Senior Data Engineer

Ethereum Technologies LLC; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Ethereum Technologies seeks a Senior Data Engineer to join the Enrollment as a Product Platform team and build a modern, scalable healthcare enrollment data platform using Databricks.

The immediate priority is developing X12 EDI processing capabilities for 837/835/834 transactions, leveraging PySpark, Python, and Databricks.

Qualifications

• 6+ years of data engineering experience.
• Hands-on Databricks, Delta Lake, Spark, Notebooks, Pipelines.
• Strong Python and PySpark skills.
• Experience with X12 EDI 837/835/834 and HIPAA.
• Healthcare domain experience with PII/PHI handling.

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 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

PySpark

Python

X12 EDI

EDI 837/835/834

HIPAA

Data pipelines

PII/PHI handling

Healthcare domain

Tools

Databricks Notebooks

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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.