Senior Data Engineer

Blend360

Senior Data Engineer designing and implementing scalable data solutions for enterprise initiative at AI services provider. Collaborating on data pipelines, models, and ensuring data quality across domains.

Posted 5/26/2026full-timeRemote • 🇦🇷 ArgentinaSeniorWebsite

Tech Stack

Tools & technologies

AWSPySparkPython

About the role

Key responsibilities & impact

Design and implementation of scalable, domain-oriented data solutions for a high-impact enterprise initiative.
Work within a specific data domain (Ingestion, Customer Data, Enrichment, or Marketing Signals).
Ensure high-quality, reliable data pipelines that power analytics and business-critical workflows.
Build and optimize batch and streaming ingestion pipelines, including CDC-based architectures.
Support the design and implementation of data models aligned with business and analytics needs.
Ensure data quality, reliability, and performance across pipelines and datasets.
Collaborate with cross-functional teams to align technical solutions with business requirements.
Apply best practices in data engineering, including modular design, reusability, and governance.
Leverage AI-assisted development tools to improve productivity and code quality.
Proactively identify risks, bottlenecks, and optimization opportunities across data workflows.

Requirements

What you’ll need

5+ years of experience in Data Engineering
2+ years in a Lead or Senior capacity
Strong experience with AWS ecosystem (Glue, S3, Athena, Step Functions) (Must)
Strong hands-on experience with Python and PySpark (Must)
Strong hands-on experience with Snowflake (Plus)
Deep understanding of data pipeline architecture and design patterns
Experience implementing and scaling CDC (Change Data Capture) patterns
Strong experience in data modeling for analytics and reporting
Experience leading initiatives or teams in data engineering environments
Familiarity with AI-assisted development tools (Plus)

Benefits

Comp & perks

📚 Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. Access to AI learning paths to stay up to date with the latest technologies. Study plans, courses, and additional certifications tailored to your role. Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. English lessons to support your professional communication.
🛫 Travel opportunities to attend industry conferences and meet clients.
👩‍🏫 Mentoring and Development: Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. Company-provided equipment.
⚖️ Flexible working options to help you strike the right balance. Other benefits may vary according to your location in LATAM.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringPythonPySparkdata modelingChange Data Capturedata pipeline architecturebatch ingestionstreaming ingestionmodular designreusability

Soft Skills

collaborationleadershipproblem-solvingrisk identificationoptimization