Senior Data Engineer, Remote - HIPAA/Healthcare

CyberCoders; United States; Remote; USD 171,000 - 209,000; Full time

Benefits offered by this job

Medical/Dental/Vision

401K with 40% match up to first 6%

PTO, Holidays, Personal Days

Job summary

CyberCoders is seeking a Senior Data Engineer to lead design, development, and optimization of cloud-based data platforms in a healthcare-regulated context. You will build scalable data pipelines, centralized lakehouse architecture, and NLP/AI-enabled data solutions, while mentoring engineers and ensuring governance and security compliance.

The role emphasizes Databricks, Spark, AWS, and modern orchestration tools, with a fully remote arrangement and compensation up to $190,000 depending on

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related technical discipline.
• 7+ years of professional data engineering experience.
• 3+ years working with cloud-native data lake or lakehouse architectures.
• Experience building and supporting large-scale enterprise data platforms.
• Healthcare or regulated industry experience preferred.

Responsibilities

• Design and develop scalable batch and real-time data pipelines using Databricks, Spark, Delta Lake, and AWS services.
• Lead the evolution of a centralized lakehouse platform, including data modeling, governance, optimization, metadata management, and metrics layers.
• Build and support ETL/ELT workflows utilizing Airflow, dbt, AWS Step Functions, and modern orchestration frameworks.
• Develop streaming data solutions using Kafka and Kinesis for high-volume event processing.
• Partner with Data Science and AI teams to support feature stores, model scoring pipelines, and machine learning enablement.
• Build infrastructure supporting NLP and generative AI applications, including vector databases, document ingestion pipelines, knowledge repositories, and RAG-based architectures.
• Develop APIs and data integrations that support business applications, analytics platforms, CRM systems, and external data exchange.
• Implement data security, governance, privacy controls, audit logging, and regulatory compliance standards.
• Design and maintain enterprise reporting infrastructure supporting automated report generation and multi-format delivery.
• Conduct code reviews, mentor junior engineers, promote engineering best practices, and contribute to technical roadmap planning.

Skills

Databricks

Apache Spark

Python

SQL

Leadership

AWS

ETL/ELT

Airflow

dbt

Kubernetes

Education

Bachelor's or Master's in CS/Data Engineering/Info Systems

Tools

Airflow

dbt

Kubernetes

Docker

Spark/Databricks Workflows

Job description

CyberCoders is seeking a Senior Data Engineer to lead design, development, and optimization of cloud-based data platforms in a healthcare-regulated context. You will build scalable data pipelines, centralized lakehouse architecture, and NLP/AI-enabled data solutions, while mentoring engineers and ensuring governance and security compliance.

The role emphasizes Databricks, Spark, AWS, and modern orchestration tools, with a fully remote arrangement and compensation up to $190,000 depending on