Blend360

Technology

SeniorDataEngineer

$140000–200000k ~AI est. Bogotá, Bogota, Colombia 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. Design ETL/ELT pipelines. Build ETL/ELT pipelines”

Industry & Context.

Technology

What They're Looking For.

Must Have

Experience in Data Engineering, AWS Glue experience, Amazon S3 experience, Amazon Athena experience, AWS Step Functions experience, Advanced Python proficiency, Advanced PySpark proficiency, Scalable data pipeline architecture design, CDC patterns implementation, Large-scale data processing experience, Agile environments experience, AI-assisted development workflows familiarity, Engineering productivity tools familiarity, Excellent written English, Excellent verbal English

Nice to Have

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

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 customer data pipelines

Build behavioral data pipelines

Build engagement data pipelines

Build third-party data pipelines

Integrate external vendor data

Manage complex data transformation

Collaborate with architects

Collaborate with analysts

Collaborate with stakeholders

Deliver scalable data solutions

Mentor junior engineers

Mentor mid-level engineers

Support junior engineers

Support mid-level engineers

Ensure data reliability

Ensure data scalability

Ensure operational excellence

Participate in architecture discussions

Participate in code reviews

Participate in technical planning

How You'll Work.

Team & Collaboration

Cross-functional stakeholders; Architecture discussions; Code reviews; Technical planning sessions

Communication Scope

Written English; Verbal English

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 wi

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