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Data Integration Engineer

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: KellyMitchell Group
Full Time position
Listed on 2026-03-08
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Summary

Our client is seeking a Data Integration Engineer to join their team! This position is located in Tampa, Florida.

Pay Range

The approximate pay range for this position is between $42.00 and $60.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Duties
  • Develop BI dashboards and self-service reporting tools using platforms such as Power BI, Tableau, and Streamlit
  • Partner with data engineering teams to ensure clean, accessible, and well-structured datasets
  • Align BI development efforts with strategic initiatives and KPIs
  • Troubleshoot complex data issues, including inconsistencies, gaps, and transformation logic
  • Optimize SQL queries, Python code, and data models for performance
  • Automate manual reporting tasks and improve data workflows
  • Gather and translate reporting requirements into scalable BI solutions
  • Communicate technical concepts clearly to non-technical audiences
  • Provide training and support on BI tools and dashboards
  • Maintain documentation for reports, dashboards, and data models
  • Ensure adherence to data governance, integrity, and compliance standards
Desired Skills / Experience
  • Strong proficiency in SQL, Python, and BI tools
  • Knowledge of data modeling techniques and ETL processes
  • Ability to work with large datasets and perform root‑cause analysis
  • Strong attention to detail with the ability to identify trends and anomalies
  • Experience with cloud data platforms such as Snowflake, Big Query, Redshift, Databricks, Synapse, Microsoft Fabric preferred
  • Familiarity with scripting languages such as Python and R for data manipulation or automation
  • Ability to interpret business processes and define meaningful KPIs
  • Strong communication skills for translating business goals into data visualizations and insights
Benefits
  • Medical, Dental, & Vision Insurance Plans
  • Employee‑Owned Profit Sharing (ESOP)
  • 401(k) offered
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