Remote Data Engineer: AI Pipelines & Tableau Dashboards

Particle41; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Particle41 seeks a talented Data Engineer to design, build, and maintain data pipelines and infrastructure. You will support client-facing data visualization and contribute to AI-assisted data workflows across the full data lifecycle — from ingestion to decision-ready outputs — collaborating with cross-functional teams.

Key focus areas include Tableau dashboards, data modeling for performance, and feature engineering for ML/LLM projects.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a Data Engineer.
• Experience with SQL (MySQL, PostgreSQL) and NoSQL databases (MongoDB).
• Hands-on Tableau dashboard development and data source management.
• Familiarity with data warehousing and lakehouse concepts (Databricks, Spark, PySpark).
• Experience with ML/AI data pipelines, vector databases, and feature stores.
• Proficiency in Python (Flask, scikit-learn, requests, pytest).
• Cloud familiarity (Azure, AWS, or GCP).
• Familiarity with ELK, Redis, and distributed queues.
• Strong communication across technical and non-technical teams.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines for large data volumes.
• Create and optimize data lakes and data warehouses for efficient analytics.
• Integrate structured and unstructured data into a unified analytics view.
• Ensure data quality through validation, cleansing, and transformation.
• Document data processes, tools, and systems clearly.
• Develop Tableau dashboards and reports for client-ready visuals and insights.
• Model data for Tableau performance, support live connections and published data sources.
• Collaborate with stakeholders to translate reporting needs into visuals.
• Provide ad hoc analysis using Tableau and Python charting tools.
• Support AI/ML workflows by maintaining pipelines feeding model training and evaluation.
• Assist with feature engineering and vector store integration for LLM projects.
• Promote clean, well-structured data upstream for AI tooling.

Skills

Tableau

PySpark

Vector databases

Feature engineering

SQL

NoSQL MongoDB

Databricks

Spark

Python libraries

Git

Linux shell

ELK

Redis

Education

Bachelor's degree in Computer Science or related field

Tools

Tableau

Databricks

Spark

PySpark

Job description

Particle41 seeks a talented Data Engineer to design, build, and maintain data pipelines and infrastructure. You will support client-facing data visualization and contribute to AI-assisted data workflows across the full data lifecycle — from ingestion to decision-ready outputs — collaborating with cross-functional teams.

Key focus areas include Tableau dashboards, data modeling for performance, and feature engineering for ML/LLM projects.