Senior Corporate FP&A Analyst
•Lambda· 1d
🏷️ Data Science⏰ Full-time⭐ Senior💰 $169k-197k🇺🇸 San Francisco, USA
1d ago
Neuehealth·10 days ago
WHO WE ARE
NeueHealth is a value-driven healthcare company grounded in the belief that all health consumers are entitled to high-quality, coordinated care. By uniquely aligning the interests of health consumers, providers, and payors, we help to make healthcare accessible and affordable to all populations across the ACA Marketplace, Medicare, and Medicaid.
NeueHealth delivers clinical care to health consumers through our owned clinics – Centrum Health and Premier Medical – as well as unique partnerships with affiliated providers across the country. We also enable providers to succeed in performance-based arrangements through a suite of technology and services scaled centrally and deployed locally. Through our value-driven, consumer-centric approach, we are committed to transforming healthcare and creating a better care experience for all.
JOB SUMMARY
Senior Data Engineers spend most of their time hands-on in the creation, feature development, and subsequent maintenance of NeueHealth properties. The more senior their level, the more that individual will assist in the continuous improvement of the team's productivity and overall design of our systems. Additionally, senior talent plays a key role in building and maintaining a culture which focuses on making sure every engineer progresses in their career in line with personal goals/expectations.
Preferred locations for candidates are MN and TX.
DUTIES & RESPONSIBILITIES
EDUCATION AND PROFESSIONAL EXPERIENCE
• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or equivalent experience required.
• Around Five (5) years of experience in an enterprise or commercial software development environment. Healthcare IT background is highly preferred.
• Enterprise development experience coding in Scala.
• Experience building batch and streaming data pipelines (Scala).
• Experience with API design.
• Extensive experience developing data-intensive solutions in a Cloud environment.
• Extensive experience developing solutions that use event sourcing and/or Big Data architectures.
Preferred Qualifications:
• Experience engineering big-data solutions using technologies like Databricks, Hive, and Spark.
• Experience with functional programming in Scala and C#
• Experience building distributed systems with microservices and/or service-oriented architectures
• Experience working within an Azure environment. Hands on Azure admin and DevOps experience is a plus.
• Familiarity with containerization/virtualization, e.g., Docker, Kubernetes
• Familiarity with Databricks infrastructure management
• Familiarity with CI/CD best practices