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# Data Analyst / Data Engineer / ETL Developer

- **Company:** THE GULFLINE, L.L.C.
- **Location:** United States (Remote available)
- **Salary:** $83,200 - $176,800
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Data as a Services, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Systems, Relational Databases, Power BI, SQL Databases, Enterprise Software Applications, Azure Data Factory, Tools for Reporting, Databricks
- **Published:** October 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b4c0569277b9bef9

## About the Role

Candidates should have experience in one or more of the following areas:

 * SQL and relational database systems.
 * Python for data analysis and processing.
 * ETL development and enterprise data integration.
 * Power BI or similar reporting and visualization tools.
 * Microsoft Azure data services, including Azure Data Factory or Databricks.
 * Data modeling, transformation, validation, and quality assurance.
 * Developing reporting datasets from multiple enterprise systems.
 * Strong analytical, troubleshooting, and communication skills., * Do you live in Louisiana and/or have experience working on state or local government contracts?

## Description

Gulfline Systems LLC is seeking experienced Data Analysts, Data Engineers, and ETL Developers for potential municipal government technology projects.

These positions involve data analysis, reporting, business intelligence, data integration, and developing reliable data solutions across enterprise systems. Candidates will be considered for roles based on their skills and experience.

Responsibilities

 * Analyze, transform, validate, and maintain data across enterprise systems.
 * Develop and support data integration processes, ETL pipelines, and reporting solutions.
 * Write and optimize SQL queries for data analysis and processing.
 * Develop reports, dashboards, and business intelligence solutions.
 * Troubleshoot data quality, integration, and processing issues.
 * Support data mapping, reconciliation, and technical documentation.
 * Collaborate with technical teams and business stakeholders to understand data requirements.