Data Engineer

Job Description

We are seeking a highly skilled Data Engineer to join our Customer Solutions team reporting to Senior Director of Customer Solutions in the Midwest region for Quest Diagnostics. In this role, you will be responsible for designing, developing, testing, and deploying highly scalable, high performance data integration and transformation solutions in Quest’s enterprise data platform. This role will focus on building intelligent dashboards, automating operational workflows, and leveraging data insights to enhance decision making for both internal and external customers.

The ideal candidate combines technical expertise with strong self‑motivated autonomy, ownership mindset and a passion for innovation through data, technology and AI.

10% travel. Qualified candidates near a Quest laboratory location in the Midwest states are considered.

Eligible states:
Arkansas, Colorado, Illinois, Indiana, Iowa, Kansas, Kentucky, Michigan, Minnesota, Missouri, Montana, Nebraska, North Dakota, Ohio, Oklahoma, South Dakota, Utah, West Virginia, Wisconsin, Wyoming. Five main laboratories:
Lenexa, Wood Dale, St. Louis, Denver, Cincinnati.

Pay Range: $97,000 - $127,000 per year. Salary offers are based on factors including skills, training, experience, education, and certifications. Successful candidates may be eligible for an annual performance bonus.

• Medical/Prescription Drugs
• Dental
• Vision
• Flexible Spending Accounts (FSAs)
• Supplemental Health Plans
• 401(k) Plan – Company match dollar‑for‑dollar up to 5%
• Employee Stock Purchase Plan (ESPP)
• Supplemental Life Insurance
• Dependent Life Insurance
• Short‑ and Long‑Term Disability buy‑up
• Blueprint for Wellness
• Emotional Well‑Being Resources
• Educational Assistance
• Paid time off / Health Time
• Variable Compensation Plans
• Sales Incentive Plans

• Support and enable the development of Business Intelligence and Data Science solutions, design, build, and maintain interactive dashboards and reports using tools such as Tableau, Power BI, Alteryx, etc. for customer performance, financial, and operational insights.
• Develop algorithms and processes to transform data into useful, actionable information.
• Ensure data accuracy, accessibility, and visualization consistency across platforms.
• Automate recurring reporting processes to improve efficiency and timeliness.

• Understand requirements from operational and business teams to identify automation opportunities and streamline manual processes.
• Develop and optimize digital workflows for client onboarding, approval process, and reporting using tools such as UiPath, Power Automate, Alteryx, Salesforce, or similar CRM platforms.
• Manage data pipelines and integrations between multiple systems (UiPath, CRM, ERP, Salesforce, and reporting platforms).
• Ensure data governance, compliance, and quality across all sources.

• Use artificial intelligence and machine learning techniques to identify emerging trends, anomalies, and patterns in customer and financial data to create actionable insights.
• Provide data‑driven recommendations to highlight opportunities, risks, and areas that need attention.
• Collaborate with business and customer teams to translate insights into actionable strategies.
• Work closely with teams – Customer Solutions, Commercial, Billing, Finance, National – to understand business acumen and needs, delivering impactful technical data and digitized solutions for internal teams and enhancing external customer experience.
• Collaborate with other IT software engineers, architects, national RPA/AI teams to bring new perspectives to complex business problems.

• Take initiative in discussions and problem‑solving to understand business challenges and proactively propose data‑driven or automation‑based solutions.
• Operate with a high degree of autonomous motivation – don’t wait for a problem to come to you, seek problems to solve by yourself.
• Manage and prioritize projects independently from scoping to delivery, incorporate feedback loops, ensure timelines are met, and adjust to…