Data Platform Engineer
Indexed description
What you will do:
- 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 Infrastructure as Code (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
- 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 the following: dbt, Airflow (or another workflow orchestration tool), AWS Lambda (or other serverless application development), Terraform (or another IaC tool) — we’d rather hire someone who learns quickly across the stack than someone who simply checks every box
This position will be in our new downtown Royal Oak headquarters. We recently renovated a large industrial warehouse into a modern, new office that embodies the culture and character of Detroit’s most innovative tech startup.
Our people live four core values: Fearless, Accountable, Productive, and Resourceful. If that's how you work, you'll fit right in.
To Learn More About Our Company, Please Visit Www.careernowbrands.com
Career Now Brands is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.
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