Data Engineer: Build Scalable Pipelines & Warehouses Remote

NuView Analytics; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

A data analytics firm is seeking a Data Engineer to help clients build scalable, reliable data infrastructure. The role is fully remote but candidates must reside in the United States. The engineer will design pipelines, optimize cloud solutions, and work with modern data tools. A Bachelor's Degree in a related field and 2–5 years of experience are required, along with strong SQL and Python skills. The team values versatility and collaboration across technical and non-technical stakeholders.

Qualifications

• 2–5 years of data engineering or software engineering experience required.
• Expertise in SQL for complex query authoring and optimization.
• Proficient in Python for data processing and pipeline scripting.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Architect and optimize cloud data warehouse solutions.
• Collaborate with analysts and data scientists for data integrity.

Skills

SQL Expert

Python

Database Transformation Tools (dbt)

Cloud Platforms (Azure, AWS, GCP)

Data Warehouses (Snowflake, BigQuery)

Version Control (Git)

Orchestration Tools (Airflow, Prefect)

Strong communication skills

Education

Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field

Tools

dbt

Snowflake

Microsoft Fabric

Airflow

Job description

A data analytics firm is seeking a Data Engineer to help clients build scalable, reliable data infrastructure. The role is fully remote but candidates must reside in the United States. The engineer will design pipelines, optimize cloud solutions, and work with modern data tools. A Bachelor's Degree in a related field and 2–5 years of experience are required, along with strong SQL and Python skills. The team values versatility and collaboration across technical and non-technical stakeholders.