Senior Data Engineer — Hybrid, AWS & Snowflake Pipelines

Cox Communications; Atlanta (GA); Hybrid; USD 102,000 - 169,000; Full time

Job summary

Cox Automotive’s Enterprise Platforms Data & Analytics group seeks a hands-on Senior Data Engineer to build and operate production data pipelines in Snowflake, backed by AWS. You will lead a mixed onshore/offshore team, enforce data quality and governance, and enable BI and AI workloads with scalable, secure data products.

The role emphasizes end-to-end delivery, collaboration with Product Owners and AI teams, and mentoring junior engineers in a fast-paced, hybrid work environment in Atlanta.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 4+ years of Data Engineering experience building production ETL/ELT pipelines.
• Experience with Python and advanced SQL.
• Strong knowledge of Snowflake including schema/view design, MERGE, masking, and governance.
• Experience with AWS data services and serverless architectures.

Responsibilities

• Design, build, and operate metadata-driven ingestion and egress pipelines into Snowflake using an AWS framework.
• Deliver features end-to-end from requirements to production with CI/CD.
• Develop governed data views, masks, and quality checks.
• Lead and mentor onshore and offshore engineers; collaborate with Product and AI teams.
• Use AI-assisted development to improve throughput while maintaining quality and governance.

Skills

Python

SQL

ETL/ELT

Data modeling

Data governance

Mentoring

Agile

CI/CD

Snowflake

AWS

dbt

Apache Airflow

Terraform

Education

Bachelor's degree in Computer Science/Information Systems or related field

Tools

Snowflake

AWS

dbt

Apache Airflow

Terraform

CloudFormation

CI/CD tooling

Job description

Cox Automotive’s Enterprise Platforms Data & Analytics group seeks a hands-on Senior Data Engineer to build and operate production data pipelines in Snowflake, backed by AWS. You will lead a mixed onshore/offshore team, enforce data quality and governance, and enable BI and AI workloads with scalable, secure data products.

The role emphasizes end-to-end delivery, collaboration with Product Owners and AI teams, and mentoring junior engineers in a fast-paced, hybrid work environment in Atlanta.