Senior Analytics Engineer – Data Platform

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design and manage data contracts, including tables for critical metrics, versioning in dbt, commits, tests, and cataloging.

• Take ownership of analytical modeling: layers, conventions, and dimensional models in dbt, along with documentation and CI.

• Strengthen the data platform through ingestion, orchestration, quality control, and observability.

• Enable self-service via a semantic layer and models in Omni and Hex.

• Create high-trust dashboards and reports for the board, external partners, and regulatory reporting.

• Collaborate embedded within a product/business team and contribute to cross-functional work on contracts, quality, and standards.

• Elevate team standards through code reviews, pairing, and technical mentoring.

• Facilitate Data Science and ML with reliable datasets, features, and pipelines for production, ensuring results are fed back into the product.

⛳️ Requirements

• Over 4 years of experience in data (analytics engineering, data engineering, or BI with strong modeling), with at least 2 years as a senior or technical lead.

• Advanced SQL skills and a solid understanding of analytical modeling: dimensional, incremental loads, idempotency, and history management.

• Experience in deploying data pipelines and transformations to production using tools like dbt or equivalent.

• Good practices in structure, quality, and testing, with reusable components, documentation, CI/CD, and job/workflow orchestration.

• Experience in building pipelines, automations, and data processes using Python or equivalent technologies.

• Familiarity with engineering best practices such as Git, PRs/code reviews, testing, and CI/CD.

• Experience with an orchestrator (Dagster, Airflow) and managed ingestion tools (Airbyte, Fivetran, or equivalent).

• Proficient in PostgreSQL and/or an analytical warehouse (Redshift, Snowflake, BigQuery), with performance and cost considerations in mind.

• Experience building semantic layers or BI models for self-service queries (Omni, Looker, Hex, Metabase, Power BI, or other BI tools).

• Ability to transform ambiguous questions into metric definitions that can withstand discussion and defend them with data.

• Experience mentoring other engineers and establishing enduring standards.

• Native Spanish speaker with professional English proficiency (documentation and tools in English).

• Familiarity with GCP or AWS and infrastructure as code (Terraform, Pulumi, or CDK).

• Knowledge of REST API, GraphQL, and Microservices architectures.

• Experience with clinical or health data and understanding of privacy and compliance requirements.

• Knowledge of OLAP architectures (MOLAP, ROLAP).

• Experience enabling Data Science / ML work: training datasets, reusable features, and predictions served to the product.

• Familiarity with a growing startup context: high ambiguity, low bureaucracy, and shifting priorities.

🏝️ Benefits

• Access to tools and resources for your professional growth, including courses, workshops, books, and more.

• Unlimited private medical assistance via video call (general practitioner, nutritionist, and psychologist) for you and 3 family members.

• Access to tools for your physical well-being (TotalPass).

• 9 additional personal leave days per year as mandated by law.

• Major Medical Expense Insurance.

• Necessary equipment to perform your job.

• Monthly support of $700 pesos in addition to your salary.

• One-time support of $2,500 after the probation period.