Data Engineer

At Quest Analytics, our mission is to make healthcare more accessible for all Americans. As part of our team, you’ll work in an innovative, collaborative, challenging, and flexible environment that supports your personal growth every day. We are looking for a talented and motivated Data Engineer with experience in building scalable infrastructure, implementing automation, and enabling cross-functional teams with reliable and accessible data.

The Data Engineer will run daily operations of the data infrastructure, automate and optimize our data operations and data pipeline architecture while ensuring active monitoring and troubleshooting. This hire will also support other engineers and analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Review project objectives and determine the best technology for implementation. Implement best practice standards for development, build and deployment automation.
• Run daily operations of the data infrastructure and support other engineers and analysts on data investigations and operations.
• Monitor and report on all data pipeline tasks while working with appropriate teams to take corrective action quickly, in case of any issues.
• Work with internal teams to understand current process and areas for efficiency gains
• Write well-abstracted, reusable, and efficient code.
• Participate in the training and/or mentoring programs as assigned or required.
• Adheres to the Quest Analytics Values and supports a positive company culture.
• Responds to the needs and requests of clients and Quest Analytics management and staff in a professional and expedient manner.

• Bachelor's degree in computer science or related field.
• 3 years of work experience with ETL, data operations and troubleshooting, preferably in healthcare data.
• Proficiency with Azure ecosystems, specifically in Azure Data Factory and ADLS.
• Strong proficiency in Python for scripting, automation, and data processing.
• Advanced SQL skills for query optimization and data manipulation.
• Experience with distributed data pipeline tools like Apache Spark, Databricks, etc.
• Working knowledge of database modeling (schema design, and data governance best practices.)
• Working knowledge of libraries like Pandas, numpy, etc.
• Self-motivated and able to work in a fast paced, deadline-oriented environment
• Excellent troubleshooting, listening, and problem-solving skills.
• Proven ability to solve complex issues.
• Customer focused.

• Workplace flexibility – you choose between remote, hybrid or in-office
• Company paid employee medical, dental and vision
• Competitive salary and success sharing bonus
• Flexible vacation with no cap, plus sick time and holidays
• An entrepreneurial culture that won’t limit you to a job description
• Being listened to, valued, appreciated -- and having your contributions rewarded
• Enjoying your work each day with a great group of people

Apply TODAY!

For more than 20 years, we’ve been improving provider network management one groundbreaking innovation at a time. 90% of America’s health plans use our tools, including the eight largest in the nation. Achieve your personal quest to build a great career here.

Visa sponsorship is not available at this time.

Preferred work locations are within one of the following states:
Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois (outside of Chicago proper), Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, or Wyoming.

Quest Analytics provides equal employment opportunities to all people without regard to race, color, religion, sex, national origin, ancestry, marital status, veteran status,…