Senior Data Engineer

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Key Highlights

Design and maintain robust data pipelines

Architect modern cloud infrastructure

Collaborate with data scientists, machine learning engineers, analysts, and business stakeholders

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Key Responsibilities

Design, develop, and maintain scalable ELT/ETL pipelines

Build and optimize cloud-based data warehouse solutions

Develop and manage workflow orchestration frameworks

Create and support real-time and streaming data architectures

Architect, deploy, and manage cloud-native data infrastructure

Implement modern data lake and lakehouse architectures

Ensure compliance with healthcare privacy and security regulations

Establish data quality standards, monitoring frameworks, observability solutions, and testing strategies

Technical Skills Required

Python SQL BigQuery Snowflake Amazon Redshift dbt Apache Airflow Prefect Dagster Terraform Docker Kubernetes HL7 FHIR ICD-10 SNOMED CT LOINC

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Benefits & Perks

Competitive annual salary ranging from $135,000 to $165,000

Fully remote work environment within the United States

Comprehensive healthcare coverage

401(k) retirement savings plan

Paid time off and company-sponsored leave programs

Job Description

Join a high-impact data engineering team focused on building scalable cloud-based data platforms that power advanced analytics, artificial intelligence, and machine learning solutions within the healthcare industry. In this role, you will design and maintain robust data pipelines, architect modern cloud infrastructure, and ensure the reliability, security, and quality of large-scale healthcare datasets. You will collaborate closely with data scientists, machine learning engineers, analysts, and business stakeholders to transform complex data into actionable insights. This position offers the opportunity to work with cutting-edge technologies in a mission-driven environment where innovation, technical excellence, and continuous improvement are highly valued. If you are passionate about cloud-native data engineering and solving complex data challenges at scale, this role provides an exciting opportunity to make a meaningful impact.

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