Senior Data Engineer

IKS Health

Senior Data Engineer contributing to AI and machine learning infrastructure at IKS Health. Building and maintaining cloud-based data platforms for diverse healthcare datasets.

Posted 6/16/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $135,000 - $165,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheBigQueryCloudDockerETLGoogle Cloud PlatformKubernetesPythonSQLTerraformVault

About the role

Key responsibilities & impact

Design, develop, and maintain robust ELT/ETL pipelines ingesting clinical, claims, and operational data.
Build and optimize data models in cloud-based data warehouses to support analytics, reporting, and ML workflows.
Implement and manage orchestration frameworks to ensure reliable, monitored, and observable data workflows.
Architect and provision cloud data infrastructure on GCP using infrastructure-as-code tools.
Optimize cloud resource usage for cost efficiency without compromising performance or reliability SLAs.
Ensure all data systems comply with HIPAA, HITECH, and applicable state privacy regulations.
Work with clinical and compliance teams to maintain data governance standards.
Implement data quality frameworks and validation rules to detect anomalies.
Partner with data scientists, analysts, and ML engineers to design datasets and feature stores.

Requirements

What you’ll need

5+ years of professional data engineering experience, with at least 2 years focused on cloud-native environments.
Advanced proficiency in Python and SQL for data pipeline development and transformation logic.
Hands-on experience with a modern data warehouse platform (Snowflake, BigQuery, or Redshift).
Experience with dbt (data build tool) or equivalent transformation frameworks.
Demonstrated knowledge of healthcare data standards, including HL7 FHIR, and familiarity with HIPAA compliance requirements.
Strong experience with workflow orchestration tools such as Apache Airflow, Prefect, or Dagster.
Proficiency with infrastructure-as-code (Terraform or equivalent) and containerization (Docker, Kubernetes).
Solid understanding of data modeling principles, including dimensional modeling and data vault techniques.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.

Benefits

Comp & perks

healthcare
401 (k)
paid time off

ATS Keywords

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Hard Skills & Tools

PythonSQLdata pipeline developmentdata transformation logicdata modelingdimensional modelingdata vault techniquesdata quality frameworksvalidation rulescloud-native environments

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Software Engineering