation for processes, tools, and workflows.
End User Support: Provide tier 3 support to end users of integrated systems such as reporting and accounting.
Partner with business owners to identify areas for improvement and gather requirements.
Leadership & Mentorship: Mentor other team members by sharing knowledge, conducting training sessions, and providing guidance on best practices.
Take ownership of complex projects, ensuring timely delivery and alignment with business objectives.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems /other relevant degree or equivalent professional experience
Expert knowledge of relevant languages, such as SQL, dbt, Python, and/or C#
Expert knowledge of at least one data pipeline orchestration tool, such as Azure Data Factory
Expert understanding of data modeling and ETL concepts
Experience with version control systems (e.g., Git) and best practices
Strong problem-solving skills and ability to work independently on complex tasks.

Benefits

Comp & perks

Competitive compensation
Remote-first lifestyle
Career growth opportunities across industries and technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythondbtC#ETLdata modelingdata pipeline orchestrationAzure Data FactorySparkweb APIs

Soft Skills

problem-solvingcollaborationleadershipmentorshipcommunicationtime managementindependenceprioritizationtrainingstakeholder engagement

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Information Systems