Senior AI Engineer Job at Confidential, Fort Lauderdale, FL

  • Confidential
  • Fort Lauderdale, FL

Job Description

Kforce has a client that is seeking a Senior AI Engineer in Fort Lauderdale, FL to join a highly collaborative data and analytics team. Summary: 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
  • 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
  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Advanced experience with Apache Spark and distributed data processing frameworks
  • Experience with cloud storage and compute services, including solutions such as S3, Azure Blob Storage, Databricks, EC2, or Lambda
  • Experience developing automated data workflows and large-scale data transformation processes
  • Expertise designing and implementing scalable ETL/ELT and data integration solutions
  • Strong knowledge of real-time data processing and streaming technologies, including Kafka and Flink
  • Proficiency in Python and SQL
  • Strong analytical, troubleshooting, and communication skills
Preferred Qualifications:
  • Experience developing Delta Lakehouse solutions using Databricks
  • Experience supporting low-latency, high-throughput data environments
  • Expertise optimizing Apache Spark performance through partitioning, caching, tuning, and troubleshooting
  • Working knowledge of Java
  • Familiarity with modern data architecture patterns and cloud-native platforms
  • Passion for emerging technologies and continuous innovation in data engineering

Job Tags

Temporary work

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