Data Engineer
Blend360What is this position about?
We are looking for a Data Engineer Analyst to contribute 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!
- 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.
- Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or equivalent field.
- Hands-on experience with the AWS ecosystem, including Glue, S3, Athena, and Step Functions (required).
- Solid proficiency in Python and PySpark for data pipeline development (required).
- Experience with Snowflake or similar cloud data warehouse platforms (plus).
- Understanding of data pipeline architecture and design patterns.
- Exposure to CDC (Change Data Capture) patterns and streaming ingestion.
- Experience with data modeling for analytics and reporting use cases.
- Familiarity with AI-assisted development tools (plus).
- Strong problem-solving skills and ability to work effectively in collaborative, agile environments.
What about languages?
English: Advanced (required for effective communication with global teams).
How much experience must I have?
3+ years of experience in Data Engineering or related disciplines, with hands-on work building and maintaining data pipelines on cloud platforms such as AWS.
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
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