Senior Data Engineer

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. You will work on data migration and IT modernization initiatives and with business customers to design large-scale data processing solutions, develop data pipelines optimized for scaling, and designing, building, and implementing data-driven systems to guide Quest's reporting and analytics. This includes developing processes and solutions for mining, acquiring, transforming, standardizing, enhancing, migrating, verifying, and modeling Quest's enterprise data. In addition, you will enable and assist advanced analytics initiatives that are building, training, deploying, and refining AI/ML models that efficiently analyze vast quantities of data to best serve our patient population.

*Please note this position will be hybrid. The position can be based in one of the following locations; Secaucus NJ, Dallas TX, Schaumburg IL

Pay Range: $140,000 - $155,000 / year

Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation.

Benefits Information:

We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects - physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include:

• Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours
• Best-in-class well-being programs
• Annual, no-cost health assessment program Blueprint for Wellness
• healthyMINDS mental health program
• Vacation and Health/Flex Time
• 6 Holidays plus 1 "MyDay" off
• FinFit financial coaching and services
• 401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service
• Employee stock purchase plan
• Life and disability insurance, plus buy-up option
• Flexible Spending Accounts
• Annual incentive plans
• Matching gifts program
• Education assistance through MyQuest for Education
• Career advancement opportunities
• and so much more!

• Act as a trusted technical advisor to business customers and solve complex data challenges
• Develop algorithms and processes to transform data into useful, actionable information
• Support and enable the development of Business Intelligence and Data Science solutions
• Collaborate with management to understand technology and company strategies
• Collaborate with other software and data engineers to solve and bring new perspectives to complex problems
• Collaborate with architecture and lead engineers to ensure consistent development practices
• Ensure compliance with data governance and security policies
• Embrace new technologies and an ever-changing environment
• Perform and support unit and integration testing
• Drive improvements in people, processes, and technology

Required Work Experience:

• Prior Healthcare experience is needed
• Previous experience working with HL7
• 5+ years of data development experience
• 5+ years of experience with the cloud (AWS, Azure and/or Google Cloud Platform)
• 5+ years of experience in cloud-based data warehouses (Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse Analytics)
• 5+ years of experience with cloud-based ETL/ELT tools (Matillion, Glue, Data Factory) and data modelling

Preferred Work Experience:

• Exposure to version control systems (Git, SVN)
• Understanding of and willingness to embrace Agile Principles (Scrum)
• Prior experience in an environment supporting data monetization and data licensing business operations is ideal

Physical and Mental Requirements:

Open mindset, ability to quickly adapt new technologies and learn new practice

Knowledge:

• Demonstrated knowledge of SQL, Java, Python, C/C++, Scala, Julia, SAS and/or other modern data and analytics programming languages
• Demonstrated knowledge of operating systems (macOS, Microsoft Windows, Linux, Solaris and/or UNIX)

Skills:

• Coding
• Data Warehousing
• Database Systems
• Data Analysis
• Critical thinking skills
• Business communication