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Quest Diagnostics

Data Engineer

Quest Diagnostics, Wood Dale, Illinois, us, 60399

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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. Location & Travel

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. Compensation

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. Benefits

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 Responsibilities

Dashboard & Reporting Development

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. Operational Workflow Automation & Data Engineering

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. Data Analysis & AI Integration

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. Project Ownership & Delivery

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 changing priorities. Conduct quick agile product roll‑outs, test, learn, and continuously improve with stakeholder feedback. Qualifications

Required Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field Required Work Experience

Strong experience in functional requirements gathering via stakeholder interviewing to understand business needs and translate them into technical solutions promptly. 3-5 years’ experience with workflow automation tools such as Power Automate, Alteryx, UiPath. 3-5 years of experience in cloud‑based data warehouses such as Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse Analytics, etc. Strong proficiency in Tableau or Power BI for dashboard creation and storytelling. Proficiency in Python or R for data analysis/science and workflow automation. Proficiency and experience with SQL, ETL processes, and data modeling integrating data from multiple sources into a unified system. Preferred Work Experience

Exposure to version control systems such as Git or SVN. Understanding of and willingness to embrace Agile project management. Soft Skills

Self‑motivated and autonomous – takes ownership, stays focused, completes projects without needing much supervision. Curiosity and analytical mind – quickly adapts to new technologies and learns new practices. Collaborative. Proactive problem solver. Adaptable and agile. Result oriented. Customer focused. Strong communication and presentation skills. Prioritization and flexibility to business needs. About The Team

Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies and will not be responsible for agency fees. Equal Opportunity Employer

Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status. Seniority level

Mid‑Senior level Employment type

Full‑time Job function

Information Technology Industries

Medical and Diagnostic Laboratories

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