Remote Data Engineer: Build Scalable Pipelines & Data

Huzzle; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Huzzle is seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will work closely with analysts, scientists, engineers, and business stakeholders to ensure reliable, high-quality data across the organization.

This role offers a fully remote setup with flexible working arrangements and strong opportunities for career growth within global teams.

Qualifications

• 3+ years of experience in data engineering or related roles.
• Strong proficiency in SQL and database management.
• Experience with Python, Java, or Scala.
• Hands-on ETL/ELT development experience.
• Knowledge of cloud platforms (AWS/Azure/Google Cloud).
• Experience with modern data warehouses (Snowflake/Redshift/BigQuery/Databricks).
• Familiarity with orchestration tools such as Airflow or Prefect.
• Understanding of data modeling, governance, and quality.
• Experience with large datasets and distributed systems is a plus.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently in a remote, collaborative environment.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize data architectures, databases, and warehouses.
• Integrate data from multiple sources and APIs.
• Ensure data quality, consistency, reliability, and security.
• Monitor and troubleshoot data pipelines and workflows.
• Collaborate with analytics, engineering, and business teams.
• Implement data governance and best practices.
• Optimize data storage and query performance.
• Support reporting and analytics initiatives.
• Document data models and workflows.

Skills

SQL

Database management

Programming: Python/Java/Scala

ETL/ELT

Cloud platforms

Data warehouses (Snowflake/Redshift/BI

Airflow/Prefect

Data modeling

Data governance

Distributed systems

Analytics & communication

Remote work

Tools

Airflow

Prefect

Snowflake

Redshift

BigQuery

Databricks

Job description

Huzzle is seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will work closely with analysts, scientists, engineers, and business stakeholders to ensure reliable, high-quality data across the organization.

This role offers a fully remote setup with flexible working arrangements and strong opportunities for career growth within global teams.