Senior Data Engineer

Description Kforce has a client that is seeking a Senior Data Engineer in Fort Lauderdale, FL to join a highly collaborative data and analytics team.

Overview:

This role is responsible for designing, building, and optimizing scalable data platforms that support enterprise reporting, analytics, and data-driven decision-making. The ideal candidate brings deep expertise in cloud-based data engineering, distributed data processing, and real-time streaming technologies while demonstrating strong leadership and mentoring capabilities.

Responsibilities:
* Lead and mentor data engineers, promoting best practices in software development, architecture, and deployment
* Design, develop, and maintain enterprise data lake and data warehouse solutions
* Build scalable data pipelines that process structured and semi-structured data across diverse sources
* Develop and optimize cloud-native data solutions using AWS, Azure, or GCP services
* Architect and support high-performance distributed data processing frameworks for large-scale workloads
* Design and maintain real-time streaming solutions using technologies such as Apache Kafka and Apache Flink
* Collaborate with data architects, analysts, and business stakeholders to deliver reliable and scalable data products
* Monitor, troubleshoot, and optimize data pipelines, processing frameworks, and cloud infrastructure
* Drive continuous improvement initiatives by evaluating and implementing emerging technologies and best practices Requirements
* 7+ years of experience in Data Engineering or a related field
* Proven experience leading, mentoring, or guiding data engineering teams
* Strong experience building and maintaining enterprise data lakes and data warehouses
* Expertise designing and implementing scalable ETL/ELT and data integration solutions
* Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
* Experience with cloud storage and compute services, including solutions such as S3, Azure Blob Storage, Databricks, EC2, or Lambda
* Advanced experience with Apache Spark and distributed data processing frameworks
* Strong knowledge of real-time data processing and streaming technologies, including Kafka and Flink
* Proficiency in Python and SQL
* Experience developing automated data workflows and large-scale data transformation processes
* Strong analytical, troubleshooting, and communication skills

Preferred Qualifications:

* Experience developing Delta Lakehouse solutions using Databricks
* Expertise optimizing Apache Spark performance through partitioning, caching, tuning, and troubleshooting
* Working knowledge of Java
* Experience supporting low-latency, high-throughput data environments
* Familiarity with modern data architecture patterns and cloud-native platforms
* Passion for emerging technologies and continuous innovation in data engineering

Job Type Contract Compensation
68 - $92