Senior Data Engineer (Azure)

TL;DR

Senior Data Engineer (Azure): Designing, developing, and optimizing large-scale data infrastructure and pipelines for client integrations with an accent on scalable data architecture and ETL/ELT processes. Focus on building robust pipelines using Azure services, leading complex data initiatives, and mentoring junior engineers.

Location: Remote (Must be based in the US)

Salary: $140,000

Company

A rapidly growing healthcare workforce solutions provider that delivers tech-enabled marketplaces and contingent labor management through a proprietary software platform.

What you will do

• Lead the design and implementation of scalable, robust data architectures for enterprise-level solutions.
• Design, build, and maintain complex ETL/ELT pipelines integrating data from APIs, cloud platforms, and databases.
• Own and deliver high-impact, complex data engineering projects end-to-end.
• Provide technical guidance and mentorship to junior and mid-level data engineers.
• Establish and enforce data engineering best practices, standards, and governance.
• Optimize data pipeline performance, reliability, and security through Azure policies.

Requirements

• Bachelor’s degree in computer science, information systems, or a related field.
• 6+ years of experience in cloud data architecture, design, and data governance.
• Strong experience with Azure cloud services (Data Lake Storage, Data Factory, Synapse).
• Proficiency in SQL, Python, Scala, or Java.
• Experience with big data frameworks such as Apache Spark, Hadoop, or Apache Kafka on Azure.
• Ability to lead complex projects and explain technical designs to non-technical stakeholders.

Culture & Benefits

• Free premium medical, dental, life, and vision insurance.
• Generous 401(k) match.
• Unlimited DTO (Discretionary Time Off).
• Paid sick leave in accordance with applicable laws.
• Company-sponsored virtual events, happy hours, and team-building activities.
• Daily virtual yoga, meditation, or boot camp classes.