Remote Data Quality Engineer | ETL & QE

Carbon Data Solutions; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Carbon Data Solutions is seeking a Remote Data Quality Engineer with a strong background in data engineering and testing to join our team. You will develop and maintain data pipelines using ETL processes, work with Hadoop, and collaborate with data science to implement analytics pipelines.

The role requires 8 years of relevant experience, a bachelor's degree in computer science or a related field, and hands-on experience with PySpark/Python, Snowflake or similar data warehouses, and AWS.

Qualifications

• Bachelor's degree required.
• 8+ years of data engineering/quality experience.
• Remote work experience is a plus.

Responsibilities

• Develop and maintain data pipelines using ETL processes.
• Take responsibility for Apache Hadoop development and implementation.
• Work closely with data science team to implement data analytics pipelines.
• Help define data governance policies and support data-versioning processes.

Skills

PySpark

Python

AWS

Hadoop

QE experience

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

ETL tools

Hadoop

Job description

Carbon Data Solutions is seeking a Remote Data Quality Engineer with a strong background in data engineering and testing to join our team. You will develop and maintain data pipelines using ETL processes, work with Hadoop, and collaborate with data science to implement analytics pipelines.

The role requires 8 years of relevant experience, a bachelor's degree in computer science or a related field, and hands-on experience with PySpark/Python, Snowflake or similar data warehouses, and AWS.