Data Engineer

Job Description

Requirements
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### Must have:

### - We require a bachelors degree, or foreign equivalent, in computer science, data science, or a related field, along with 36 months of experience as a Data Engineer, Software Developer, or in a related role. - We require at least 1 year of experience in the health insurance industry. - We require 3 years of experience architecting ETL pipelines with Apache Spark, AWS Glue, and Apache Airflow. - We require 3 years of experience designing cloud-native data architectures with Snowflake. - We require 3 years of experience developing data models using Oracle and MongoDB. - We require 3 years of experience implementing real-time data streaming and algorithms with Apache Kafka and Apache Spark.

Responsibilities:
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- We develop and deploy ELT and ETL processes across multiple sources, targets, and tools. - We collaborate with data consumers to enhance the processes that connect them to data. - We build and release self-service reporting assets that enable end users to explore data. - We design, create, and update data ingestion pipelines and workflows aligned with technical specifications. - We support incidents involving data warehouses, datasets, and data pipelines, including troubleshooting, maintenance, and operational support.
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Company:
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We are Priority Health, part of Corewell Health, based in Grand Rapids, Michigan, and this role allows telecommuting from anywhere in the U.S. This is a full-time day-shift position in our Customer Experience and Insights team within PH Managed Benefits. We offer a comprehensive benefits package focused on financial wellbeing, health, and work/life balance, plus on-demand pay through Payactiv, discounts on everyday services and products, optional identity theft protection and home/auto insurance, and traditional and Roth retirement options with service contribution and match savings. We are committed to an inclusive, collaborative culture, equal employment opportunity, and a safe, drug-free workplace, and we support accommodations throughout the hiring process and employment experience.
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