Tampa,Florida,USA Posted: Thu, Jul 03 2025

• Design, develop, and maintain scalable and robust data pipelines.
  
  
• Integrate data from multiple sources, including APIs, cloud platforms, databases, and third-party systems.
  
  
• Build and manage data infrastructure and architecture that supports analytics and reporting needs.
  
  
• Ensure data quality, consistency, reliability, and governance across systems.
  
  
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
  
  
• Implement data security best practices to ensure compliance with privacy and regulatory standards (GDPR, HIPAA, etc.).
  
  
• Monitor pipeline performance and troubleshoot issues.
  
  
• Automate repetitive tasks to improve efficiency and reduce manual workloads.
  
  

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.
  
  
• Experience in data engineering or a related role.
  
  
• Proficiency in SQL and at least one programming language (e.g., Python, Scala, Java).
  
  
• Experience with data pipeline tools such as Apache Airflow, Luigi, or similar.
  
  
• Strong understanding of ETL/ELT processes and tools (e.g., Talend, Informatica, Fivetran, dbt).
  
  
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  
  
• Experience working with big data technologies like Spark, Hadoop, or Kafka.
  
  
• Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
  
  
• Strong problem-solving and communication skills.