[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries. They are seeking a Senior Data Engineer to design, develop, and support solutions for transporting, storing, and analyzing analytical data, while evolving their enterprise data strategy and capabilities.ResponsibilitiesCreate data architecture, pipelines, and analytical solutions to meet software and data science requirements for various PG-MX Healthcare ProductsIdentify, evaluate, select, and prove out new technologies and toolsetsCreate and execute Proofs of Concept and Proofs of TechnologyLead and direct the work of others in data dependent projectsCollaborate with software development, business teams, analysts, and data scientists to establish data storage, pipeline, and structure requirementsDesign, develop, and maintain ETL/ELT pipelines using Databricks (PySpark, Delta Lake, SQL)Implement Data Lakehouse architecture leveraging Databrick Unity Catalog, Delta Live Tables, and WorkflowsBuild and optimize data ingestion frameworks for structured and unstructured data from diverse sourcesIdentify and plan for data storage performance requirementsOptimize Databricks clusters, jobs, and queries for performance and cost efficiencyCollaborate with software development, business teams, and data scientists to create and execute implementationsIdentify impact of implementation on other applications and databasesLead and mentor data engineers on data projectsImplement CI/CD for data pipelines using Git, Databricks Repos, and DevOps toolsEnsure Data quality, reliability, security compliances across environmentsBuild and evolve Trusted Record systems to manage entities across the enterpriseDesign, implement, and evolve solutions around person identity managementDevelop and enforce data governance, lineage, and cataloging standardsIdentify areas of development and needProvide targeted training and exploration for team membersTrain and mentor data engineers on standards and best practicesSkillsMinimum of 5 years Data Engineering experience in an enterprise environmentBachelor's degree in technology or like field requiredHands on experience of Azure data technologies (Databricks, Data Factory, Stream Analytics, Data Lake Storage, Synapse), on-premises Microsoft tools (SQL DB and SSIS), and familiar with AWS data technologiesProficiency in Python, SQL and distributed data processing frameworks (Spark), and familiar with C#, PowerShell, and APIsSignificant experience with analytical solutions in relational databases such as MS SQL Server, Oracle, and DB2 as well as experience with NoSQL databases and solutions such as data lakes, document-oriented databases, and graph databasesStrong understanding of data modeling, schema design, and ETL best practicesExperience with data lineage, cataloging, and metadata management in Databricks and Unity CatalogSkill in data modeling and experience with tools like ER/Studio or ErwinFamiliarity with version control (Git) and DevOps/CI-CD practicesFamiliarity with SQL performance tuning and Spark optimization techniquesExcellent problem-solving and communication skillsBenefitsDiscretionary bonus or commission tied to achieved resultsCompetitive benefits packageCompany OverviewPress Ganey is the leading partner to healthcare providers and health plans improving the experiences of their patients, consumers, and workforce by marrying data with unparalleled technology, analytics, and expertise. It was founded in 1979, and is headquartered in Charlotte, North Carolina, USA, with a workforce of 1001-5000 employees. Its website is http://www.moreheadassociates.com.Company H1B SponsorshipPress Ganey has a track record of offering H1B sponsorships, with 1 in 2026, 9 in 2025, 6 in 2024, 8 in 2023, 9 in 2022, 2 in 2021. Please note that this does not guarantee sponsorship for this specific role.