Healthcare Data Engineer - ETL, Modeling & AI Ready

Zoho; Catonsville (MD); On-site; USD 110,000 - 160,000; Full time

Job summary

Zoho in Catonsville, MD is seeking a hands-on Data Engineer / Data & AI Engineer to build scalable data pipelines and analytical data models supporting healthcare payer operations and AI-driven products. You will combine strong data engineering, ETL/ELT, and data modeling skills with exposure to AI/ML and modern data platforms.

Ideal candidates have experience with healthcare payer data and a track record of turning complex data into scalable architectures, APIs, and cloud-based pipelines.

Qualifications

• 3+ years of experience in data engineering, ETL/ELT, or data platform development.

Responsibilities

• Design and build scalable data pipelines, ETL/ELT workflows, and data integration frameworks.
• Develop and maintain analytical and operational data models for claims, provider, member, pharmacy, and related healthcare data.
• Work with structured and semi-structured data across APIs, databases, files, and cloud platforms.
• Ensure data quality, lineage, performance, reliability, and observability across pipelines.
• Support AI/ML use cases by preparing data sets, feature pipelines, inference data flows, and model-ready data.
• Collaborate with AI, product, and engineering teams to operationalize data-driven solutions.
• Work with business and domain teams to translate healthcare requirements into scalable data architectures.

Skills

Data engineering

ETL/ELT

Data platform development

Python

SQL

Data pipelines

APIs

Relational databases

Data warehouse

Azure

AWS

Databricks

Snowflake

Redshift

Spark

Data modeling

Schema design

Transformation

Data quality

AI/ML

LLMs

Healthcare data

Health insurance

Job description

Zoho in Catonsville, MD is seeking a hands-on Data Engineer / Data & AI Engineer to build scalable data pipelines and analytical data models supporting healthcare payer operations and AI-driven products. You will combine strong data engineering, ETL/ELT, and data modeling skills with exposure to AI/ML and modern data platforms.

Ideal candidates have experience with healthcare payer data and a track record of turning complex data into scalable architectures, APIs, and cloud-based pipelines.