Agile Engine 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 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
As a Data Engineer, you’ll play a key role in ensuring smooth and successful device launches through observability, test automation, and real‑time launch support. You’ll transform raw telemetry into actionable insights, build dashboards and anomaly detection systems, and automate data validation workflows.
This role offers the opportunity to work on cutting‑edge devices, collaborate cross‑functionally, and directly impact product reliability and customer experience.

WHAT YOU WILL DO

Turn raw device telemetry into actionable alerts with strong observability, data quality, and launch support baked in
Work with cross‑functional teams to establish device observability and health monitoring
Define logging, metrics, and traces for device and pipeline health, and ship dashboards for latency, uptime, error rates, and crash signals
Add anomaly detection over telemetry and logs and track health KPIs during launches
Develop automated anomaly detection for logging anomalies in device telemetry
Build dashboards to track device health and ensure all data artifacts have proper quality, integrity, and reliability




Participate in remote or on‑site go‑lives to monitor device health and triage issues in real time using dashboards
Collaborate with QA to ensure access to proper data and pipelines for testing and build automations as needed
Develop tooling to simulate various on‑device scenarios for launch‑readiness

Support on‑site testing and live device launches remotely by monitoring device health based on metrics and dashboards

Triage issues in real time by analyzing logs and identifying failure sources to enable rapid resolution and successful launches

MUST HAVES

5–8+ years of experience in data engineering with Spark (Structured Streaming) or similar tools in production
Proficiency in Python and strong SQL/pandas skills
Solid understanding of streaming fundamentals
Experience building alerting, monitoring, or observability systems
Experience turning manual checks into automated guardrails
Comfortable supporting live device rollouts and post‑launch monitoring

Upper‑intermediate English level

PERKS AND BENEFITS

Professional growth: Accelerate your professional journey with mentorship, Tech Talks, 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.

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📌 Data Engineer (Senior) (Guadalajara)
🏢 Agileengine
📍 Guadalajara