Senior Associate, Data & Analytics - Remote

The CFO of a dynamic, PE backed, $300MM medical practice group asked HireneXus to support them and the Director of Data & Analytics in their search for a Senior Data Engineer. This team member will report to the Director of Data & Analytics and build exceptional data capability for a multisite service provider. The right person would have the skills and experience necessary build, scale and maintain best-in-in class data infrastructure and a good background in the multisite service provider business.

Key Responsibilities:

• Pipeline Development: Design, test, deploy, and maintain high-quality data pipelines. Manage the entire development process from data extraction to the delivery of production-ready analytical datasets, ensuring data integrity and security.
• Performance Optimization: Monitor and enhance data processing performance and efficiency. Address bottlenecks, optimize queries, and ensure overall system stability.
• Data Governance: Implement and uphold data quality policies, access controls, and privacy standards.
• Technical Leadership: Stay updated on the latest engineering tools and best practices. Provide technical guidance to the team.
• Strategy Creation: Work with cross-functional teams to develop a data engineering strategy that aligns with business goals, including data modeling to unify data assets across various source systems used by our partner hospitals.
• Documentation: Create and maintain thorough documentation of data pipelines, architecture, and processes for knowledge sharing and continuity.
• Third-party Management: Assess and manage relationships with third-party vendors and tools, making informed decisions about external solutions.

Requirements:

• 3 years of experience in data engineering roles within a production environment.
• Advanced skills in Python and SQL for data engineering.
• Current knowledge of, and at least 1 year of experience with, Databricks for Lakehouse management.
• Strong understanding of data modeling, architecture, and integration best practices.
• Extensive hands-on experience with Apache Spark.
• Familiarity with data governance, security, and privacy principles.
• Proficiency with version control systems like Git.
• Exceptional ability to learn and utilize new software development techniques and tools.
• Ability to manage multiple projects simultaneously.
• High energy, team-oriented mindset with a proactive approach to collaboration.

Preferred Qualifications:

• Experience with the Azure cloud ecosystem.
• Experience developing production-ready, real-time machine learning model pipelines.
• Proficiency in the Apache Spark Structured Streaming paradigm.
• Experience in a private equity-backed services company.
• Experience deploying machine learning models with MLFlow or similar tools.
• Experience developing CI/CD pipelines.

Benefits for the Right Candidate:

• Competitive salary and benefits, including medical coverage and a 401(k) plan with company match.
• Unlimited PTO.
• Opportunities for growth.
• A fun, casual environment that values independent thought and ownership.
• The chance to make a significant impact on the company's growth in a newly created role.