> Markdown version of [/jobs/ext/4604016-senior-data-engineer-iii](https://www.wearedevelopers.com/jobs/ext/4604016-senior-data-engineer-iii). 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). --- # Senior Data Engineer III - **Company:** Kforce Inc. - **Location:** Fort Lauderdale, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Query Performance, Airflow, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Cloud Database, Cluster Analysis, Continuous Integration, Data as a Services, Data Validation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Sharing, Data Warehousing, Database Development, Dimensional Modeling, Distributed Data Store, Github, Python (Programming Language), Metadata, Meta-Data Management, Operational Databases, Performance Tuning, Role-Based Access Control, SQL Databases, Workflow Management Systems, Data Processing, Azure Data Factory, Snowflake, Apache Spark, Data Lakes, Data Pipelines, Databricks - **Published:** November 6, 2026 - **Apply:** https://www.kforce.com/find-work/search-jobs/#/detail/MTY5Nn5FUUd-MjE5MzUwOVAxfjk5/ ## About the Role * 7+ years of experience in data engineering, data warehousing, or a related discipline * 5+ years of hands-on Snowflake experience in enterprise environments * Strong experience with Snowflake Tasks, Streams, Virtual Warehouses, RBAC, clustering, data sharing, performance tuning, and cost optimization * Experience designing and supporting large-scale ETL/ELT pipelines, data lakes, and data warehouses * Experience with Azure and/or AWS cloud data services * Experience with orchestration tools such as Azure Data Factory or Apache Airflow * Experience implementing data validation, testing, monitoring, and operational support processes * Strong knowledge of dimensional modeling, distributed data systems, data integration, and modern analytics architectures * Proficiency with Python for data processing and automation * Advanced Snowflake SQL and general SQL development skills * Strong communication, documentation, problem-solving, and stakeholder-management skills * Ability to independently design, deploy, troubleshoot, and maintain production data solutions * Ability to mentor engineers and contribute to technical standards Preferred qualifications include: * SnowPro certification * CI/CD experience using Azure DevOps or GitHub Actions * Experience with Databricks, Apache Spark, or Delta Lake * Knowledge of data governance, metadata, lineage, and compliance practices ## Description Kforce has a client seeking a Senior Snowflake Data Engineer in Fort Lauderdale, FL to design, develop, and optimize scalable enterprise data solutions supporting analytics, reporting, and business intelligence. This hands-on role will build reliable data pipelines, implement Snowflake best practices, and ensure critical data assets meet performance, security, quality, and availability standards. Responsibilities include: * Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake, SQL, Python, and modern data engineering frameworks * Build and support cloud-based data lakes, data warehouses, and analytics platforms * Architect and optimize Snowflake data models, Tasks, Streams, Virtual Warehouses, clustering strategies, RBAC, and data-sharing capabilities * Monitor query performance, storage consumption, data processing, and platform costs * Develop automated, reusable patterns for ingestion, transformation, validation, testing, and monitoring * Apply dimensional modeling and data warehousing best practices * Troubleshoot data accuracy, completeness, latency, performance, and reliability issues * Support data governance, metadata management, lineage, security, and access-control initiatives * Partner with analysts, data scientists, product owners, application teams, and business stakeholders to translate requirements into technical solutions * Participate in architecture decisions, document technical designs, and mentor less-experienced engineers * Independently manage solutions from requirements gathering through deployment and production support