Big Data Engineer

About the Company:


Avalon Healthcare Solutions, headquartered in Tampa, Florida, is the world’s first and only Lab Insights company, bringing together our proven Lab Benefit Management solutions, lab science expertise, digitized lab values, and proprietary analytics to help healthcare insurers proactively inform appropriate care, reduce costs, and improve clinical outcomes. Working with health plans across the country, the company covers more than 36 million lives and delivers 7-12% outpatient lab benefit savings. Avalon is pioneering a new era of value-driven care with its Lab Insights Platform that captures, digitizes, and analyzes lab results in real time to provide actionable insights for earlier disease detection, ensuring appropriate treatment protocols, and driving down overall cost.

Studies show that 30% of clinical laboratory testing is unnecessary or overused. Inappropriate testing or missing a key screening can lead to complications and expense arising from unwarranted care, or not obtaining proper care when needed, leading to increased health risks and costs. Avalon helps ensure delivery of the right test, at the right time, and in the right setting. We seek to ensure the most effective patient treatment, improve clinical outcomes, and optimize cost and affordability.

Avalon is a portfolio company of Francisco Partners, a global private equity firm that specializes in investments in technology and technology-enabled service companies.

Avalon is a high growth company where every associate has an opportunity to make a difference. You will be part of a team that shapes a new market and business. Most importantly, you will help Avalon to achieve its mission and improve clinical outcomes and health care affordability for the people we serve.

For more information about Avalon, please visit www.avalonhcs.com.

Avalon Healthcare Solutions is proud to be an equal opportunity employer including disability/veteran. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

About the Data Engineer Position:

Within the analytics department, the Data Engineer will aid teammates by using various methods to transform raw data into useful data systems, prepping data for modeling, and constructing maintaining the infrastructure used for analytics. The Data Engineer will also be responsible for assessing and reporting on data quality and striving for efficiencies by aligning data systems with business goals. This position entails ensuring the reporting team and business owners have valid and reliable data available for consumption by internal and external clients.

Customer Relationship
Personal Evolution
Autonomy
Administrative Work
Technical Expertise

Data Engineer – Essential Responsibilities:

  • Acquire data to meet project requirements
  • Analyze and organize raw data
  • Build data systems and pipelines to generate reliable and repeatable processes to onboard data
  • Evaluate business needs and objectives
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Explore ways to enhance data quality, integrity, and reliability
  • Identify opportunities for data acquisition
  • Curate data for advanced analytics and data science
  • Develop analytical tools and programs
  • Collaborate with team members on several projects at once
  • Employ strong analytical and organizational skills and attention to detail
  • Integrate model outputs with visualization and BI tools

Data Engineer – Minimum Qualifications:

  • Bachelor’s degree in relevant field, or relevant experience
  • 5+ years of relevant work experience
  • Strong, hands-on experience with SQL data management and database design, including SSAS and SSRS
  • Excellent problem solving and communication skills
  • Experience with data warehousing and ETL
  • Desire to learn new software and methods
  • Familiar with cloud service offerings such as Azure, AW

Data Engineer – Minimum Qualifications:

  • Healthcare experience – pharmacy, managed care, health plans, hospitals, pharmaceuticals
  • Previous experience as a data engineer or in a similar role
  • DBA Experience is a real plus
  • Excellent numerical and analytical skills
  • Experience in big data applications and platforms such Snowflake and Databricks is a plus
  • Experience in data dashboarding in PowerBI