Sr. Data Engineer

Vālenz® Health is the platform to simplify healthcare – the destination for employers, payers, providers and members to reduce costs, improve quality, and elevate the healthcare experience. The Valenz mindset and culture of innovation combine to create a distinctly different approach to an inefficient, uninspired health system. With fully integrated solutions, Valenz engages early and often to execute across the entire patient journey – from care navigation and management to payment integrity, plan performance and provider verification. With a 99% client retention rate, we elevate expectations to a new level of efficiency, effectiveness and transparency where smarter, better, faster healthcare is possible.  

About Our Opportunity:
As a Senior Data Engineer, you’ll design and maintain high-performance data pipelines, automate processes, and implement scalable data storage solutions using Databricks on Azure. You will collaborate with cross-functional teams to enhance data processing, integrate new data sources, and apply best practices in data lake architecture, all while actively contributing to agile development processes. 

Things You’ll Do Here:

• Drive continuous improvement initiatives to enhance data processing capabilities across the organization. 
• Design and implement efficient, high-performance data ingestion pipelines from diverse sources utilizing Databricks on Azure. 
• Develop and maintain reliable data pipelines, automating manual processes to improve efficiency and scalability. 
• Collaborate with the Data Engineering team to design and support robust processes for loading data into relational, dimensional, and NoSQL database systems. 
• Implement best practices in data lake architecture to ensure scalable, standardized, and optimized data storage and processing solutions. 
• Partner with cross-functional teams to identify, evaluate, and acquire new data sources that align with organizational objectives. 
• Actively participate in agile development processes, contributing to sprint planning, refinement, and delivery of high-quality solutions. 

Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties.

What You’ll Bring to the Team:

• 4+ years experience in a highly technical and hands-on data engineering, or data science role. 
• Proficiency with Databricks and/or PySpark is a strong advantage. 
• Hands-on experience in developing ETL processes. 
• Familiarity with Data Lakehouse systems and/or migrating RDBMS to Lakehouse architectures.
• Strong organizational and time management skills to manage multiple projects with minimal supervision. 
• Ability to build and refine processes from the ground up. 
• Excellent problem-solving skills, with a keen ability to investigate beyond initial findings. 
• Exceptional attention to detail, with a commitment to testing and validating results. 
• Comfortable working with unstructured data and navigating ambiguous outcomes. 

A plus if you have:

• Bachelor’s degree in a quantitative field such as statistics, mathematics, engineering, or computer science.
• Knowledge of common healthcare data types (e.g., medical claims, eligibility, provider networks, Rx claims) from various sources. 
• Python or Databricks certifications

 

Where You’ll Work: This is a fully remote position, and we’ll provide all the necessary equipment!  

• Work Environment: You’ll need a quiet workspace that is free from distractions. 
• Technology: Reliable internet connection—if you can use streaming services, you’re good to go! 
• Security: Adherence to company security protocols, including the use of VPNs, secure passwords, and company-approved devices/software. 
• Location: You must be US based, in a location where you can work effectively and comply with company policies such as HIPAA. 

 

Why You Will Love Working Here

<