Sr. Data Engineer at Quest Analytics

Overland Park, Kansas, United States

Quest Analytics Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
HealthcareIndustries

Requirements

  • Bachelor’s Degree in Computer Science or equivalent education/experience
  • 3–5 years of experience with ETL, data operations, and troubleshooting, preferably in Healthcare data
  • Strong SQL development skills (SSMS, stored procedures, and optimization)
  • Proficiency in Python, C#, or Scala (experience with pandas and NumPy is a plus)
  • Solid understanding of the Azure ecosystem, especially Azure Data Factory and Azure Data Lake Storage (ADLS)
  • Hands-on experience with Azure Data Factory and ADLS
  • Familiarity with Spark, Databricks, and data modeling techniques
  • Experience working with both relational databases (e.g., SQL Server) and NoSQL databases (e.g., MongoDB)
  • Self-motivated, strong problem-solver, and thrives in fast-paced environments
  • Excellent troubleshooting, listening, and analytical skills
  • Customer-focused mindset with a collaborative, team-oriented approach

Responsibilities

  • Identify, design, and implement internal process improvements (e.g., automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability)
  • Transform manual SQL/SSMS/stored procedure workflows into automated pipelines using Azure Data Factory
  • Write clean, reusable, and efficient code in Python (and optionally C# or Scala)
  • Leverage distributed data tools such as Spark and Databricks for large-scale processing
  • Review project objectives to determine and implement the most suitable technologies
  • Apply best practice standards for development, build, and deployment automation
  • Manage day-to-day operations of the data infrastructure and support engineers and analysts with data investigations
  • Monitor and report on data pipeline tasks, collaborating with teams to resolve issues quickly
  • Partner with internal teams to analyze current processes and identify efficiency opportunities
  • Participate in training and mentoring programs as assigned or required
  • Uphold Quest Analytics values and contribute to a positive company culture
  • Respond professionally and promptly to client and internal requests
  • Perform other duties as assigned

Skills

Azure Data Factory
Databricks
Python
Spark
SQL
C#
Scala
SSMS

Quest Analytics

Healthcare network adequacy and optimization solutions

About Quest Analytics

Quest Analytics focuses on improving network adequacy and optimization in the healthcare industry. They provide advanced decision applications that assist clients, such as hospitals and health plans, in analyzing their provider networks. Their tools enable users to model networks, assess the effects of adding or removing providers, and identify gaps in coverage. This helps organizations comply with regulatory requirements and make informed decisions about their networks. Unlike many competitors, Quest Analytics combines software solutions with consulting services, generating revenue through subscriptions and consulting fees. They also offer educational events, like Quest Labs, to help clients learn and connect within the industry. The goal of Quest Analytics is to enhance the quality of care for patients by ensuring that healthcare organizations have efficient and compliant provider networks.

Appleton, WisconsinHeadquarters
2003Year Founded
$510.7KTotal Funding
ANGELCompany Stage
Consulting, HealthcareIndustries
201-500Employees

Benefits

Competitive salary
Success-sharing bonus
Company matching 401K and HSA Contribution
FSA, HSA and commuter benefits
100% company-paid high-deductible health plan, dental and vision for employee
PPO Plan option offered
Wellness benefits
Casual and fun work environment
Free gourmet coffee, drinks and snacks
Social and community outreach programs
Flexible work arrangements and telecommuting
Professional development and training
Monthly culture-building activities

Risks

Emerging platforms offering similar services at lower costs threaten market share.
Rapid AI advancements may outpace Quest Analytics' technological capabilities.
Partnership reliance poses risks if not renewed or partners develop in-house solutions.

Differentiation

Quest Analytics offers advanced decision applications for network adequacy and optimization.
Their integration with Motive Practicing Wisely enhances physician-specific data insights.
Quest Analytics' Provider Claims Insights tool provides comprehensive provider performance metrics.

Upsides

Integration of AI-driven analytics enhances decision-making in network performance.
Growing telehealth services increase demand for accurate provider data.
Focus on value-based care models drives need for comprehensive performance metrics.

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