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
Job DescriptionWe’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.
QualificationsWhat are we looking for?
- 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)
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.
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.
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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.
