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# Data Engineer

- **Company:** Kforce Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Big Data, BigQuery, Databases, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Mining, Data Warehousing, Database Queries, Python (Programming Language), Performance Tuning, SQL Databases, Enterprise Data Management, Data Processing, Freeform SQL, Google Cloud, Enterprise Software Applications, Cloud Platform System, Data Pipelines
- **Published:** August 19, 2026
- **Apply:** https://www.dice.com/job-detail/c1f6a94a-1ccf-4612-8bc9-0ffea408bf22

## About the Role

* 6-8+ years of data engineering experience
 * Strong in SQL (be able to tune queries properly, write complex queries, join tables, etc.)
 * Experience with ETL processes
 * Python experience
 * Google Cloud Platform Experience (with BigQuery)
 * Strong Communication - ability to communicate with the business and stakeholders
 * Experience in creating pipelines for data extraction, cleansing, and movements (airflow) a plus

## Description

Kforce has a client that is seeking a remote Senior Data Engineer to join their team., Summary:We are seeking a Senior Data Engineer to support the design, development, and optimization of enterprise data platforms and large-scale data solutions. This role will focus on building and maintaining data pipelines, integrating data from multiple source systems, and enabling scalable analytics and reporting capabilities across the organization., * Design, develop, and maintain robust ETL/ELT data pipelines

 * Build and optimize complex data models, data transformations, and large-scale data integrations
 * Develop and tune highly complex SQL queries for data processing and analysis
 * Integrate and consolidate data from various enterprise systems and databases
 * Work with cloud-based data platforms and data warehouse technologies to support business intelligence and analytics initiatives
 * Implement workflow orchestration and automation solutions to improve data processing efficiency
 * Collaborate with cross-functional teams including analytics, engineering, and business stakeholders to deliver data-driven solutions
 * Support data quality, governance, and performance optimization efforts
 * Contribute to modernization and scalability initiatives within enterprise data environments
 * Partner with teams leveraging machine learning and AI technologies to support data consumption and model development


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