Data Engineer

Job Summary:A Data Engineer at TempWorks is responsible for delivering data-driven insights to innovate and drive business success. The Data Engineer plays a crucial role in designing, developing, and maintaining our data architecture to support our growing data needs. The Data Engineer collaborates closely with cross-functional teams including data scientists, analysts, and software engineers to ensure the reliability, scalability, and performance of our data systems.General Responsibilities:Designing and implementing scalable and efficient data pipelines to ingest, process, and transform data from various sources.Building and maintaining robust data warehousing solutions to support analytical and reporting requirements.Optimizing database performance and ensuring data quality and integrity.Developing and maintaining ETL processes to enable efficient data movement across systems.Implementing data security and privacy measures to ensure compliance with regulations and company policies.Evaluating and adopting new technologies and tools to enhance our data infrastructure and analytics capabilities.Performing other related duties as assigned.Required Skills and Abilities:Hands-on experience with SQL database design.A deep understanding of relational databases (e.g., MySQL, PostgreSQL).Experience with Azure data storage solutions such as Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage.Knowledge of data integration and analysis tools such as Azure Data Factory, Azure Databricks, Azure Synapse, and Power BI.Understanding of data modeling and schema design principles.Ability to work with large datasets and perform data analysis.Strong experience in common data warehouse modelling principles.Knowledge of Dev-Ops processes (including CI/CD).Experience in developing NO SQL solutions is desirable.Education and Experience:Bachelor's degree or higher in Computer Science, Engineering preferred.5+ years of SQL experience (No-SQL experience is a plus).5+ years of experience with schema design and dimensional data modeling.Experience designing, building, and maintaining data processing systems.Physical Requirements:Prolonged periods sitting and/or standing at desk and working on a computer.Must be able to lift to 10 pounds at times.