Senior Data Engineer: Snowflake & AWS Pipelines

Tech Mirrors; Fort Mill (SC); On-site; USD 120,000 - 150,000; Full time

Job summary

Tech Mirrors is seeking a Data Engineer to design and maintain data pipelines using Snowflake, AWS, and Python in Fort Mill, SC, on-site. The role emphasizes building scalable ETL processes and robust data models for analytics.

You will collaborate with data scientists and analysts, implement DBT transformations, orchestrate workflows with Airflow, and ensure data quality and reliability across the data stack in a fast-moving environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven data engineering experience with Snowflake, AWS, and Python.
• Strong SQL knowledge and analytical problem-solving skills.
• Experience with DBT and data warehousing concepts.
• Excellent communication and teamwork abilities.

Responsibilities

• Design, develop, and maintain data pipelines and ETL processes.
• Collaborate with data scientists and analysts to define data requirements.
• Optimize data workflows for performance and reliability.
• Troubleshoot and resolve data-related issues in a timely manner.
• Stay updated on the latest technologies and best practices in data engineering.
• Design and implement scalable ETL solutions using AWS Glue.

Skills

Python

SQL

Education

Bachelor's degree in Computer Science or related field

Bachelor's degree in Information Technology or related field

Tools

Snowflake Snowpark

DBT

Apache Airflow

AWS Lambda

AWS Glue

Fivetran

HVR

Job description

Tech Mirrors is seeking a Data Engineer to design and maintain data pipelines using Snowflake, AWS, and Python in Fort Mill, SC, on-site. The role emphasizes building scalable ETL processes and robust data models for analytics.

You will collaborate with data scientists and analysts, implement DBT transformations, orchestrate workflows with Airflow, and ensure data quality and reliability across the data stack in a fast-moving environment.