Highmark Health
Lead Data Engineer – Cloud Data Products & Analytic Enablement
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Job Description
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Highmark Health Job Description : ---------------------
JOB SUMMARY
***CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***
As a Lead Data Engineer – Cloud Data Products & Analytic Enablement, you will be instrumental in transforming diverse data sources into actionable intelligence, empowering critical business decisions across our organization and within our application ecosystem.
This pivotal role demands a strong foundation in data engineering principles, combined with a keen focus on analytical engineering to unlock the full potential of our data assets.
You will leverage your deep expertise in Google Cloud Platform (GCP) technologies, including Managed Airflow (Cloud Composer), BigQuery, Cloud Run Functions, DataFlow, DataProc, and DataPlex, to design, build, and optimize scalable data pipelines.
Your work will encompass the entire data lifecycle from ingestion and processing to modeling and orchestration, ensuring the highest standards of data quality, performance, and governance.
A core aspect of this role involves translating complex engineered data into readily consumable, business-ready insights. You will achieve this by developing curated datasets and robust analytical assets.
Success in this position requires exceptional proficiency in SQL and Python, coupled with the ability to strategically partner with diverse stakeholders, translating intricate business requirements into impactful, scalable data products.
ESSENTIAL RESPONSIBILITIES
- Lead the design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems
- Oversee development and maintain data models, databases, and data warehouses to support business intelligence and analytics needs
- Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solution
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