Remote Data Engineer I - Azure Databricks Lakehouse

Vālenz Health®; United States; Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical, Dental, Vision insurance

401K with company match

Paid time off

Parental leave

Remote work flexibility

Employee discounts

Job summary

Valenz Health is seeking a Data Engineer I to build and maintain scalable data pipelines in a cloud-based lakehouse environment. You’ll transform and validate healthcare data from multiple sources to enable analytics, reporting, and data-driven decisions.

This fully remote role requires 1+ years in data engineering, SQL and Python skills, and a collaborative mindset. We offer comprehensive benefits, a flexible work setup, and HIPAA-compliant policies for US-based employees.

Qualifications

• Bachelor's degree or equivalent practical experience in a quantitative field.
• 1+ years of data engineering, software development, data analytics, or similar.
• Working knowledge of SQL and Python for data manipulation.
• Experience developing ETL/ELT processes and data pipelines.
• Understanding of relational DBs, data modeling, and warehousing.

Responsibilities

• Develop, maintain, and enhance data pipelines from multiple sources.
• Support migration to a cloud lakehouse architecture (Azure Databricks, Delta Lake).
• Develop ETL/ELT processes using SQL, Python, PySpark, Spark SQL.
• Implement data quality checks and monitoring for pipelines.
• Collaborate with analysts, data scientists, and stakeholders to meet data needs.

Skills

SQL proficiency

Python proficiency

Data integrity

Attention to detail

Communication

Problem solving

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field

Tools

Azure Databricks

Delta Lake

Apache Airflow

Python

Spark SQL

Azure Data Lake Storage

Job description

Valenz Health is seeking a Data Engineer I to build and maintain scalable data pipelines in a cloud-based lakehouse environment. You’ll transform and validate healthcare data from multiple sources to enable analytics, reporting, and data-driven decisions.

This fully remote role requires 1+ years in data engineering, SQL and Python skills, and a collaborative mindset. We offer comprehensive benefits, a flexible work setup, and HIPAA-compliant policies for US-based employees.