Intrado is dedicated to saving lives and protecting communities through data-centric emergency services. They are seeking a Staff Data Engineer to build and maintain the data ecosystem that supports business analytics, ensuring timely insights for decision-making. The role requires designing infrastructure, managing data ingestion, and setting technical standards for the engineering team.
Responsibilities:
- Design and implement the core architecture for the company’s data ecosystem that will be used for business analytics
- Build robust Azure Data Factory pipelines to pull data from disparate "Source A" systems (Salesforce, ServiceNow, D365) to "Sink B" (Azure data lake)
- Set the technical standards for the Business Operations engineering team
- Ensure the raw and bronze data layers are available and up to date, minimizing downtime
Requirements:
- 10+ years of progressive experience in Data Engineering, with a specific focus on designing and building cloud infrastructure and high-volume data movement
- Deep expertise in architecting the Azure Data Stack (Azure Data Factory, Azure Data Lake Storage, Databricks) or comparable modern cloud data platforms and tooling
- Proven ability to build robust, scalable ELT/ETL pipelines using Azure Data Factory and Databricks or equivalent orchestration and distributed processing frameworks
- Expert-level proficiency in Python and Apache Spark for distributed data processing
- Experience implementing enterprise-grade data governance, and data lineage
- Strong experience implementing CI/CD pipelines (Azure DevOps or GitHub Actions) for data infrastructure
- Experience leveraging LLMs and AI-assisted development tools to accelerate data engineering workflows, improve code quality, and automate repetitive technical tasks
- Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a closely related technical discipline
- Master's or equivalent in Computer Science, Engineering, or Cloud/Data Systems
- Prior experience working in a technology company or SaaS environment