Data Engineer — AI & Tableau Data Pipelines

Particle41; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Particle41 in the United States is seeking a Data Engineer to design, build, and maintain data pipelines and infrastructure, support client-facing data visualization, and contribute to AI-assisted data workflows across the full data lifecycle.

You will work with cross-functional teams to ingest data from diverse sources, optimize storage, and ensure data quality while documenting data processes and tooling. Proficiency in Python, SQL/NoSQL, Tableau, and cloud data stacks is essential.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years of experience as a Data Engineer.
• Strong Python proficiency.
• Experience with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB).
• Hands-on experience with Tableau — dashboards and data sources.
• Familiarity with Databricks, Spark, PySpark, and pandas.
• Experience building or supporting ML/AI data pipelines.
• 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 across technical and non-technical teams.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for large data volumes.
• Build and optimize data storage — data lakes and data warehouses.
• Integrate structured and unstructured data into a unified view for analysis.
• Ensure data accuracy, consistency, and completeness through validation and cleansing.
• Maintain clear documentation for data processes, tools, and systems.
• Build and maintain Tableau dashboards and reports for clear visuals.
• Design data models and extracts optimized for Tableau performance.
• Apply data visualization best practices for client-ready outputs.
• Partner with stakeholders to translate reporting needs into visuals.
• Support ad hoc analysis using Tableau, Python-based charts, or similar tools.
• Support AI/ML workflows by feeding model training and evaluation pipelines.
• Assist data prep for LLM/ML projects including feature engineering and tokenization pipelines.
• Help teams adopt AI-assisted data tooling with clean, upstream data.
• Contribute to prompt engineering and evaluation frameworks where data context matters.
• Work with product managers to gather requirements and translate them into technical solutions.
• Participate in Agile development cycles and deliver on time.

Skills

Python proficiency

SQL

NoSQL

Tableau

Data modeling

Cloud platforms

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Python

SQL

NoSQL

Tableau

Databricks

Spark

PySpark

pandas

Flask

Git

Job description

Particle41 in the United States is seeking a Data Engineer to design, build, and maintain data pipelines and infrastructure, support client-facing data visualization, and contribute to AI-assisted data workflows across the full data lifecycle.

You will work with cross-functional teams to ingest data from diverse sources, optimize storage, and ensure data quality while documenting data processes and tooling. Proficiency in Python, SQL/NoSQL, Tableau, and cloud data stacks is essential.