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 Data Engineer II on our Healthcare Bluebook team here at Valenz, you’ll support our efforts to integrate, validate, enrich, and aggregate healthcare data for use by our analysts and data scientists. You’ll help find new and useful sources of information and lead the charge to go get it and make sure we can keep this data up to date over time. You will also help ensure this data is translated to the analytics teams in a usable format. You will be expected to master the intricacies of efficiently acquiring large amounts of data from various sources, designing pipelines to move that data to and from our hosted and cloud environments, and push the evolution of these processes to accommodate new types of data.
Things You’ll Do Here: - Support continuous improvements to data processing across the company
- Designing and implementing performant data ingestion pipelines from multiple sources using Databricks on Azure
- Build and maintain data pipelines and automate existing manual processes.
- Work with Data Engineering to build and maintain efficient processes for loading acquired data into our relational, dimensional, and no-SQL databases
- Implement data lake architecture best practices to ensure a standardized and scalable way that we store and process our data
- Work with other teams to identify new sources of data, and estimate feasibility of acquiring specific data sources
- Take an active role in agile processes
Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties.
What You’ll Bring to the Team:- 4+ years of work experience in a highly technical and hands-on data engineering, or data science role
- Experience working with Databricks and/or PySpark is a strong bonus.
- Experience in building ETL processes.
- Experience working with Data Lakehouse and / or migrating RDBMS systems to a Lakehouse.
- Experience working with the most common types of healthcare data (medical claims, eligibility, provider network rosters, Rx claims, etc.) from a variety of sources.
- Strong organizational skills and time management capacity to balance multiple projects with limited supervision.
- Ability to build and re-evaluate a process from the ground up.
- Strong investigative skills with ability to search beyond the initial results.
- Have a fanatical attention to detail, with overwhelming desire to test and double-check your own results.
- Comfortable working with messy data and ambiguous results
A plus if you have:- Bachelor’s degree in Computer Science or similar.
- While we use Azure for our cloud environment, experience with equivalent cloud services from AWS and/or Google is acceptable.
- Experience with the following:
- Delta Data Lakehouse
- Databricks / Spark
- Batch or streaming data ingestion
- Blob Storage
- Azure Data Factory
- Azure Synapse Analytics
- SQL Server
- Python and Jupyter Notebooks
- Version control systems (Git, Azure DevOps, etc)
- Experience interacting with APIs
- Experience building workflows
- .NET Framework and C#
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
Valenz is proud to be recognized by Inc. 5000 as one of America’s fastest-growing private companies. Our team is committed to delivering on our promise to engage early and often for smarter, better, faster healthcare. With this commitment, you’ll find an engaged culture – one that stands strong, vigorous, and healthy in all we do.
Perks and Benefits
- Generously subsidized company-sponsored Medical, Dental, and Vision insurance, with access to services through our own products, Healthcare Blue Book and KISx Card.
- Spending account options: HSA, FSA, and DCFSA
- 401K with company match and immediate vesting
- Flexible working environment
- Generous Paid Time Off to include vacation, sick leave, and paid holidays
- Employee Assistance Program that includes professional counseling, referrals, and additional services
- Paid maternity and paternity leave
- Pet insurance
- Employee discounts on phone plans, car rentals and computers
- Community giveback opportunities, including paid time off for philanthropic endeavors
At Valenz, we celebrate, support, and thrive on inclusion, for the benefit of our associates, our partners, and our products. Valenz is committed to the principle of equal employment opportunity for all associates and to providing associates with a work environment free of discrimination and harassment. All employment decisions at Valenz are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics.
