Blend360

Marketing And Advertising

SeniorDataEngineer

Buenos Aires, Buenos Aires, Argentina; Rosario, Buenos Aires, Argentina FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior Data Engineer at Blend360. Skills: Data Engineering, AWS, Python, PySpark, Snowflake, Data Pipelines, Data Modeling. drive the design and implementation of scalable, domain-oriented data solutions. lead a specific data area (Ingestion, Customer Data, Enrichment, or Marketing Signals)”

What You'll Achieve.

co-creating meaningful impact for its clients; unlocking value and fostering innovation for its clients; creating more fulfilling work and projects for our people and clients; drive the design and implementation of scalable, domain-oriented data solutions for a high-impact enterprise initiative; ensuring high-quality, reliable, and scalable data pipelines that power analytics and business-critical workflows; continuously improve data quality, performance, and usability

Industry & Context.

Marketing And Advertising
Problems you'll solve

Proactively identify risks, bottlenecks, and optimization opportunities

Eligibility Requirements

Travel opportunities to attend industry conferences and meet clients.

What They're Looking For.

Must Have

5+ years of experience in Data Engineering, 2+ years in a Lead or Senior capacity, experience with AWS ecosystem (Glue, S3, Athena, Step Functions), hands-on experience with Python and PySpark

Nice to Have

hands-on experience with Snowflake, Familiarity with AI-assisted development tools

What You'll Do.

drive the design and implementation of scalable

domain-oriented data solutions

lead a specific data area (Ingestion

or Marketing Signals)

ensuring high-quality

and scalable data pipelines

power analytics and business-critical workflows

combine hands-on technical expertise with team leadership

deliver robust data architectures

continuously improve data quality

Lead the design and development of scalable data pipelines on AWS (Glue

Build and optimize batch and streaming ingestion pipelines

including CDC-based architectures

Design and implement robust data models aligned with business and analytics needs

and performance across pipelines and datasets

Provide technical leadership and mentorship to other engineers

Drive best practices in data engineering

including modular design

Leverage AI-assisted development tools to improve productivity and code quality

Proactively identify risks

and optimization opportunities

How You'll Work.

Team & Collaboration

working closely with cross-functional teams and stakeholders; Collaborate with cross-functional teams to align technical solutions with business requirements

Process & Methodology

Experience leading initiatives or teams in data engineering environments

Full Job Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit [www.blend360.com](http://www.blend360.com/) We’re looking for a Senior Data Engineer to drive the design and implementation of scalable, domain-oriented data solutions for a high-impact enterprise initiative. This role is structured around domain ownership, where you will lead a specific data area (Ingestion, Customer Data, Enrichment, or Marketing Signals), ensuring high-quality, reliable, and scalable data pipelines that power analytics and business-critical workflows. You will combine hands-on technical expertise with team leadership, working closely with cross-functional teams and stakeholders to deliver robust data architectures and continuously improve data quality, performance, and usability. What will you be doing? * Lead the design and development of scalable data pipelines on AWS (Glue, S3, Athena, Step Functions) * Build and optimize batch and streaming ingestion pipelines , including CDC-based architectures * Design and implement robust 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 * Provide technical leadership and mentorship to other engineers * Drive best practices in data engineering , including modular design, reusability, and governance *

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