AgileEngine is an Inc. **** 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 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 ROLEAs 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 DOTurn raw device telemetry into actionable alerts with strong observability, data quality, and launch support baked inWork with cross‐functional teams to establish device observability and health monitoringDefine logging, metrics, and traces for device and pipeline health, and ship dashboards for latency, uptime, error rates, and crash signalsAdd anomaly detection over telemetry and logs and track health KPIs during launchesDevelop automated anomaly detection for logging anomalies in device telemetryBuild dashboards to track device health and ensure all data artifacts have proper quality, integrity,



and reliabilityParticipate in remote or on‐site go‐lives to monitor device health and triage issues in real time using dashboardsCollaborate with QA to ensure access to proper data and pipelines for testing and build automations as neededDevelop tooling to simulate various on‐device scenarios for launch‐readinessSupport on‐site testing and live device launches remotely by monitoring device health based on metrics and dashboardsTriage issues in real time by analyzing logs and identifying failure sources to enable rapid resolution and successful launchesMUST HAVES5–8+ years of experience in data engineering with Spark (Structured Streaming) or similar tools in productionProficiency in Python and strong SQL/pandas skillsSolid understanding of streaming fundamentalsExperience building alerting, monitoring, or observability systemsExperience turning manual checks into automated guardrailsComfortable supporting live device rollouts and post‐launch monitoringUpper‐intermediate English levelPERKS AND BENEFITSProfessional 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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📌 Data Engineer (Senior) Id43916 (Jalisco)
🏢 Agileengine
📍 Jalisco