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# Senior Data Engineer

- **Company:** LTM Inc
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, CA Workload Automation Ae, Microsoft Azure, Cloud Computing, Continuous Integration, Extract Transform Load (ETL), Data Warehousing, Github, Apache Hadoop, Job Scheduling, Python (Programming Language), Performance Tuning, Standard Sql, Shell Script, Software Deployment, Data Processing, Ab Initio, Gitlab, Pyspark, Data Management, Data Pipelines, Jenkins
- **Published:** August 6, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-data-engineer-tampa-fl-usa-58819125

## About the Role

Experteer Overview In this role you will design, develop, and optimize large-scale ETL data integrations using Ab Initio, Python, and related technologies. You will contribute to enterprise data processing and support production deployments while collaborating with business and technical stakeholders in an Agile setting. You'll build reusable components, graphs, and automated data workflows to improve data quality and performance. This position offers impact through shaping data pipelines that enable analytics and decision-making across the organization. Compensation / Benefits * Design and develop ETL solutions with Ab Initio * Develop Python-based automation and data processing scripts * Build and maintain Graphs, PDs and reusable components * Perform data analysis, transformation, and validation * Optimize ETL job performance and scalability * Support production deployments and issue resolution * Collaborate with stakeholders in Agile environments Tasks * Proficiency in Ab Initio
GDE, Graph Development, MFS, PDL, Control Center * Strong Python and SQL skills * Experience with Unix/Linux and shell scripting * ETL/data warehousing concepts and performance tuning * Familiarity with cloud and big data tools (AWS, Azure, PySpark, Hadoop) * Experience with CI/CD tools (Jenkins, GitHub, GitLab) and job schedulers (Autosys, ControlM) * Refinement of data pipelines in enterprise environments * Ability to work with cross-functional teams in Agile settings Key requirements *

## Description

Experteer Overview In this role you will design, develop, and optimize large-scale ETL data integrations using Ab Initio, Python, and related technologies. You will contribute to enterprise data processing and support production deployments while collaborating with business and technical stakeholders in an Agile setting. You'll build reusable components, graphs, and automated data workflows to improve data quality and performance. This position offers impact through shaping data pipelines that enable analytics and decision-making across the organization. Compensation / Benefits * Design and develop ETL solutions with Ab Initio * Develop Python-based automation and data processing scripts * Build and maintain Graphs, PDs and reusable components * Perform data analysis, transformation, and validation * Optimize ETL job performance and scalability * Support production deployments and issue resolution * Collaborate with stakeholders in Agile environments Tasks * Proficiency in Ab Initio GDE, Graph Development, MFS, PDL, Control Center * Strong Python and SQL skills * Experience with Unix/Linux and shell scripting * ETL/data warehousing concepts and performance tuning * Familiarity with cloud and big data tools (AWS, Azure, PySpark, Hadoop) * Experience with CI/CD tools (Jenkins, GitHub, GitLab) and job schedulers (Autosys, ControlM) * Refinement of data pipelines in enterprise environments * Ability to work with cross-functional teams in Agile settings Key requirements *


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