Data Engineer (Senior) ID43916

**Important:** *after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.* **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. **About us** 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. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! **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. Job Type: Full\-time