Data Engineer III - Hybrid - Riverview, FL
BlueGrace Logistics
Design, build, and maintain data pipelines and infrastructure supporting enterprise analytics and reporting. Work across the full data lifecycle from source systems through data lakes to consumption layers, with increasing responsibility and complexity based on level.
Level Distinctions
- Level 1 (0-2 years) : Supports existing pipelines, assists with data loads, performs data quality validation, and learns core technologies under guidance
- Level 2 (2-5 years) : Independently builds ETL / ELT workflows, optimizes existing pipelines, troubleshoots production issues, and contributes to architecture decisions
- Level 3 (5+ years) : Architects complex data solutions, leads major initiatives, mentors junior team members, and drives technical innovation
Key Responsibilities
Develop and maintain incremental data pipelines using SSIS, PySpark notebooks, and PythonImplement and optimize ETL / ELT processes for Azure SQL databases and data lake environmentsBuild meta-driven, scalable data ingestion frameworks supporting SCD Type 2 methodologyWrite and optimize T-SQL stored procedures, views, and dynamic SQL for data transformationsDevelop Python-based automation including Azure Functions, blob triggers, and API integrationsMaintain data quality, perform root cause analysis, and resolve data pipeline issuesSupport CI / CD processes including code reviews, Git version control, and Azure DevOps workflowsMonitor pipeline performance and implement optimization strategiesAssist with data modeling, indexing strategies, and schema evolutionCollaborate with business stakeholders and Analytics team to meet reporting requirementsParticipate in data platform modernization and improvement initiativesRequired Skills
Proficiency with SQL Server, T-SQL, and database concepts (indexing, query optimization)Experience with ETL / ELT tools and concepts (SSIS or similar preferred)Understanding of data warehousing, dimensional modeling, and SCD methodologiesFamiliarity with Azure cloud services (especially Azure SQL Database)Ability to troubleshoot data issues and perform data analysisStrong problem-solving skills and attention to detailExperience with version control (Git) and collaborative developmentPreferred Skills
Python programming for data engineering and automationPySpark and distributed data processingAzure Functions, Logic Apps, or similar serverless technologiesExperience with VisualCron, Azure Data Factory, or workflow orchestration toolsKnowledge of Tableau, Power BI, or data visualization platformsRedgate tools (SQL Prompt, Source Control, SQL Monitor)Understanding of CI / CD practices and Azure DevOpsModern data platform experience (lakehouse architectures, Delta Lake, etc.)Seniority Level
Associate
Employment Type
Full-time
Job Function
Information Technology
Industries
Transportation, Logistics, Supply Chain and Storage, Truck Transportation, and IT Services and IT Consulting
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