Senior Data Engineer

Kforce has a healthcare client in Anaheim, CA that is seeking a Senior Data Engineer. Responsibilities:

• Lead on all aspects of a modern and flexible SDLC approach, applied to data engineering, analytics and data science efforts
• Provide business guidance and steer efforts toward desired outcomes; Partner with internal stakeholders and external vendors to meet strategic data warehouse goals
• Research, evaluate and formally recommend third party software and technology package
• Responsible for new & existing integrated system & data flow enterprise architecture
• Set standards for data engineering functions; Design templates for the data management which are scalable, repeatable, and simple
• Defines and develops appropriate controls to monitor quality of the enterprise data warehouse process
• Preparation of technical specifications
• Stay up to date with established and industry emerging data technologies
• Provide proactive technical oversight and advice that foster re-use, scalability, stability, and operational efficiency of data/analytical solutions
• Minimum 7 years of experience in a data warehouse\data engineering role for a mid to large organization; Health Care industry experience highly desired
• Minimum 4 years of hands-on experience with ETL\Data Integration, BI, data mining and modeling
• Experience in implementing a data architecture with separation between storage and compute preferred
• Experience with data quality and ETL platform, such as Talend is preferred
• Experience using Azure DevOps for source control and CICD
• Experience working in both waterfall and Agile project managed teams
• Strong experience on database technologies, data warehouse, data validation, data quality, metadata management, and data governance
• Knowledge of and experienced in rolling out best practices in all facets of DW architecture, data flow strategy, data modeling, metadata and master data management
• Deep understanding of data architecture and ability to coordinate with the enterprise data architect is highly desired
• Expertise in SQL and RDBMS systems such as Microsoft SQL Server
• Proficient in 3rd normal form (TNF) DW Architecture, data flow best practices, data modeling, metadata, and master data management
• Strong TSQL and MS SQL development skills
• Needs to have highly advanced technical skills and overall knowledge of IT stack
• Clear communication skills
• Demonstrate ability to produce high quality technical documentation
• Able to self-learn, reverse engineer, and support existing processes
• Experience using Talend as an ETL tool is a plus
• Familiarity of Data Virtualization concept/architecture is highly desired