4 results for Data Engineer in Tampa, FL

Data Engineer

Tampa, FL
onsite
Contract / Temporary to Hire
0 - 0 USD / Yearly
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. Responsibilities: • Design and implement robust business intelligence solutions tailored to meet organizational needs. • Collaborate with stakeholders to gather user requirements and translate them into technical and functional specifications. • Create and maintain databases and data marts that support analytics and reporting activities. • Develop and optimize ETL processes to efficiently load data into data marts. • Monitor and ensure the accuracy, consistency, and quality of data within databases and reporting systems. • Recommend and implement governance practices to improve self-service BI and analytics capabilities. • Develop automated data validation checks to maintain data integrity and accuracy. • Utilize dimensional modeling and star/snowflake schemas to design effective data warehouses. • Troubleshoot and debug issues across application and database layers to ensure smooth operations. • Perform exploratory data analysis to identify trends, anomalies, and areas for improvement.
2026-03-04T00:00:00Z

Data Engineer

Tampa, FL
onsite
Permanent
100000 - 115000 USD / Yearly
Robert half has a brand new opening for a Data Engineer with a reputable client here in Tampa.Full-time position, HYBRID schedule out of their Tampa office.Compensation ranging $100-115K depending on experience*Medical benefits are also 100% covered after onboarding period* 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. Top Skills Looking For:<ul><li>Strong SQL (non negotiable)</li><li>Experience designing and maintaining ETL / ELT pipelines using frameworks such as Apache Airflow, DBT (Data Build Tool), or equivalent orchestration systems, with the ability to schedule, monitor, and recover complex multi-stage jobs.</li><li>Experience moving data across multiple systems</li></ul>Description:Build and maintain business intelligence solutions to include law enforcement, detention, human resources, finance, and integration of data from agency criminal justice partners.• Design and develop BI solutions.• Gather user requirements, develop technical and functional requirements, produce reporting solutions, and document the design and development process, metadata, and business rules.• Model, implement, and maintain databases and data marts to support BI reporting.• Develop extract, transform, load (ETL) to support the loading of data into data marts.• 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.• Perform other related duties as required.
2026-03-04T00:00:00Z

Artificial Intelligence (AI) Engineer

Tampa, FL
onsite
Contract / Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This role offers the opportunity to design and implement innovative AI solutions while collaborating with cross-functional teams to drive impactful results. As a Contract to permanent position, this role provides a pathway to long-term growth and development within our organization. Responsibilities: • Build, train, and refine machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras. • Integrate AI-driven solutions into existing on-premises applications to enhance functionality and performance. • Explore and experiment with large language models (LLMs) and agent-based coding tools to optimize internal automation and analytics workflows. • Process, engineer, and evaluate data from diverse internal sources, including structured and unstructured datasets. • Collaborate with teams across departments to ensure compliance with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) standards. • Partner with analysts, investigators, and IT staff to identify opportunities where AI can provide operational improvements. • Participate in coding reviews and testing processes to ensure high-quality deliverables. • Stay updated on emerging AI technologies and prototype new tools while adhering to data governance standards. • Contribute to the continuous improvement of AI systems and processes by identifying areas for innovation and optimization.
2026-03-04T00:00:00Z

MS Excel Mid Level Data Analyst

Tampa, FL
onsite
Permanent
50000 - 65000 USD / Yearly
We are looking for a detail-oriented Data Analyst with expertise in Microsoft Excel to join our team in Tampa, Florida. In this role, you will work with raw data, transforming it into meaningful insights and actionable reports to support organizational initiatives. The ideal candidate thrives in analyzing complex datasets and has a strong understanding of data integrity, visualization, and reporting standards. Responsibilities: • Organize, analyze, and interpret raw data using advanced Excel functionalities, including formulas, macros, and pivot tables. • Consolidate and integrate data from multiple sources to build cohesive reports and dashboards. • Create and deliver detailed presentations and reports tailored to various stakeholders, including executives and board members. • Ensure data accuracy and consistency through regular audits and quality checks. • Collaborate with team members to enhance data collection processes and implement best practices. • Develop and maintain centralized data repositories for streamlined reporting. • Identify trends and patterns in data to provide actionable insights for organizational improvement. • Train staff on data management tools and techniques to promote consistent and efficient data handling. • Monitor performance indicators to detect discrepancies and recommend corrective actions. • Implement protocols to guarantee data security and compliance with organizational standards.
2026-03-02T00:00:00Z