Senior Data Engineer

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.    

This is a work from home position.  Preferred locations for applicants are TX, MN, FL.

DUTIES & RESPONSIBILITIES 

• Write traditional code and server-less functions using the language best suited for the task, which is primarily Scala.  May include development with C# and T-SQL.  
• Build APIs, data microservices and ETL pipelines, to share data with internal and external partners and write interfaces to public data sets to enrich our analytics data stores.
• Develop and optimize processes for fine-tuning large language models (LLMs) and implementing Retrieval-Augmented Generation (RAG) frameworks to enhance AI-driven solutions.   
• Build and support Data Ingestion frameworks deployed in Azure.
• Participate in building and owning a culture of DevOps and Quality Assurance.
• Act as tech lead on projects and guide junior engineers.
• Continuously document your code, framework standards, and team processes.

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 data engineering role in an Azure environment. Healthcare IT background is preferred.
•    Enterprise development experience coding in Scala and building batch and streaming data pipelines (Scala).
•    Experience with API design.
•    Extensive experience developing data-intensive solutions in an Azure Cloud environment.
•    Extensive experience developing solutions that use event sourcing and/or Big Data architectures.

PREFERRED EXPERIENCE

• 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 with MLOps or LLMOps for deploying and managing machine learning workflows
• 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

A reasonable estimate of the compensation range for this position is $130,000 - $195,000. Actual compensation will vary based on the applicant’s education, experience, skills, and abilities, as well as internal equity.

Additionally, employees are eligible for health benefits; life and disability benefits, a 401(k) savings plan with match; Paid Time Off, and paid holidays.