Cloud Data Engineer — Python, SQL & AWS Pipelines

Compunnel, Inc.; Durham (NC); On-site; USD 95,000 - 120,000; Full time

Job summary

A technology solutions firm in Durham, NC is seeking an experienced Data Engineer to design scalable data pipelines and contribute to an enterprise-wide Data Lake on AWS. The role requires a strong background in Python, SQL, and AWS services, with responsibilities including building cloud infrastructure for data analytics, optimizing data models, and ensuring data integrity. The ideal candidate is passionate about data and enjoys working in a collaborative environment.

Qualifications

• Extensive experience with relational databases such as Oracle or Snowflake.
• Hands-on experience with AWS services including S3, Glue, Redshift, etc.
• Experience with ETL technologies such as Informatica or SnapLogic.

Responsibilities

• Design and implement scalable ETL/ELT pipelines using AWS services.
• Integrate structured and unstructured data into data lakes and warehouses.
• Monitor data pipelines and troubleshoot issues to ensure reliability.

Skills

Python

SQL

AWS

Data modeling

ETL/ELT processes

Agile methodologies

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Tools

AWS Glue

Terraform

Apache Airflow

Informatica

Job description

A technology solutions firm in Durham, NC is seeking an experienced Data Engineer to design scalable data pipelines and contribute to an enterprise-wide Data Lake on AWS. The role requires a strong background in Python, SQL, and AWS services, with responsibilities including building cloud infrastructure for data analytics, optimizing data models, and ensuring data integrity. The ideal candidate is passionate about data and enjoys working in a collaborative environment.