Senior Data Engineer
About The Position
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. We are seeking a Senior Data Engineer to contribute to our next level of growth and expansion. This position is about contributing to the design and implementation of scalable, domain-oriented data solutions for a high-impact enterprise initiative. You will work within a specific data domain — such as Ingestion, Customer Data, Enrichment, or Marketing Signals — ensuring high-quality, reliable data pipelines that power analytics and business-critical workflows. You may work 100% remotely from anywhere in Mexico!
Requirements
- 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)
- 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
Nice To Haves
- Strong hands-on experience with Snowflake (Plus)
- Familiarity with AI-assisted development tools (Plus)
Responsibilities
- Contribute to 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.
- Support the design and implementation of 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.
- Apply best practices in data engineering, including modular design, reusability, and governance.
- Leverage AI-assisted development tools to improve productivity and code quality.
- Proactively identify risks, bottlenecks, and optimization opportunities across data workflows.
Benefits
- Certifications in AWS, Databricks, and Snowflake
- Access to AI learning paths
- Study plans, courses, and additional certifications tailored to your role
- Access to Udemy Business
- English lessons
- Travel opportunities to attend industry conferences and meet clients
- Career development plans and mentorship programs
- Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones
- Company-provided equipment
- Flexible working options
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
