Ensono is evolving into a software-first Managed Services Provider, aiming to leverage AI, automation, and human expertise to deliver 10x productivity for clients. The Data Engineer will play a pivotal role in designing pipelines and platforms that power predictive services, anomaly detection, and intelligent automation, transforming raw data into high-quality, AI/ML-ready datasets to fuel real-time insights and proactive operations, ultimately enabling a shift from manual, reactive support to a zero-touch, predictive model.
Requirements
- Strong SQL & Data Modeling
- Expertise in ELT/ETL pipeline development and orchestration.
- Python (must-have) plus at least one of Java, Scala, or C++.
- Hands-on experience with Snowflake or equivalent cloud data warehouse platforms.
- Proven experience extracting, transforming, and operationalizing data from ServiceNow and common monitoring platforms / other enterprise systems (Workday, Concur, etc).
- Familiarity with observability tooling and distributed data systems.
- Knowledge of enterprise data governance, compliance, and lineage.
Responsibilities
- Build, optimize, and maintain ELT/ETL pipelines that move, clean, and organize data from ServiceNow, mainframe, distributed, and cloud systems.
- Develop robust data extraction, transformation, and ingestion patterns tailored for operational data (incidents, alerts, changes, requests) to make it AI/ML-ready.
- Design scalable data models, storage frameworks, and integration layers in Snowflake and other modern platforms.
- Implement standards, monitoring, and validation frameworks to ensure clean, trustworthy data across all pipelines.
- Partner with Data Scientists, ML Engineers, and MLOps to deliver production-grade datasets powering predictive models, anomaly detection, and intelligent runbooks.
- Identify opportunities to streamline data workflows, reduce manual intervention, and lower costs while improving reliability.
- Work with Finance, Procurement, Cloud Ops, Mainframe Ops, and Service Operations teams to ensure data is aligned to high-value business outcomes.
Other
- Get Stuff Done – You’re biased toward execution and results, not endless design cycles.
- Business Impact Driven – You build pipelines that move the needle on uptime, cost reduction, and predictive operations.
- Collaborative Partner – You thrive in a cross-functional environment, sitting at the intersection of Ops, AI/ML, and business stakeholders.
- Continuous Learner – Always looking for ways to apply new tools and technologies to accelerate delivery.
- 4+ years of experience preferred.
