Data Engineer

Exact compensation may vary based on several factors, including skills, experience, and education. • Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. The ideal candidate will be responsible for planning, coordinating, and implementing projects within the decided-upon budget, timeline, and scope. They will also effectively monitor and present project updates to relevant stakeholders, clients, or project team members. Duration: 6-month contract + potential extensions. Extensions can go up to 24 months Location: 3x a week on site, Tuesday-Thursday in Tampa, FL. Remote on Monday & Friday Rate: 40-50HR REQUIRED SKILLS AND EXPERIENCE - 3+ years of experience in a data engineering or analytics engineering role - Strong hands-on experience with SQL, including complex transformations, performance tuning, and data modeling - Strong Python scripting experience for data transformation projects - Experience supporting ETL pipelines in an on prem or hybrid data lake environment - Experience migrating or modernizing data platforms to Azure and/or Microsoft Fabric (Lakehouse, Pipelines, or related services) - Refactor and migrate data ingestion, transformation, and orchestration processes to Microsoft Fabric using modern cloud-native patterns. - Bachelor’s degree required NICE TO HAVE SKILLS AND EXPERIENCE PostgreSQL strongly preferred Microsoft Fabric experience The Azure Data Engineer will play a key role in modernizing the firm’s data platform and advancing its data and analytics capabilities. This is a transformational role directly aligned with our clients commitment to leveraging data, analytics, and technology to proactively address business challenges and unlock new opportunities. The Data Engineer will be responsible for supporting and enhancing existing ETL processes for the on- prem data lake (PostgreSQL) while leading the evolution and migration of these processes to Microsoft Fabric. This role will focus heavily on developing and maintaining SQL-based transformation logic to ensure high quality, trusted, and analytics ready data. Working closely with the Data Management team, the Data Engineer will help identify, remediate, and prevent data quality issues by encoding validation rules and controls directly into data pipelines. The role will also contribute to the evaluation and implementation of tools and frameworks supporting data governance, architecture, and data quality as the platform continues to evolve.