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* 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 usif 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 rolewe are looking for a senior data engineer to partner with an internal data team on a customer data platform initiative, building snowflake semantic structures, cleaning and transforming customer and behavioral datasets, and developing ai-readiness data models for a growing retail brand.you will write production-grade sql and python, build and maintain data models and semantic views in snowflake, collaborate directly with cross-functional business stakeholders to translate operational needs into technical specifications, and maintain rigorous technical documentation across all built assets.eastern time zone overlap preferred.what you will do- cdp data modeling (primary focus): partner with an internal data team member to clean, transform, and structure incoming customer, sales, and behavioral datasets inside snowflake to feed the customer data platform.
- ai readiness & semantic layer: assist in developing snowflake views, semantic models, and structured metadata to ground downstream ai agents and bi tools (sigma).
- ad-hoc operational data prep: work with cross-functional stakeholders to engineer datasets for key retail initiatives (e.g.,



store inventory/rfid data projects, customer analytics).
- write production-grade, performant sql queries and python scripts for data transformation, extraction, and automated data wrangling.
- partner directly with business stakeholders to translate ambiguous business requests into clean, structured data models.
- parse and flatten complex semi-structured data (json, nested payloads) landed from cloud sources.
- build and maintain data models and semantic views in snowflake.
- write thorough data dictionaries, model descriptions, and documentation for built assets.
- maintain clean code repositories and follow git workflows and data testing protocols.
- take on additional analytics engineering priorities as assigned, based on evolving business needs.must haves- 4+ years writing complex, optimized sql — window functions, and handling semi-structured/nested data formats.
- strong python : proficient writing clean, modular python scripts for data manipulation, automation, api/file processing, and data quality checks.
- cloud platform experience : hands-on experience working within at least one major cloud data ecosystem (aws, snowflake, gcp, or azure).
- strong stakeholder communication :



ability to collaborate directly with business partners, ask clarifying questions, and turn operational needs into technical specifications.
- rigorous documentation focus : a disciplined habit of maintaining thorough technical documentation and code comments.nice to haves- dbt (data build tool): experience writing, modularizing, and testing dbt models.
- snowflake & aws s3: direct experience querying snowflake data warehouses and manipulating staging data stored in s3 buckets.
- orchestration tools: familiarity with apache airflow or similar pipeline schedulers.
- retail / e-commerce knowledge: background in omni-channel retail, store operations, inventory management, or customer analytics.perks and benefits- growth without limits : build your skills through mentorship, internal techtalks, challenging projects, and a dedicated annual learning budget- competitive compensation : get recognition that reflects your skills and impact, with regular performance and compensation reviews- flexibility : work 100% remotely with adaptable hours that support focus, autonomy, and a healthy work rhythm- meaningful, modern projects : build impactful products using modern technologies alongside global teams and leading brands- collaborative culture : join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized- well-being & support : access local well-being programs and people-focused support tailored to your location#j-*-ljbffr

📌 Senior data engineer id82547 (México)
🏢 Agileengine
📍 México