Operaxis

Job Summary:
OperAxis is a company seeking a Data Engineer to join their team. The role involves designing and building scalable data pipelines, collaborating with AI developers, and ensuring data quality and performance optimization.
Responsibilities:
• Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow
• Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries
• Build and maintain data pipelines feeding AI/ML feature stores and forecasting models
• Collaborate with AI Developers to ensure high-quality, low-latency data access for model training
• Manage and optimize Cloud Composer DAGs and pipeline orchestration
• Implement data quality monitoring, alerting, and lineage tracking
• Participate in data platform architecture decisions and documentation
Qualifications:
Required:
• 3+ years (Intermediate) or 5+ years (Specialist) of data engineering experience
• Hands-on experience with Apache Airflow for pipeline orchestration
• Proficiency in Apache Spark for large-scale data processing
• Strong SQL skills including complex query optimization and BigQuery-specific capabilities
• Experience with GCP data services: BigQuery, Cloud Storage, Pub/Sub, Dataflow
• Solid understanding of ETL/ELT patterns and data warehousing principles
Preferred:
• GCP Professional Data Engineer certification
• Experience supporting ML/AI data infrastructure (feature engineering, training datasets)
• Familiarity with real-time streaming (Kafka, Dataflow/Flink)
• Retail or large-scale consumer data experience
Company:
Welcome to OperAxis, a leader in workforce solutions, committed to delivering beyond traditional staffing. Founded in 2021, the company is headquartered in Wilmington, Delaware , US, , with a team of 11-50 employees. The company is currently Early Stage.