Senior Analytic Data Engineer - Cloud Data Products & Analytic Enablement

** Company :*
* Highmark Health

** Job Description :*
* ** JOB SUMMARY*
* As an Senior Analytic 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), Big Query, Cloud Run Functions, Data Flow, Data Proc, and Data Plex, 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*
* + Working closely with IT, architect and engineer solutions that provide views for the Analytic Data Warehouse. This would include the working with the proper teams, assisting with the design, building out the design, and providing upkeep for the solution.

+ Assemble, test, process, and maintain the Analytic Discovery Platform for the analytics organizations. This will include working to maintain pipelines with key analytic platforms throughout the organization.

+ Work with alternative analytic data systems to incorporate them into the operational data flow for the Analytics Teams. This may include products purchased by the organization that must be ingested or modeled/derived data maintained by analytic teams.

+ Independently lead functional efforts for assigned projects with limited supervision. This includes the guidance and education of Intermediate contributors within this team. Meet individually with customers for specific projects and attend with Intermediates for support.

+ Other duties as assigned.

** EDUCATION*
* ** Required*
* + Bachelor's Degree in Computer Systems Analysis, Data Processing, Healthcare Informatics, Management Information Systems, or related field

** Substitutions*
* + None

** Preferred*
* + Master's Degree in Management Information Systems

** EXPERIENCE*
* ** Required*
* + 3 - 5 years of Data Analytics experience

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** Preferred*
* + 7+ years of experience in designing, developing, and meticulously implementing robust data solutions, encompassing sophisticated structuring and transformation of data from diverse, complex source systems.

+ 7+ years of experience in producing high-quality, efficient, and maintainable data-related code that underpins critical stakeholder applications.

+ 7+ years of experience working across a multitude of technology systems, consistently designing innovative solutions or developing impactful data solutions specifically within the complex healthcare or insurance industry.

+ 7+ years of experience in strategically translating intricate business requirements, design mockups, prototypes, and user stories into precise technical designs and highly impactful, scalable data solutions.

+ 7+ years of experience with both SQL and Python, utilizing these languages for sophisticated data manipulation, advanced analytical insights, and the development of resilient data pipelines.

+ 5+ years of experience leveraging core GCP data services, including Big Query, Data Flow, Cloud Composer (Managed Airflow), Data Proc, and Cloud Run, optimizing their use for cloud-native data architectures.

+ 5+ years of experience with traditional on-premise database systems, including Oracle, Teradata, and DB2, bridging legacy and modern data landscapes.

+ 5+ years of experience…