Data Engineer (Senior) ID43916

Job Description

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

PERKS AND BENEFITS

Requirements

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.