Senior Data Engineer (Azure)

TL;DR

Senior Data Engineer (Azure): Designing and maintaining scalable data architecture and ETL/ELT pipelines for healthcare analytics products with an accent on Databricks, Delta Lake, and Unity Catalog. Focus on evolving enterprise data strategy, implementing robust data governance, and mentoring engineering team members.

Location: Remote (USA)

Salary: $100,000–$120,000

Company

A leading provider of experience measurement and data analytics solutions for the healthcare industry, dedicated to improving human experiences through technology and data-driven insights.

What you will do

• Design and develop scalable data architecture, pipelines, and analytical solutions.
• Implement Data Lakehouse architecture using Databricks, Unity Catalog, and Delta Live Tables.
• Build and optimize data ingestion frameworks for structured and unstructured data.
• Collaborate with software, business, and data science teams to define storage and pipeline requirements.
• Implement CI/CD practices for data pipelines and ensure data quality, security, and reliability.
• Mentor and lead data engineers, providing training on standards and best practices.

Requirements

• Minimum 5 years of experience in Data Engineering within an enterprise environment.
• Must be based in the United States.
• Hands-on experience with Azure data technologies (Databricks, Data Factory, Synapse).
• Proficiency in Python, SQL, and distributed processing frameworks like Spark.
• Strong understanding of data modeling, schema design, and ETL best practices.
• Bachelor’s degree in technology or a related field.

Culture & Benefits

• Competitive base salary with eligibility for discretionary bonuses.
• Comprehensive benefits package including health insurance and retirement plans.
• Commitment to a diverse, inclusive, and authentic workplace.
• Focus on continuous learning, professional development, and collaborative team success.
• Opportunity to work on complex, high-impact healthcare data solutions.