Remote Data Engineer — Spark, Cloud, Snowflake

Plain Concepts Group; United States; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Fully remote work (optional)

Flexible schedule

Free Microsoft certifications

Training or equipment budget

Birthday day off

Gym discount

Job summary

Plain Concepts is growing our data team. We’re looking for a passionate Data Engineer to design and build data-powered solutions, train, deploy, and push developments into action. You’ll work with cutting‑edge tech on cloud projects (Azure/AWS) and develop ETLs with Spark in a flexible, remote-friendly environment.

AGILE ways of working, strong collaboration, and ownership of projects are key. If you love data pipelines, DBT, Snowflake, and scalable architectures, join us and help deliver value

Qualifications

• At least 4 years of experience in data engineering.
• Strong experience with Python or Scala and Spark, processing large datasets.
• Solid experience in Cloud platforms (Azure or AWS).
• Experience working with Snowflake.
• Hands-on experience building data pipelines (CI/CD).
• Experience with testing (unit, integration, etc.).
• Experience with DBT for data transformation and modelling.
• Implement data transformation workflows using DBT (core/cloud).
• Bonus points for IaC (Infrastructure as Code).
• Knowledge of SQL and NoSQL databases.
• Bonus points if you speak fluent English.

Responsibilities

• Participating in the design and development of Data solutions for challenging projects.
• Develop projects from scratch with minimal supervision and strong team collaboration.
• Be a key player in fostering best practices, clean, and reusable code.
• Develop ETLs using Spark (Python/Scala).
• Work on cloud-based projects (Azure/AWS).
• Build scalable pipelines using a variety of technologies.

Skills

Python

Scala

Spark

Cloud Azure

Cloud AWS

Snowflake

DBT

SQL

NoSQL

CI/CD

English

Tools

DBT

Snowflake

Job description

Plain Concepts is growing our data team. We’re looking for a passionate Data Engineer to design and build data-powered solutions, train, deploy, and push developments into action. You’ll work with cutting‑edge tech on cloud projects (Azure/AWS) and develop ETLs with Spark in a flexible, remote-friendly environment.

AGILE ways of working, strong collaboration, and ownership of projects are key. If you love data pipelines, DBT, Snowflake, and scalable architectures, join us and help deliver value