Senior Data and Analytics Engineer ID90885

AgileEngine, LLC.; Monterrey; Presencial; MXN 1.049.000 - 1.282.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive pay

Exciting projects

Flex-time

Descripción de la vacante

AgileEngine, an Inc. 5000 company, seeks a Senior Data and Analytics Engineer in Monterrey to build data pipelines and analytics models for business intelligence.

You’ll convert complex business use cases into robust data models using Python, SQL, dbt, and Snowflake, joining internal contracts with platform data from YouTube, Roku, and more. You will collaborate with product managers and analysts to deliver consumption-ready data, leveraging modern tools and governance practices for scalable,

Formación

• 4+ years in data engineering or analytics engineering in production.
• Expert-level Python and SQL skills.
• Strong experience with Snowflake and modern cloud data platforms.
• Proven ability to work in a flexible, governance-light environment.
• Excellent communication with non-technical stakeholders.

Responsabilidades

• Build robust data pipelines and features for BI and decision making.
• Translate business use cases into data models using SQL/dbt.
• Develop scalable pipelines with Snowflake, dbt Cloud, GitHub, and Python.
• Collaborate with product managers and analysts to deliver consumption-ready data.

Conocimientos

Python

SQL

Snowflake

GitHub

VS Code

Herramientas

dbt Cloud

Snowflake Cortex

Descripción del empleo

Senior Data and Analytics Engineer ID90885

Full time | AgileEngine | Mexico

Posted On 10/01/2026

Job Information

City Monterrey

State/Province Nuevo León

64000

IT Services

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data and Analytics Engineer to build data pipelines and analytical models that support business intelligence and strategic decision-making in the media and entertainment industry.

WHAT YOU WILL DO

• Deliver robust data features and pipelines directly within project teams, focusing on fast-paced, business-facing verticals like distribution. Accommodate rapid reprioritization in a process-light environment without being siloed in a fixed-scope pool.
• Translate complex business use cases into robust data models using dbt and SQL. Tackle rigorous business logic, such as aggregating revenue and performance data from platforms like Tubi, Roku, YouTube, and Amazon channels, and joining it with internal contracts.
• Build and maintain scalable pipelines utilizing a technical stack that includes Snowflake cloud warehouse, dbt Cloud, GitHub, VS Code, and local Python. Transition project documentation from tribal knowledge into dbt catalogs.
• Leverage AI tools within the development workflow, including GitHub Copilot, Microsoft Copilot, Snowflake Cortex, and dbt wizard features. Collaborate with technical leadership to uplevel the adoption of these tools within specific governance setups.
• Partner effectively with product managers, data visualization leads, and strategic analysts to evaluate requests and deliver consumption-ready data. Collaborate directly with technical leadership on technical decisions and quality standards.

MUST HAVES

• 4+ years in data engineering or analytics engineering within a production environment.
• Expert-level Python and SQL skills.
• Strong proficiency with modern cloud data platforms, specifically Snowflake, as well as development tools like GitHub and VS Code.
• Proven ability to thrive in a process-light environment that operates more like a data science team than a highly tuned software engineering team.
• Strong communication skills to effectively collaborate with non-technical stakeholders and product managers during bi-weekly or monthly sprint planning.

NICE TO HAVES

• Extensive hands-on experience building transformation pipelines in dbt Cloud is strongly preferred.
• Media & entertainment industry experience.
• Hands-on experience with specific media data challenges, including title matching and metadata enrichment.
• Familiarity with AI-driven development tools, such as Snowflake Cortex and GitHub Copilot, and an understanding of the governance and grants required to manage them.

PERKS AND BENEFITS

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.