Data Engineer (Tableau)
Core
Design, build, and maintain data pipelines and infrastructure while supporting client-facing data visualization and AI-assisted data workflows.
Role type
Data Engineer (Tableau & AI Data Support)
Builds
Scalable ETL/ELT pipelines, data lakes/warehouses, Tableau dashboards, and ML data preparation infrastructure
Domain
Data Engineering, Data Visualization, AI/ML Data Support
Deliverable
production ML models
Required skills
Python, SQL, Tableau, Data Warehousing, Cloud Platforms (AWS/Azure/GCP), Spark/PySpark, Feature Engineering
Preferred skills
NoSQL databases, ELK stack, Redis, Prompt Engineering, Linux/Shell scripting
Technologies
Python, SQL, Tableau, Databricks, Spark, PySpark, pandas, AWS, Azure, GCP, MongoDB, Redis, Flask, scikit-learn
Responsibilities
Design and maintain scalable ETL/ELT pipelines; Build and optimize data storage solutions; Develop Tableau dashboards and reports; Support AI/ML workflows with data pipelines and feature engineering; Write unit and integration tests for pipeline reliability
Seniority
Mid-level, hands-on IC
