A company is looking for a Senior Software Engineer- Analytics.
Key Responsibilities :
Architect and develop high-quality data assets for product and AI / ML use cases
Design and implement scalable data pipelines for self-service analytics and ML-driven insights
Implement DataOps best practices, ensuring data reliability through automated testing and documentation
Required Qualifications :
8+ years of experience in Data Engineering or Analytics Engineering, with 3+ years in large-scale data and ML pipelines
Experience with cloud native data solutions on AWS, GCP, or Azure
Proficiency in SQL and at least one data engineering language (Python / Scala)
Strong working experience with modern data engineering stack (e.g., Spark, Airflow, etc.)
Hands-on experience with relational and columnar databases (e.g., PostgreSQL, Redshift)
Senior Software Engineer • Springfield, Missouri, United States