Data Engineer II - Healthtech (Remote)

Haystack • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Seeking a Data Engineer II to build and optimize scalable data solutions using Python, Azure Data Factory, and Databricks. Responsibilities include developing data pipelines, designing architecture, and performing data wrangling for AI applications. Requires 3+ years of experience with large-scale data warehouses, Python, SQL, Azure Data Factory, and Databricks.

Key Highlights

Build and optimize scalable data solutions for healthtech payments.

Develop data pipelines, ETL processes, and data architecture using Python, Azure Data Factory, and Databricks.

Requires 3+ years of experience with large-scale data warehouses and cloud-based data architecture.

Key Responsibilities

Develop, test, and maintain scalable data pipelines and ETL processes within a high-volume Azure environment.

Design and implement system architecture and data flow strategies using T-SQL and SQL Server Management Studio (SSMS).

Perform complex data wrangling, including ingestion, transformation, and cleaning, to enable advanced AI and analytics applications.

Lead peer code reviews and collaborate with software engineers to ensure data consistency across the product suite.

Create custom reports and data visualizations for internal stakeholders and external healthcare partners.

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Technical Skills Required

Python Azure Data Factory Databricks T-SQL SQL Server Management Studio (SSMS) SQL

Benefits & Perks

Competitive salary range ($110,000 - $140,000)

401k with company match

Tuition reimbursement

Generous PTO

Paid Sick Leave

Parental Leave

Paid holidays

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Nice to Have

Familiarity with healthcare data governance standards (HIPAA/security protocols) and industry-specific datasets.

Experience with collaborative tools such as JIRA, Bitbucket, Red-Gate, and Agile methodologies.

Job Description

Data Engineer II | Remote

We're working with a tech-driven healthtech innovator dedicated to bringing transparency and AI-powered efficiency to healthcare payments on this exciting opportunity.

We are looking for a high-impact Data Engineer to build and optimize scalable data solutions using Python, Azure Data Factory, and Databricks. You will play a pivotal role in driving better healthcare outcomes by reducing system waste through robust data architecture and automated workflows.

The Role

• Develop, test, and maintain scalable data pipelines and ETL processes within a high-volume Azure environment.

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