Data Engineer
Job Summary
To shape IPH's data ecosystem, the full-time remote Data Engineer will design, build, and scale cloud-based data platforms and pipelines, ensuring reliability and quality while collaborating with cross-functional teams to translate business needs into actionable data solutions.
Key responsibilities:
- Design, build, and scale cloud-based data platforms and pipelines for analytics, product, and operational use cases
- Own critical data workflows, ensuring reliability, performance, and quality across the data ecosystem
- Implement modern data solutions using tools like dbt, Databricks, and AWS data services
Required qualifications:
- 3 years of experience building and scaling cloud-based data platforms and pipelines
- Strong SQL and Python skills, focusing on automation, performance, and reliability
- Hands-on experience with modern data stack tools (dbt, Airflow, Databricks) and streaming systems (Kafka, Kinesis)
- Solid experience with AWS data services and ELT/ETL workflows
- Proficiency in CI/CD, Git, and infrastructure-as-code
Complete Job Description
The complete job description is available to members. Premium membership includes:
Full access to 47,955 remote jobs from human-vetted companies, updated daily
Resume Builder - AI-powered tool to craft, enhance, and tailor your resume to a specific job
Twice-monthly live group coaching and the full Remote Career Center
20% member discount on Career Services
Backed by a 30-day money-back guarantee
Company Company Name
Headquarters Headquarters
Founded Founded
Website
The company description is available to members. Go Premium for full access to every job and company profile in our remote jobs database, backed by a 30-day money-back guarantee.
