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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.

Your responsibilities will include:

• Pipeline Development: Define and execute processes needed to develop, test, deploy, and maintain high quality data pipelines. Oversee the end-to-end development of data pipelines from source data extraction through to production-grade analytical dataset delivery, ensuring data quality and security throughout the pipeline.
• Performance Optimization: Continuously monitor and optimize data processing performance and efficiency. Identify and address bottlenecks, optimize query performance, and improve overall system stability.
• Data Governance: Establish and enforce data quality management policies, data access controls, and data privacy standards.
• Technical Leadership: Stay abreast of the latest developments in engineering tools and best practices. Provide guidance to the team about technical challenges.
• Strategy Creation: Collaborate with cross-functional teams to define the data engineering strategy aligned to business objectives, including data modeling that unifies data assets across a range of source systems used to manage the operations of our partnering hospitals.
• Documentation: Maintain clear and comprehensive documentation of data pipelines, architecture, and processes to ensure knowledge sharing and team continuity.
• Third-party Management: Evaluate and manage relationships with third-party vendors and tools, making informed decisions about when to leverage external solutions.

What you need to be considered:

• 3+ years in data engineering roles in a production environment
• Advanced proficiency in Python and SQL for data engineering
• Up-to-date knowledge of and 1+ years of experience using Databricks for Lakehouse management
• Deep understanding of data modeling, data architecture, and data integration best practices
• Strong hands-on experience with Apache Spark
• Familiarity with data governance, security, and privacy principles
• Comfort using git or equivalent to manage the software development life cycle
• Exceptional ability to learn and use new software development techniques and tools
• Ability to manage multiple projects simultaneously
• High energy, humble team player with “get it done” attitude, seeking collaboration with colleagues

Preferred Qualifications

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

What’s in it for the right candidate:

• Competitive salary and benefits, including medical and 401(k) plan with a company match
• Unlimited PTO
• Growth opportunities
• A fun, casual environment that values independent thought and an ownership approach to working
• Ability to make a significant impact on the growth of the company in a newly created role

Bachelor’s Degree