Data Platform Engineer - Cloud Pipelines, Snowflake & AI (Remote)

Career Now Brands; Royal Oak (MI); On-site; USD 85,000 - 95,000; Full time

Job summary

Career Now Brands seeks a Data Platform Engineer to design and evolve a modern cloud data platform powering analytics, internal apps, automation, and AI across the organization. You will build scalable ELT/ETL pipelines, data models in Snowflake, and automation using Terraform, AWS Lambda, and CI/CD.

The role emphasizes data quality, observability, and collaboration with engineers, analysts, and business stakeholders, with on-site work in Royal Oak, MI.

Qualifications

• 3+ years of experience in Data Engineering, Platform Engineering, Cloud Engineering, or a related role.
• Strong Python and SQL skills.
• Experience with Snowflake or another cloud data warehouse.
• Experience with Git and CI/CD pipelines.
• Hands-on experience with two or three of: dbt, Airflow, AWS Lambda, Terraform — willingness to learn across the stack.
• Nice to have: Streamlit, Docker and/or Kubernetes, REST API development, Snowflake Cortex or AI/LLM technologies.
• Systems thinker with troubleshooting skills.
• Strong communicator across technical and non-technical audiences.
• Accountable, resourceful, productive, and able to work Eastern Time Zone hours (hybrid/remote).

Responsibilities

• Design and maintain scalable ELT/ETL pipelines, integrating data from APIs, SaaS platforms, databases, and event streams
• Build reusable data models and data products in Snowflake, optimizing for performance, reliability, and cost
• Develop AWS Lambda functions and event-driven workflows
• Build lightweight internal applications and automation tools (Streamlit, APIs, utilities)
• Collaborate with engineering teams to expose data through services and applications
• Implement CI/CD for data and platform components, and manage infrastructure using Terraform or other IaC tools
• Improve observability, monitoring, alerting, and operational automation
• Implement data quality checks and platform reliability best practices
• Prepare trusted datasets for analytics and AI use cases, improving metadata, documentation, and data discoverability
• Support internal AI and automation initiatives

Skills

Python

SQL

Snowflake

Terraform

AWS Lambda

dbt

Airflow

Git

CI/CD

Streamlit

Docker

Kubernetes

REST API development

Tools

Snowflake

dbt

Airflow

Terraform

GitHub CI/CD

Streamlit

Tableau

AI/LLM technologies

Python

SQL

REST API development

Docker

Kubernetes

Job description

Career Now Brands seeks a Data Platform Engineer to design and evolve a modern cloud data platform powering analytics, internal apps, automation, and AI across the organization. You will build scalable ELT/ETL pipelines, data models in Snowflake, and automation using Terraform, AWS Lambda, and CI/CD.

The role emphasizes data quality, observability, and collaboration with engineers, analysts, and business stakeholders, with on-site work in Royal Oak, MI.