Senior Data Engineer
At a glance
Senior Data Engineering role at Blend360. Montevideo · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build AWS data pipelines for a defined domain, keeping the architecture scalable and fit for purpose
- Create batch and streaming ingestion, including change-data-capture flows, then tune them for reliable operation
- Shape data models around business and analytics needs, and maintain dataset quality and performance
- Work with partner teams to turn business needs into technical solutions and apply reusable, governed engineering practices
- Spot workflow risks and bottlenecks, and use AI-assisted tools to improve development speed and code quality
What you bring
- At least five years in data engineering, with two or more years working at senior or lead level
- Strong AWS experience, especially with Glue, S3, Athena and Step Functions
- Hands-on Python and PySpark skills, plus deep knowledge of pipeline architecture and design patterns
- Experience building and scaling CDC approaches, and modeling data for analytics and reporting
- A track record of leading data engineering initiatives or teams
Who this fits
You’ll suit a senior engineer who can lead technical work and build dependable data pipelines across a defined data domain. The role is listed as onsite in Montevideo.
From the employer
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
We are seeking a Senior Data Engineer to contribute to our next level of growth and expansion.
What is this position about?
We are looking for a Senior Data Engineer 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.
What 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.
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