Data Engineer II - Healthtech (Remote)

Haystack • United State
Remote
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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.
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
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.

• 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.


What You'll Need

• 3+ years of professional experience in Data Engineering, specifically working with large-scale data warehouses.

• Expert-level proficiency in Python, SQL, and Azure Data Factory for ETL development.

• Hands-on experience with Databricks and cloud-based data architecture (Microsoft Azure preferred).

• 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.


What's On Offer

• Competitive salary range ($110,000 - $140,000) with a 100% remote-first culture.

• Comprehensive benefits package including 401k with company match and tuition reimbursement.

• Generous PTO, Paid Sick Leave, Parental Leave, and paid holidays.

• Opportunity to work on cutting-edge AI projects within the vital healthcare sector.


Apply via Haystack today!


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