Senior Data Engineer

Blue Orange Digital · Mexico, Panama · posted today ago

engineering python data machine-learning remote jobs in mexico

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About this role

Company overview:

Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.

We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

Position Overview

We're seeking a Senior Data Engineer to join a staff-augmentation team supporting a fast-moving SaaS data platform working through a significant post-acquisition data backlog. You'll combine strong technical expertise with ownership and sound engineering judgment — designing and building scalable, reliable pipelines on a modern Snowflake/dbt/Airflow stack while understanding the broader business objectives behind them. This is a high-visibility seat: you'll be evaluated directly against incumbent contractor performance in your first 60 days, with strong, self-directed delivery translating into a long-term dedicated placement.

Responsibilities

Own complex technical projects end-to-end with minimal direction, from design through production
Design, build, and maintain scalable ELT pipelines in dbt against a Snowflake warehouse, including query and warehouse performance tuning
Build and maintain orchestration workflows in Apache Airflow
Apply dimensional modeling, data warehousing, and analytics engineering best practices to support reliable downstream reporting
Prepare and model data for consumption in modern BI tools, primarily Sigma, with some exposure to Tableau for embedded, customer-facing reporting
Identify opportunities for automation, process improvement, and platform modernization
Mentor other engineers through code review and technical guidance, raising the technical bar of the broader team
Proactively flag risks and performance issues, and help shape the platform's forward-looking AI/ML data capabilities

Requirements

7+ years of professional data engineering experience, with a demonstrated track record of owning complex projects under minimal direction
Hands-on proficiency with Snowflake, including performance tuning and modern Snowflake capabilities — the core stack on this engagement
Strong dbt experience building and maintaining production ELT pipelines
Experience with Apache Airflow or a comparable orchestration platform
Strong Python skills
Solid grounding in dimensional modeling, data warehousing, and analytics engineering best practices
Comfort working in modern reporting/visualization tools such as Sigma, Tableau, or Power BI
Track record of designing scalable, maintainable, well-documented pipelines and models
Demonstrated mentorship experience — comfortable reviewing code and raising the technical bar for less senior engineers
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Preferred qualifications:

Snowflake Cortex experience and/or Snowflake AI certification — currently the single highest-leverage differentiator for this role; flag prominently on any candidate who has it
Sigma experience (not required — low barrier to entry for a strong engineer, but a plus)
Tableau experience, particularly for embedded/customer-facing reporting
Prior experience in a post-acquisition or carve-out data environment