Lead, Software Engineer

In this role reporting to the Director Master Data Products you will be responsible for designing developing testing and deploying highly scalable high-performance data integration and transformation solutions for Quests core Master Data Products (Patient Client Test Facility Eligibility Preferences Exclusions) within the Google Cloud Platform (GCP) ecosystem. You will lead a team of data engineers to design large-scale master data processing solutions and pipelines optimized for scaling. This includes developing automated processes for acquiring integrating transforming standardizing and verifying master and reference data from transactional systems to ensure these key data assets are accurate reliable and readily consumable for enterprise reporting AI/ML models and advanced analytics.

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!

• Hands-on Leadership: Act as a hands-on technology leader who can (and will) get your hands dirty in the master data engineering and development activities within the GCP environment.
• Team Management: Lead a team of data engineers and provide coaching and mentorship to build a positive and collaborative culture fostering the professional growth of your staff.
• Strategic Alignment: Collaborate with the Director Master Data Products to understand the roadmap and translate business needs into scalable data engineering solutions.
• Pipeline Development: Develop and maintain data pipelines to ensure seamless and accurate data flow from transactional systems (e.g. EPIC) to the GCP analytical environment.
• Data Governance & Quality: Ensure compliance with data governance security policies and data quality frameworks by building robust validation and standardization checks into master data pipelines.
• Technical Standards: Consistently define and apply GCP-centric technologies standards and data engineering best practices.
• Delivery Management: Manage the portfolio of requirements for your team coordinating activities with the MDM platform team architecture and business customers to ensure timely and quality delivery of master data assets.
• Advisory Role: Act as a trusted technical advisor to analytics and data science teams solving complex master data challenges and ensuring data is structured to support high-performance analytics.
• Continuous Improvement: Embrace new cloud technologies (specifically within GCP) perform and support unit/integration testingand drive improvements in people processes and technology.

Required Education:

• Bachelors Degree (Computer Science Engineering Information Systems Mathematics Business Analytics or relevant degree)

Preferred Education:

• Masters Degree (Computer Science Engineering Information Systems Mathematics Business Analytics or relevant degree)

Required WorkExperience:

• 7 years of data development and engineering experience.
• 2 years of technical leadership experience managing data engineering teams.
• 3 years of deep hands-on experience with the Google Cloud Platform (GCP) ecosystem.
• 3 years of experience in cloud-based data warehouses (strongly prefer Google BigQuery; Snowflake is a plus).
• 3 years of experience with cloud-based ETL/ELT data integration tools and building scalable data pipelines.
• Experience or strong familiarity with Master Data Management (MDM) concepts data quality and handling complex master data domains (Patient Client Test etc.).

Preferred Work Experience:

• Experience in the healthcare or life sciences industry.
• Exposure to version control systems (Git SVN).
• Understanding of and willingness to embrace Agile Principles (Scrum).

Knowledge:

• Demonstrated knowledge of SQL and modern data programming languages (Python Scala Java).
• Strong understanding of master data architecture data modeling and data lifecycle management in a cloud environment.

Skills:

• Cloud Data Engineering (GCP)

• Data Warehousing (BigQuery)

• Data Quality & Integration

• Coding & Scripting

• Critical Thinking

• Leadership & Mentoring

• Business Communication

Training or Professional Licensing:

• Certifications in cloud solutions specifically Google Cloud Platform (GCP) Professional Data Engineer.
• Agile or Project Management Professional (PMP) certification preferred.

#LI-RM1