Data Engineer (Tableau)

The role

You will design, build, and maintain data pipelines and infrastructure. You will support client-facing data visualization and contribute to AI-assisted data workflows.

What you will do

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize data storage solutions like data lakes and data warehouses.
• Integrate structured and unstructured data into a unified view.
• Ensure data accuracy, consistency, and completeness.
• Maintain clear documentation for data processes, tools, and systems.
• Build and maintain Tableau dashboards and reports.
• Design data models and extracts optimized for Tableau performance.
• Support AI/ML workflows by building and maintaining data pipelines.
• Assist with data preparation for LLM and machine learning projects.
• Work with product managers to gather requirements and translate them into technical solutions.

Required qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a Data Engineer.
• Strong Python proficiency.
• Experience with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) databases.
• Hands-on experience with Tableau.
• Familiarity with data warehousing and lakehouse principles.
• Familiarity with at least one cloud data stack (Azure, AWS, or GCP).
• Working knowledge of the ELK stack, Redis, and distributed task queues.
• Proficiency with Python libraries including Flask, scikit-learn, requests, pytest, and logging utilities.
• Comfortable working in Linux and writing shell scripts.
• Familiarity with Git and collaborative development workflows.
• Strong communication skills.

Nice to have

• Experience with Databricks, Spark, PySpark, and pandas.
• Experience building or supporting ML/AI data pipelines, including feature stores, vector databases, or model serving infrastructure.

About the company

Particle41 is driven by core values of Empowering, Leadership, Innovation, Teamwork, and Excellence (ELITE).