Data Engineer Analyst

What 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.

Qualifications :

• Bachelors 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.

Additional Information :

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 well explore working together!

Remote Work :

Yes

Employment Type :

Full-time