Blend360 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.
Job DescriptionWe 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
- Strong experience in Data Engineering
- Strong expertise with AWS services, including:
- AWS Glue
- Amazon S3
- Amazon Athena
- AWS Step Functions
- Advanced proficiency in Python and PySpark
- Strong experience designing scalable data pipeline architectures
- Hands-on experience implementing CDC patterns
- Solid understanding of data modeling and large-scale data processing
- Experience leading technical initiatives and mentoring engineering teams
- Experience working within Agile environments
- Familiarity with AI-assisted development workflows and engineering productivity tools
What about languages?
- You will need excellent written and verbal English for clear and effective communication with the team
Our Perks and Benefits
📚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. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.
So what are the next steps?
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!
Skills Required
- Strong experience in Data Engineering
- Strong expertise with AWS services including AWS Glue, Amazon S3, Amazon Athena, AWS Step Functions
- Advanced proficiency in Python and PySpark
- Strong experience designing scalable data pipeline architectures
- Hands-on experience implementing CDC patterns
- Solid understanding of data modeling and large-scale data processing
- Experience leading technical initiatives and mentoring engineering teams
- Experience working within Agile environments
- Familiarity with AI-assisted development workflows and engineering productivity tools
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
