Sr. Data Engineer at Quest Analytics

Overland Park, Kansas, United States

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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

Key technologies and capabilities for this role

Azure Data FactoryDatabricksPythonSparkSQLC#ScalaSSMS

Questions & Answers

Common questions about this position

What skills and experience are required for the Senior Data Engineer role?

Candidates need a Bachelor’s Degree in Computer Science or equivalent, 3–5 years of ETL and data operations experience preferably in healthcare, strong SQL skills, proficiency in Python (C# or Scala), Azure Data Factory, ADLS, Spark, Databricks, and experience with relational and NoSQL databases.

What is the work environment like at Quest Analytics?

The environment is innovative, collaborative, challenging, and flexible, supporting personal growth, with a focus on upholding company values and contributing to a positive culture.

Is this a remote position, or is there an office requirement?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Senior Data Engineer position?

Strong candidates are self-motivated problem-solvers who thrive in fast-paced environments, have excellent troubleshooting and analytical skills, and bring a customer-focused, collaborative team-oriented approach, especially with healthcare data experience.

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