Senior Data Engineer

Quantum Technologies LLC; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Quantum Technologies LLC invites an experienced Senior Data Engineer to join our Enrolment as a Product Platform team in New York. You will build a modern, scalable healthcare enrollment data platform using Databricks and PySpark.

The role focuses on delivering X12 EDI 837/835 processing capabilities, working with Delta Lake and Apache Spark to handle high-volume enrollment, eligibility, and claims data while ensuring HIPAA compliance and data security.

Qualifications

• 6+ years of experience in Data Engineering.
• Strong hands-on experience with Databricks, Delta Lake, Spark, and Notebooks.
• Proficiency with X12 EDI standards – 837, 835, and 834.
• Python and PySpark experience required.
• Experience building and maintaining high-volume data pipelines.
• Healthcare domain experience with HIPAA, PII, PHI compliance.
• Familiarity with healthcare enrollment and eligibility data workflows.
• Ability to work independently in a fast-paced environment.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and support X12 EDI processing capabilities, particularly 837, 835, and 834 transactions.
• Work with Delta Lake, Apache Spark, Databricks Notebooks, and Pipelines.
• Process and transform healthcare enrollment, eligibility, and claims-related data.
• Ensure data security and compliance with HIPAA guidelines, including PII and PHI handling.
• Troubleshoot, optimize, and maintain existing data pipelines.
• Work independently in a fast-paced program environment.

Skills

Databricks

Delta Lake

Apache Spark

Notebooks

Pipelines

X12 EDI 837/835/834

Python

PySpark

HIPAA

PII/PHI handling

Healthcare domain

Tools

Databricks Notebooks

Job description

We are looking for an experienced Senior Data Engineer to join our Enrolment as a Product Platform team. The candidate will contribute to building a modern, scalable healthcare enrollment data platform using Databricks.

The immediate priority is developing and delivering X12 EDI 837/835 processing capabilities. The ideal candidate should have strong hands-on experience with Databricks, PySpark, Python, and healthcare EDI standards.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and support X12 EDI processing capabilities, particularly 837, 835, and 834 transactions.
• Work with Delta Lake, Apache Spark, Databricks Notebooks, and Pipelines.
• Process and transform healthcare enrollment, eligibility, and claims-related data.
• Ensure data security and compliance with HIPAA guidelines, including PII and PHI handling.
• Troubleshoot, optimize, and maintain existing data pipelines.
• Work independently in a fast-paced program environment.

Required Skills:

• 6+ years of experience in Data Engineering.
• Strong hands-on experience with Databricks (Delta Lake, Spark, Notebooks, Pipelines).
• Strong working knowledge of X12 EDI standards – 837, 835, and 834.
• Proficiency in Python and PySpark.
• Experience building and maintaining high-volume, production-grade data pipelines.
• Healthcare domain experience with knowledge of PII, PHI, and HIPAA compliance.
• Familiarity with healthcare enrollment and eligibility data workflows.
• Ability to work independently and deliver in a fast-paced environment.

Good to Have:

• Previous experience with healthcare clearinghouse integrations.
• Experience with healthcare EDI transaction processing and integrations.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.