Quest Analytics, LLC

DevOps Engineer

• Learn and help iterate on the design, implementation, and management of our CI/CD pipelines, automating build, test, and deployment processes to streamline software delivery and increase release velocity.
• Collaborate closely with development teams to define and refine source code branching and release strategies, promoting best practices for version control and release management.
• Learn how to proactively monitor and assess the health and performance of our cloud infrastructure, identifying opportunities for optimization and scalability enhancements.
• Learn and help implement robust monitoring solutions to detect and mitigate potential issues, minimizing system downtime and ensuring optimal performance for our applications and services.
• Learn and contribute to the design and evolution of our cloud architecture, leveraging best-in-class technologies and practices to build scalable, resilient, and secure systems.
• Drive the adoption of modern cloud-native technologies and patterns, such as containerization, to enhance agility and flexibility in our software development efforts.
• Serve as a liaison between support, development, and other cross-functional teams, facilitating communication and alignment on infrastructure requirements, dependencies, and priorities.
• Foster a culture of continuous improvement and knowledge sharing, empowering team members to leverage automation and self-service capabilities for enhanced productivity and effectiveness.
• Receive mentorship from senior members of the DevOps team who will provide guidance, support, and professional development opportunities to foster your growth and success.
• Promote a collaborative and inclusive team environment, encouraging open communication, mutual respect, and shared accountability among team members.
• Lead by example in embodying our organization's core values and cultural principles, inspiring and motivating team members to perform at their best and achieve their full potential.

Junior DevOps Engineer

Data Engineer

• 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’s culture.
• Responds to the needs and requests of clients and Quest Analytics management and staff in a professional and expedient manner.

Security Engineer

• Collaborates with Systems Administrators, DevOps Engineers, the Director of Security, Development personnel, and Legal, and HR associates to align security requirements to meet business objectives.
• Participates in monthly security reviews and provides oversight to application implementations through ongoing security design reviews and risk assessments in order to build security into solutions and to ensure compliance with industry and regulatory standards.
• Provides security support during vendor risk assessments.
• Viewed as a security expert across the organization, working with various technology team members to convey security best practices and communicate Quest Analytics security requirements.
• Owns, maintains and matures information security review processes and documentation.
• Plans the delivery and implementation of core information security projects and capabilities in relation to network connectivity, firewalls, threat analysis, encryption, and segmentation.
• Partners with technology and business partners to ensure compliance with policies and standards.
• Determines security requirements for internal and external projects via interpretation of policies and standards.
• Evaluates new technologies, processes, standards, and frameworks on an ongoing basis.
• Ensures capability readiness for security controls (people, process, and technology).
• Evaluates gaps in existing technologies and processes.
• Assists with the implementation, configuration, and operations of various security tools as required.
• Works with the organization to achieve and maintain industry security standards (HITRUST, FISMA, ISO etc.).

Full-stack Engineer

• Design scalable, maintainable, and high-performing solutions that align with product goals and long-term business strategy
• Shape the technical direction of platforms and define architectural standards
• Collaborate closely with cross-functional teams to address complex technical challenges and guide architectural decisions
• Partner with others in the design and architecture of our platforms, focusing on solution quality, maintainability, scalability, and performance
• Develop and implement processes to enable engineering teams to receive efficient and effective architectural guidance
• Mentor engineers, document architectural patterns and best practices, and participate in training programs
• Actively participate in architectural reviews across teams and departments
• Evaluate and recommend tools and technologies to address challenges and advance the platform
• Assist with long-term planning and innovation focused on business needs and growth
• Respond professionally and expediently to the needs and requests of clients and Quest Analytics management and staff

Senior Software Architect

•Identify, design, and implement internal process improvements (e.g., automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability)
•Transform manual SQL/SSMS/stored procedure workflows into automated pipelines using Azure Data Factory
•Write clean, reusable, and efficient code in Python (and optionally C# or Scala)
•Leverage distributed data tools such as Spark and Databricks for large-scale processing
•Review project objectives to determine and implement the most suitable technologies
•Apply best practice standards for development, build, and deployment automation
•Manage day-to-day operations of the data infrastructure and support engineers and analysts with data investigations
•Monitor and report on data pipeline tasks, collaborating with teams to resolve issues quickly
•Partner with internal teams to analyze current processes and identify efficiency opportunities
•Participate in training and mentoring programs as assigned or required
•Uphold Quest Analytics values and contribute to a positive company culture
•Respond professionally and promptly to client and internal requests
•Perform other duties as assigned

Senior Data Engineer

Data Analyst

• Acquire and ingest relevant data sets, including claims data and provider network files
• Implement robust data cleansing procedures to ensure data accuracy and consistency
• Enhance datasets by integrating additional relevant information
• Analyze complex datasets using SQL, Excel, and Databricks to uncover trends and measure network performance
• Identify and quantify network challenges and conduct deep analytical investigations
• Apply structured data exploration, root cause analysis, and critical thinking to generate context-rich insights
• Drive efficiencies through automation and contribute to cutting-edge provider network analytics initiatives
• Develop insightful and visually compelling reports and dashboards using Power BI
• Effectively communicate findings to internal teams and external stakeholders
• Collaborate with cross-functional teams and client services to align analysis with business objectives and address client concerns
• Stay abreast of industry trends, regulations, and technological advancements and explore novel methodologies

Data Analyst, Network Analytics

QA Engineer

•Document test cases and test scripts based on Agile stories
•Create and maintain the code required to run test cases
•Execute test cases and identify defects
•Develop, maintain, and execute various data testing approaches, to include validating data sources, extracting data, applying/validating transform logic, and uploading data into destination sources for output accuracy and validation
•Participate in Scrum team activities to monitor defect resolution
•Suggest creative and active solutions for problems
•Monitor and report on defect resolution to management
•Identify and document processes around the QA of data across multiple environments
•Support technical staff in the resolution of defects
•Identify missed business rules that need to be submitted for future development
•Provide actionable recommendations for improving data quality or integrity
•Work with stakeholders to understand, reproduce, and address defects identified by clients or internal parties
•Participate in the training and/or mentoring programs as assigned or required
•Adhere to the Quest Analytics Values and support a positive company culture
•Respond to the needs and requests of clients and Quest Analytics management and staff in a professional and expedient manner

Data Quality Assurance Analyst

Product Marketing

•Conduct thorough market research to understand customer needs, preferences, and pain points; analyze market trends, competitive offerings, and customer feedback to identify opportunities and develop effective product messaging.
•Develop and communicate compelling messaging frameworks and value propositions tailored to buyer personas, verticals, and use cases. Ensure consistency across all channels and touchpoints.
•Architect and execute comprehensive go-to-market plans for new product launches and feature releases. This involves collaborating on marketing campaigns, sales enablement, and pricing and packaging strategies across teams.
•Monitor and analyze the competitive landscape, inclusive of identifying competitors’ strengths, weaknesses, and market position using this information to understand the market and how our product offerings can be differentiated.
•Create high-impact marketing materials and collateral to support all sales and marketing efforts. Collaborate with demand generation and digital teams to amplify reach.
•Design and deliver sales enablement programs that equip sales and client-facing teams with the necessary tools, training and knowledge about the products and packages we offer. Create playbooks, battlecards, pitch decks and training sessions. Maintain sales enablement content software to ensure it is updated and easily accessible for the sales team.
•Track key performance indicators to assess the success of marketing efforts and make data-drive decisions for future improvements in messaging, positioning, and targeting.
•Act as a strategic advisor to product managers, sales and market team. Facilitate alignment across teams to ensure cohesive product narratives and market execution.
•Participate in the training and/or mentoring programs as assigned or required.
•Adheres to the Quest Analytics Values and supports a positive company’s culture
•Responds to the needs and requests of clients and Quest Analytics management and staff in a professional and expedient manner
•Perform other assigned duties as needed