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Senior Data Engineer
IKS HealthSenior Data Engineer at IKS Health developing AI and machine learning infrastructure. Design and maintain cloud data infrastructure with a strong healthcare data focus.
Posted 6/4/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $135,000 - $165,000 per yearWebsite
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheBigQueryCloudDockerETLGoogle Cloud PlatformKubernetesPythonSQLTerraform
About the role
Key responsibilities & impact- contribute to the development and deployment of AI and machine learning infrastructure
- Design, develop, and maintain ELT/ETL pipelines
- Build and optimize data models in cloud-based data warehouses
- Architect and provision cloud data infrastructure on GCP
- Ensure all data systems comply with HIPAA and HITECH regulations
- Implement data quality frameworks and validation rules
- Partner with data scientists, analysts, and ML engineers
Requirements
What you’ll need- 5+ years of professional data engineering experience
- Advanced proficiency in Python and SQL
- Hands-on experience with a modern data warehouse platform (Snowflake, BigQuery, or Redshift)
- Experience with dbt (data build tool)
- Knowledge of healthcare data standards and HIPAA compliance
- Strong experience with workflow orchestration tools (Apache Airflow, Prefect, or Dagster)
- Proficiency with infrastructure-as-code (Terraform) and containerization (Docker, Kubernetes)
- Solid understanding of data modeling principles
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
Benefits
Comp & perks- healthcare
- 401 (k)
- paid time off
ATS Keywords
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Hard Skills & Tools
PythonSQLELTETLdata modelingdbtworkflow orchestrationinfrastructure-as-codeTerraformcontainerization