Retour aux emplois
XX
Principal Data EngineerOak St. HealthUnited States
XX

Principal Data Engineer

Oak St. Health
  • US
    United States
  • US
    United States

À propos

Principal Data Engineer
We're building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Hartford, CT: Principal Data Engineer to develop large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs. Collaborate with data science team to transform data and integrate algorithms and models into automated processes. Build data marts and data models to support Data Science and other internal customers. Integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards. Analyze current information technology environments to identify and assess critical capabilities and recommend solutions. Build high-performance data processing frameworks leveraging cloud and/or on-premise data platform. Design and build large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows. Write ETL (Extract / Transform / Load) processes, design database systems, and develop tools for real-time and offline analytic processing. Transform data and integrate algorithms and models into automated processes. Analyze and synthesize data to meet the insights, reporting dashboard, and descriptive/predictive/prescriptive analytic requirements. Design conformed, aggregated, and semantic data layers, and manipulating large datasets to support insights and analytics using SQL, BTEQ, SAS, and similar tools, as applicable. Data management in building data layers in Sandbox or a production environment for reporting and analytical use cases. Work on "big data" platforms, including Hadoop (Azure or GCP preferred) and Spark, as applicable. Design data models and solutions for analytical and reporting use cases. Use knowledge in Hadoop architecture, HDFS commands, and experience as applicable, designing and optimizing queries to build data pipelines. Use strong programming skills in Python, Java, and/or any of the major languages to build robust data pipelines and dynamic systems. Experiment with available software tools and advise on new tools in order to determine optimal solution given the requirements dictated by the model/use case. Support modeling/diagramming and build design specifications for data objects and surrounding data processing logic. Collaborate with business solution strategists and support new data source onboarding process through data discovery, profiling, and mapping. Participate in proof of concepts to build the data layers and concepts to derive analytical insights. Leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources. Telecommuting available. Multiple positions. Requirements: Master's degree (or foreign equivalent) in Computer Science, Computer Information Systems, Data Science, Statistics, Mathematics, Analytics, or a related field and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following: Cloud migration technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); Messaging platform: Kafka; Containerization runtime platform; Solution Architecture, design, and end-to-end delivery of projects; Domain support for healthcare or retail organization; Build Proof of Value (PoV) and MVP using AI: Generative AI, AutoML, or Virtual AI Databases; Provide guidance on Large Language Model (LLM) selection and use of Minimum Viable Products (MVPs); Conduct Data Quality assessments, define Data Governance processes through Data Quality and MLOps; and Establish data architectures and best practices. Pay Range: $144200.00/year to $288400.00/year. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.