Remote Data Consultant - ETL & Data Warehousing

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

Benefits offered by this job

Remote work option

Job summary

Particle41 is seeking a Data Consultant to design, build, and maintain robust data pipelines and infrastructure for diverse client needs. You will collaborate with cross-functional teams to deliver scalable data solutions, ensuring accuracy and performance across systems.

The role emphasizes end-to-end data engineering, from data ingestion to validated, well-documented outputs, with opportunities to grow skills in cloud platforms and modern data architectures.

Qualifications

• Bachelor's degree in CS / Engineering or related field.
• 3+ years of data engineering experience required.
• Proficiency in Python, SQL, and NoSQL databases.
• Experience with data pipelines, warehousing, and lakehouses.
• Strong understanding of ETL/ELT, testing, and documentation.

Responsibilities

• Design, build, and maintain scalable ETL pipelines.
• Develop data storage solutions like data lakes and warehouses.
• Integrate structured and unstructured data from multiple sources.
• Ensure data accuracy, validation, and quality checks.
• Collaborate with product teams to translate requirements into technical solutions.
• Write tests, document processes, and promote best practices.

Skills

Python

SQL

NoSQL

Flask

API frameworks

Data warehousing

Spark

PySpark

Machine learning

OpenCV

scikit-learn

ELK stack

Redis

Git

Linux / shell scripting

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

MongoDB

MySQL

PostgreSQL

Spark / PySpark

OpenCV

Git

Job description

Particle41 is seeking a Data Consultant to design, build, and maintain robust data pipelines and infrastructure for diverse client needs. You will collaborate with cross-functional teams to deliver scalable data solutions, ensuring accuracy and performance across systems.

The role emphasizes end-to-end data engineering, from data ingestion to validated, well-documented outputs, with opportunities to grow skills in cloud platforms and modern data architectures.