Data Engineer

Join to apply for the Data Engineer (Senior) ID43916 role at AgileEngine.

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 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.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

IT Services and IT Consulting

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