Data Engineer

PLEASE READ BEFORE APPLYING: This is a direct hire role on w2. No c2c, 3rd parties, or 1099. No sponsorship available. To be considered for this role, candidates must currently reside within a commutable distance to Jacksonville, FL and be open to working onsite 100% of the time. Client is not open to relocation candidates, they will not sponsor relo, nor will they interview any candidates outside of the Jacksonville area. What You'll Do: Data Warehouse Architecture Lead the design and implementation of scalable enterprise data warehouse solutions. Establish data architecture standards, best practices, and governance frameworks. Develop long-term strategies for data management, storage, and analytics. Data Modeling Design and maintain dimensional data models using star and snowflake schema methodologies. Develop conceptual, logical, and physical data models supporting reporting, analytics, and self-service BI. Ensure data structures align with business requirements and reporting needs. ETL / ELT Development Design, develop, and optimize data pipelines for ingesting, transforming, and loading data from multiple sources. Build scalable solutions supporting both batch and near real-time processing. Implement data cleansing, normalization, transformation, and enrichment processes. Design and support cloud-based data warehouse environments utilizing technologies such as: Snowflake AWS Redshift Google BigQuery Evaluate and implement cloud-native solutions to improve scalability and performance. Data Quality, Governance & Security Implement data governance processes including metadata management, lineage tracking, and data cataloging. Establish data quality monitoring and validation procedures. Partner with security teams to maintain compliance and enforce access controls. Performance Optimization Optimize database performance through indexing, partitioning, query tuning, and workload management. Troubleshoot and resolve performance bottlenecks across data environments. Monitor data platforms to ensure reliability and efficiency. Analytics, AI & Advanced Data Solutions Support advanced analytics initiatives and data science efforts. Assist with feature engineering and data preparation for machine learning models. Contribute to statistical modeling and data-driven decision-making initiatives. Partner with business stakeholders to translate requirements into scalable technical solutions. Mentor and guide other data professionals on architecture, modeling, and engineering best practices. Establish standards and documentation for enterprise data management. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field. 3+ years of experience in Data Engineering, Data Architecture, Analytics Engineering, or Data Warehouse Development. Strong SQL skills with the ability to write and optimize complex queries. Experience with Python and/or Scala. Experience with cloud data warehouse technologies such as Snowflake, AWS Redshift, Azure Synapse, or BigQuery. Strong understanding of data governance, data quality, metadata management, and security controls. Preferred Qualifications Experience with: Microsoft Fabric OneLake dbt Informatica Talend Fivetran Experience with NoSQL technologies such as MongoDB or Cassandra. Familiarity with Kafka, Pub/Sub, APIs, and event-driven architectures. Experience supporting machine learning and advanced analytics initiatives. Experience with BI platforms such as Power BI, Tableau, Looker, or similar tools. #J-18808-Ljbffr