Sr. Data Engineer

WeVision LLC is a leading global streaming and media technology company seeking a Sr. Data Engineer Consultant to support the development of a large-scale Audience Data Platform. The role involves building scalable data infrastructure to process consumer behavior data and deliver insights for marketing and business decision-making.

Responsibilities:

• Design, develop, and maintain large-scale data pipelines that capture and process consumer interaction data across multiple platforms
• Contribute to the development of the Audience Manager Platform (AMP), a centralized system that unifies customer profiles and provides a trusted source of audience insights
• Build scalable and fault-tolerant data processing systems to ensure reliable delivery of audience data to multiple business endpoints
• Develop backend data services and pipelines that support data ingestion, transformation, and activation workflows
• Work with cross-functional teams including data scientists, analytics teams, product teams, and business stakeholders to enable timely access to high-quality audience data
• Optimize and maintain distributed data processing frameworks to improve system performance and scalability
• Ensure high data quality, reliability, and observability across production data systems
• Serve as a technical point of contact or SME for data engineering systems in a multi-system production environment

Requirements:

• 4+ years of experience in big data engineering, building and maintaining large-scale data pipelines
• Hands-on experience with distributed data processing systems such as Spark (PySpark) or Flink
• Strong programming skills in Python and SQL for processing large datasets
• Experience with at least one MPP or cloud data warehouse such as Snowflake, Redshift, BigQuery, or Databricks
• Solid understanding of data modeling, data warehousing concepts, and best practices
• Experience supporting production data environments and acting as a technical point of contact or subject matter expert
• Strong analytical, problem-solving, and communication skills, with high attention to detail
• Bachelor's degree in Computer Science, Information Systems, Software Engineering, Electrical/Electronics Engineering, or a related technical field, or equivalent practical experience
• Minimum of 4 years of relevant professional experience in data engineering or related roles
• Experience working with AWS cloud technologies (e.g., S3, ECS, EMR, EC2, Lambda)
• Hands-on experience with data orchestration and integration tools such as Airflow
• Familiarity with CI/CD practices for data pipelines
• Experience working within Agile or Scrum development environments