Data Engineer II

Valenz
Phoenix, AZ, US
Full-time
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Job Description

Job Description

Valenz® Health simplifies the complexities of self-insurance for employers through a steadfast commitment to data transparency and decision enablement powered by its Healthcare Ecosystem Optimization Platform.

Offering a strong foundation with deep roots in clinical and member advocacy, alongside decades of expertise in claim reimbursement and payment validity, integrity, and accuracy, as well as a suite of risk affinity solutions, Valenz optimizes healthcare for the provider, payer, plan, and member.

By establishing true transparency and offering data-driven solutions that improve cost, quality, and outcomes for employers and their members, Valenz engages early and often for smarter, better, faster healthcare.

About Our Opportunity :

The Data Engineer will 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 rest of the analytics teams in a useable 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 Integration 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 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
  • Education (Bachelor’s degree or greater, or equivalent practical experience) in a quantitative field such as statistics, mathematics, engineering, or computer science

A plus if you have :

Our infrastructure consists of a hybrid solution (traditional hosting + cloud hosting) that uses the technologies below. Ideal candidates will have experience with several of these.

While we use Azure for our cloud environment, experience with equivalent cloud services from AWS and / or Google is acceptable.

  • Delta Data Lakehouse
  • Databricks / Spark
  • SQL Server
  • Azure Blob Storage
  • Azure Data Factory
  • Azure Synapse Analytics
  • Python and Jupyter Notebooks
  • Version control systems (Git, Azure DevOps, etc)
  • Batch or streaming data ingestion
  • Experience interacting with APIs
  • Experience building workflows

Where You’ll Work :

This is a fully remote role!

Why You Will Love Working Here

We offer employee perks that go beyond standard benefits and compensation packages see below!

At Valenz, our team is committed to delivering on our promise to engage early and often for smarter, better, faster healthcare .

We want everyone engaged within our ecosystem to be strong, vigorous, and healthy. You’ll find limitless growth opportunities as we grow together.

If you're ready to utilize your skills and passion to make a significant impact in the healthcare self-funded space, Valenz might be the perfect place for you!

Perks and Benefits

  • Generously subsidized company-sponsored Medical, Dental, and Vision insurance.
  • 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, and Paid Holidays.
  • Paid maternity and paternity leave.
  • 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.

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7 days ago
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