> Markdown version of [/jobs/ext/4447703-data-engineer](https://www.wearedevelopers.com/jobs/ext/4447703-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer

- **Company:** Robert Half
- **Location:** Fort Lauderdale, FL, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Query Performance, Amazon Web Services, Big Data, Data as a Services, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Python (Programming Language), Performance Tuning, SQL Databases, Data Storage Technologies, Cloud Platform System, Azure Data Factory, Sql Optimization, Snowflake, Semi-structured Data, Data Pipelines, Databricks
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3472131486&tx=UT6056THI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 4+ years of hands-on experience in data engineering or a related field.
 * Strong proficiency in Python and advanced SQL for data transformation, automation, and performance tuning.
 * Experience with modern cloud data tools and platforms such as Azure Data Factory, Snowflake, Databricks, or AWS-based data services.
 * Solid understanding of data modeling, data warehousing, and ETL/ELT design principles.
 * Experience working with large-scale datasets and building reliable, production-grade data solutions.
 * Familiarity with data governance, data validation, and pipeline orchestration best practices.

## Description

We are seeking an experienced Data Engineer to architect, build, and optimize scalable data pipelines and cloud-based data platforms that support advanced analytics, reporting, and business intelligence initiatives., * Design, develop, and maintain robust ETL/ELT pipelines for ingesting, transforming, and loading structured and semi-structured data.

 * Build and manage scalable data pipelines using Python and SQL across cloud and warehouse environments.
 * Optimize data storage, query performance, and overall efficiency within modern data warehouse platforms.
 * Develop and maintain data models that support downstream analytics, reporting, and operational use cases.
 * Collaborate with business stakeholders, analysts, and engineering teams to define data requirements and translate them into technical solutions.
 * Implement and support data quality checks, governance standards, and monitoring processes to ensure data reliability and integrity.
 * Troubleshoot pipeline failures, performance bottlenecks, and data consistency issues across the data ecosystem.
 * Contribute to best practices in data architecture, orchestration, documentation, and deployment.