Blend360

AI services

SeniorDataEngineer

$1500–2500k ~AI est. Montevideo, Uruguay 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, ETL/ELT pipelines, Data modeling. Design ETL/ELT pipelines. Build ETL/ELT pipelines”

Industry & Context.

AI services

What They're Looking For.

Must Have

5+ years experience, Data Engineering experience, AWS Glue experience, Amazon S3 experience, Amazon Athena experience, AWS Step Functions experience, Advanced Python proficiency, Advanced PySpark proficiency, Scalable data pipeline architecture experience, CDC patterns implementation experience, Data modeling experience, Large-scale data processing experience, Technical initiatives leadership experience, Engineering teams mentoring experience, Agile environments experience, AI-assisted development workflows familiarity, Engineering productivity tools familiarity, Excellent written English, Excellent verbal English

Nice to Have

AWS certification, Databricks certification, Snowflake certification, AI learning paths knowledge, Udemy Business access, English lessons access

What You'll Do.

Design ETL/ELT pipelines

Build ETL/ELT pipelines

Maintain ETL/ELT pipelines

Develop data ingestion workflows

Optimize data ingestion workflows

Develop data transformation workflows

Optimize data transformation workflows

Develop data enrichment workflows

Optimize data enrichment workflows

Implement CDC patterns

Maintain CDC patterns

Build batch processing frameworks

Maintain batch processing frameworks

Build pipelines supporting customer data

Build pipelines supporting behavioral data

Build pipelines supporting engagement data

Build pipelines supporting third-party data

Integrate external vendor data sources

Manage complex data transformation logic

Deliver scalable data solutions

Mentor junior Data Engineers

Support junior Data Engineers

Mentor mid-level Data Engineers

Support mid-level Data Engineers

Ensure data reliability

Ensure data scalability

Ensure operational excellence

Participate in architecture discussions

Participate in code reviews

Participate in technical planning sessions

Leverage AI-assisted development tools

Leverage modern engineering best practices

How You'll Work.

Team & Collaboration

Cross-functional stakeholders; Architects; Analysts; Engineering teams

Communication Scope

Written communication; Verbal communication

Process & Methodology

Agile environments

Full Job Description

[Blend360](https://www.blend360.com?utm_source=chatgpt.com) is an AI services company helping organizations accelerate growth through data, analytics, and technology solutions. We partner with Fortune 500 companies to deliver impactful digital transformation initiatives across Data, AI, Cloud, and Customer Experience domains. At Blend, we foster a collaborative, people-first culture where innovation, continuous learning, and technical excellence are highly valued. We are seeking an experienced Senior Data Engineer to lead the design, development, and optimization of scalable cloud-based data pipelines within a modern AWS ecosystem. This role will partner closely with the Onshore Senior Data Architect and Data Engineering Manager to support enterprise data initiatives across multiple business domains. The ideal candidate combines strong hands-on engineering expertise with leadership capabilities, mentoring junior and mid-level engineers while driving best practices in pipeline architecture, data modeling, and AI-assisted software development. Key Responsibilities * Design, build, and maintain scalable ETL/ELT pipelines using AWS technologies * Develop and optimize data ingestion, transformation, and enrichment workflows * Implement and maintain CDC (Change Data Capture) patterns and batch processing frameworks * Build pipelines supporting customer, behavioral, engagement, and third-party data domains * Integrate external vendor data sources and manage complex data transformation logic * Collaborate with architects, analysts, and cross-functional stakeholders to deliver scalable data solutions * Mentor and support junior and mid-level Data Engineers * Ensure data quality, reliability, scalability, and operational excellence * Participate in architecture discussions, code reviews, and technical planning sessions * Leverage AI-assisted development tools and modern engineering best practices ## Qualifications * Strong experience in Data Engineering * Strong expertise wit

Free ATS check

Applying for this Senior Data Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on SmartRecruiters

  • SmartRecruiters often includes a video screening step — check camera and mic permissions.
  • Link your GitHub or portfolio directly in the profile section for technical roles.
  • Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.

ANONYMOUS · UNFILTERED

What do employees actually say about Blend360?

Real rants from real employees. Read before you apply.

Read Company Rants →