Data Engineer

hace 2 semanas

Ciudad de México, Ciudad de México AgileEngine A tiempo completo
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

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, 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.

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