Full-Stack Data Engineer: Reliable, Scalable Pipelines

CloudDevs; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

A data engineering company in the United States is seeking a Software Engineer to build and maintain robust data pipelines for various teams. The ideal candidate has proven experience in data engineering, strong SQL and Python skills, and familiarity with modern data stack tools. Responsibilities include ensuring data reliability and collaborating cross-functionally to enhance data usage across the organization. This role requires a proactive approach to data governance and quality assurance.

Qualifications

• Proven experience in data engineering with a strong knowledge of SQL and Python.
• Experience building and maintaining large-scale ETL/ELT pipelines.
• Strong understanding of data modeling, schema design, and transformation best practices.

Responsibilities

• Create and maintain pipelines for Data Science, Engineering, and Product teams.
• Ensure data reliability, availability, and timeliness.
• Continuously improve pipeline performance and scalability.

Skills

SQL

Python

Data modeling

Data governance

Cross-functional collaboration

Tools

Fivetran

dbt

Snowflake

Job description

A data engineering company in the United States is seeking a Software Engineer to build and maintain robust data pipelines for various teams. The ideal candidate has proven experience in data engineering, strong SQL and Python skills, and familiarity with modern data stack tools. Responsibilities include ensuring data reliability and collaborating cross-functionally to enhance data usage across the organization. This role requires a proactive approach to data governance and quality assurance.