<p>Robert half has a brand new opening for a Data Engineer with a reputable client here in Tampa.</p><p>Full-time position, HYBRID schedule out of their Tampa office.</p><p>Compensation ranging $100-115K depending on experience</p><p>*Medical benefits are also 100% covered after onboarding period*</p><p><br></p><p>Data Engineer (BI/ETL) focused on building and optimizing ETL/ELT pipelines, migrating/cleaning data between internal, vendor, and legacy systems, and improving data quality. SQL is absolutely required, and this role leans heavily into backend data movement — not dashboarding.</p><p><br></p><p><strong>Top Skills Looking For:</strong></p><ul><li>Strong <strong>SQL </strong>(non negotiable)</li><li>Experience designing and maintaining <strong>ETL / ELT pipelines</strong> using frameworks such as <strong>Apache Airflow, DBT (Data Build Tool), or equivalent orchestration systems</strong>, with the ability to schedule, monitor, and recover complex multi-stage jobs.</li><li><strong>Experience moving data across multiple systems</strong></li></ul><p>Description:</p><p>Build and maintain business intelligence solutions to include law enforcement, detention, human resources, finance, and integration of data from agency criminal justice partners.</p><p>• Design and develop BI solutions.</p><p>• Gather user requirements, develop technical and functional requirements, produce reporting solutions, and document the design and development process, metadata, and business rules.</p><p>• Model, implement, and maintain databases and data marts to support BI reporting.</p><p>• Develop extract, transform, load (ETL) to support the loading of data into data marts.</p><p>• Monitor the data quality of existing databases and data marts and recommend governance and control around self-service BI/Analytics considering the evolution of the BI Industry’s best practices.</p><p>• Perform other related duties as required.</p>
We are looking for a skilled Data Engineer to join our team in Tampa, Florida. This is a Contract to permanent position, offering an excellent opportunity to contribute to innovative business intelligence solutions while advancing your career. The ideal candidate will have a strong background in data engineering, database design, and analytics, with the ability to solve complex problems and deliver high-quality results.<br><br>Responsibilities:<br>• Design and implement robust business intelligence solutions tailored to meet organizational needs.<br>• Collaborate with stakeholders to gather user requirements and translate them into technical and functional specifications.<br>• Create and maintain databases and data marts that support analytics and reporting activities.<br>• Develop and optimize ETL processes to efficiently load data into data marts.<br>• Monitor and ensure the accuracy, consistency, and quality of data within databases and reporting systems.<br>• Recommend and implement governance practices to improve self-service BI and analytics capabilities.<br>• Develop automated data validation checks to maintain data integrity and accuracy.<br>• Utilize dimensional modeling and star/snowflake schemas to design effective data warehouses.<br>• Troubleshoot and debug issues across application and database layers to ensure smooth operations.<br>• Perform exploratory data analysis to identify trends, anomalies, and areas for improvement.
<p>IMMEDIATE HIRE NEEDED. Interviews to begin the first week of February. </p><p><br></p><p>We are looking for a skilled Snowflake Marketing Data Engineer to join our team in Tampa, Florida in a hybrid in-office work schedule (2 to 3 days remote per week) preferably, remote candidates may be considered depending of the quality in match. </p><p><br></p><p>In this role, you will be responsible for designing, implementing, and maintaining data solutions that support critical business operations. Your expertise will play a key part in driving data-driven decisions and optimizing performance across various platforms.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain ETL processes to efficiently extract, transform, and load data from multiple sources.</p><p>• Analyze marketing data to uncover insights and support strategic decision-making.</p><p>• Create and manage dashboards and reports using Power BI to visualize data effectively.</p><p>• Integrate and leverage tools like Braze and Google Analytics to enhance data tracking and reporting capabilities.</p><p>• Collaborate with cross-functional teams to ensure the accuracy and reliability of data systems.</p><p>• Optimize database performance and troubleshoot any issues related to data pipelines.</p><p>• Document data workflows and provide training to stakeholders on best practices.</p><p>• Work with cloud-based platforms, such as Snowflake, to store and manage large datasets.</p><p>• Ensure data security and compliance with company policies and standards.</p>