We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.

This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.

Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting: Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.

Qualifications:

Minimum Required:

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance
• Professional working proficiency in English

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies:

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

#LI-AG2 #LI-REMOTE

We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.

This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.

Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting: Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.

Qualifications:

Minimum Required:

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance
• Professional working proficiency in English

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies:

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

#LI-AG2 #LI-REMOTE

Remote in Peru, Ecuador, Mexico, Brazil, Argentina, or any EST time zone fitting location

We are seeking a Senior Full Stack Engineer (Contractor) to join our dynamic Engineering team. This role is fully remote, offering an opportunity to contribute to exciting projects with the potential to transition into a long-term contractor position. As part of our highly experienced engineering team, you’ll work closely with Dave Brennan and be part of his team, giving you the opportunity to collaborate with him directly, learn from his experience, influence design decisions, and drive innovation while keeping the customer’s needs at the forefront.

WHO YOU ARE

As a Senior Full Stack Engineer (Contractor), you will develop advanced solutions using cutting-edge technologies, including cloud-based services, containerization, AI-driven features, adaptive process automation, and more. We’re looking for a passionate and innovative developer eager to build and scale the next wave of Hyperproof’s capabilities.

This role is a great opportunity for engineers who thrive in a collaborative, fast-paced environment and enjoy working on both frontend and backend solutions.

WHAT YOU WILL DO

• Develop and design engaging user experiences using TypeScript and React, Java, C#; Go experience is also valuable.
• Design backend components, including REST APIs, queueing, storage systems, security layers (role-based access control, encryption), and more.
• Leverage AI-powered development tools (e.g., code assistants, automated testing, and analysis tools) to improve engineering productivity, code quality, and delivery speed.
• Contribute to and help evolve AI-driven product features, including intelligent automation and adaptive workflows.
• Collaborate with Product Managers to understand customer needs and translate them into software solutions.
• Own the quality and performance of the applications you build, ensuring they are reliable, scalable, compliant, and meet both customer and business expectations.
• Build reusable software components for other developers and business users.
• Implement automated testing and ensure code maintainability through documentation and best practices.

WHAT YOU’LL BRING

• 5+ years of experience in software engineering, focusing on design and coding at a component level.
• Professional level of English language proficiency.
• A strong customer-first mindset, with the ability to translate requirements into modern, flexible software solutions.
• Proficiency in FrontEnd and BackEnd technologies.
• Experience developing and integrating REST APIs using JSON and/or XML.
• Familiarity with cloud services (Azure or similar) for deployment and debugging.
• Expertise in asynchronous programming and scalable software development.
• Understanding of agile methodologies (Scrum/Kanban) and the ability to work effectively in agile teams.
• Bachelor's degree in Computer Science, Mathematics, or related experience.
• Excellent communication and collaboration skills, with the ability to mentor and take ownership of projects.

DESIRED DEVELOPERS SKILLS 

• TDD (Test Driven Development) and refactoring skills
• Experience in structuring the code for testability to separate unit-testable logic and integration-testable boundary code
• Nice to have: Pairing/mobbing experience and/or XP (eXtreme Programming) experience

This contract-to-hire arrangement provides a path to join the team permanently after successfully completing an exciting 6-12 month project.

CANDIDATE EXPERIENCE & INTERVIEW PROCESS

We value your time and aim to make the hiring process clear and efficient. The interview process includes:

1. 20-minute initial chat with our Senior Technical Talent Partner. 
2. Take-home technical assessment to showcase your skills. Utilizing Coderbyte platform.
3. Three 60-minute 1:1 interviews with our engineering team. One of them will be with the hiring manager. 

You’ll also have opportunities to ask questions and ensure this role aligns with your career goals.

LOCATION & WORK SETUP

This is a fully remote contractor position. We believe in hiring the best talent regardless of location and fostering a flexible work environment that allows you to thrive.

If you’re looking for an opportunity to work on exciting, high-impact projects with a growth-oriented company, we’d love to hear from you!

As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.

Our SRE Team:

We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.

What You Bring to the Team:

• Design and implement reliable and scalable AWS architecture to meet the needs of the organization.
• Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components.
• Support the CICD process with ArgoCD and GitOps.
• Automate the platform deployments with Terraform infrastructure-as-code.
• Develop and continuously improve product Observability and Monitoring systems based on the Grafana, Prometheus, DataDog, and Cloudwatch.
• Respond and participate with Incident Management and Root Cause Analysis, ensuring minimal impact on services.
• Optimize system performance and troubleshoot issues as they arise.
• Collaborate with development teams to establish monitoring best practices and ensure systems meet reliability targets. 
• Collaborate with security teams to implement and maintain security best practices.
• Infrastructure support rotation providing guidance to other engineering teams.

What Sets You Up for Success:

• 5+ years of experience as a DevOps or SRE working within the AWS ecosystem.
• 5+ years of experience with Kubernetes (EKS) and Helm charts.
• Experience with designing, building, and supporting CI/CD pipelines with ArgoCD and GitHub actions.
• Experience with infrastructure-as-code methodologies with Terraform.
• Experience with Observability and Monitoring with Grafana, Prometheus, DataDog, and Cloudwatch.
• Experience with Incident Management, full-stack troubleshooting, performance analysis, and root cause analysis (RCA).
• Experience with Web application systems such as Nginx, Ingress controllers, load balancing and Content Delivery Networks. 
• Experience with Databases (MySQL, PostgreSQL, Aurora) and Middleware technologies (Redis, Memcached and SQS)
• Good networking skills with VPC, Security Groups and Network ACLs.
• Ability to work remotely and manage your own time in a global team.
• Good written and verbal communication in English.
• Bachelor’s degree in Computer Science or equivalent experience.

Bonus Skills to Stand Out:

• Advanced experience with Database Administration (Aurora, MySQL, PostgreSQL).
• Experience working in a PCI-compliant environment.
• Experience working with Kong API Gateway.

#LI-REMOTE #LI-IK1

THE ROLE

Sourcing Manager, Apparel

We are seeking a self-starter, problem-solver and successful in combining technology and data into best-in-class outcomes. The candidate is energized by solving complex business problems and consistently effective in making high-judgment decisions at rapid pace amidst the frequent ambiguity that comes with charting a course of action with no precedent. Moreover, the ideal candidate is energized by an environment where strategy, innovation and decision-making are intentionally distributed, where candor, speed and data are highly valued and colleagues at all levels hold each other to unusually high standards on behalf of Quince customers. 

The Sourcing Manager, Americas/Apparel will focus on sourcing opportunities in Mexico, Central America, and South America but is not limited to these regions. This role is critical to optimizing Quince’s supply chain by re-sourcing existing products with long lead times and high logistics costs, as well as identifying and launching new products from the Americas region to drive business growth. The Sourcing Manager will be responsible for scouting potential suppliers, pitching them on Quince’s business model, conducting cost analyses for key products, and onboarding suppliers into our fast-paced supply chain. Additionally, they will ensure supplier continuity, conduct periodic business reviews, and drive operational efficiencies.

This role is pivotal to Quince’s continued growth and success. Enabling Americas Sourcing to its full potential will drive faster lead times, lower logistics costs, and greater alignment with our Made-to-Consumer (MTC) model.

Responsibilities:

• Develop and execute a category supply chain strategy, including multi-sourcing for the Apparel (womens/mens/kids) segment, across knits and wovens
• Identify, vet, and onboard supplier partners, coaching them to operate within Quince’s rapid replenishment, M2C (Made-to-Consumer) model.
• Train suppliers on Quince OS, including operational efficiency (rapid lead times, consumer focus), financial modeling (high ROIC), and technical capabilities (Vendor Portal).
• Product Expansion: Collaborate with Merchants and Product Development teams to introduce new styles and colors approved through our NPC process.
• Drive Operational Excellence:
• Ensure high-quality standards (<0.5% defect rate).
• Optimize supply chain for speed and accuracy (Replenishment Lead Time < 14 days).
• Maintain inventory availability (>99% in-stock).
• Improve margin accretion through cost efficiencies and strategic sourcing.
• Conduct Monthly/Quarterly Business Reviews with supplier management, analyzing strategy, performance highlights, and areas for improvement.

Qualifications

Required: 

• 8+ years of experience in Strategic Sourcing, Procurement, or Supplier Management with major U.S.-based retailers.
• Established factory partnerships within knits apparel across the Americas (Mexico, Central America, South America) and/or Asia (including India, South Asia, Southeast Asia, and China, where relevant).
• Passion for product development with a track record of leveraging vendor expertise to design, cost-engineer, and bring products to market.
• Strong general management (GM) mindset, with experience in lean manufacturing, just-in-time (JIT) processes, and supply chain optimization.
• Highly organized, detail-oriented, and analytical, with a strong focus on execution, problem-solving, and process improvement.
• Natural connector who builds and maintains strong relationships between internal teams and supplier partners to drive collaboration and shared success.
• Proactive and assertive, with the ability to self-manage in a remote/home-office setting while staying closely connected to the broader organization.
• Excellent communicator, with strong written, verbal, and presentation skills to influence and align stakeholders.
• Bachelor’s degree preferred.

Important Information 

Location: Peru

Work Mode: Hybrid

Job Summary 

As a Senior Software Development Engineer in Test (19742), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.  

Responsibilities and Duties 

• Design, develop, and maintain end-to-end dbt testing strategies, validating data transformations from bronze to gold layers using mocked and expected datasets
• Collaborate with business stakeholders, Data Engineers, and Analytics Engineers to define testing scope, ensure requirement traceability, and guarantee data quality standards
• Build, maintain, and optimize dbt models, unit tests, integration tests, and custom data validation frameworks within modern data platforms
• Investigate failed test cases, review pull requests, contribute to Agile ceremonies, and continuously identify opportunities to improve technical processes, quality standards, and team effectiveness

Qualifications and Skills 

• 7+ years of experience in Quality Engineering, with strong focus on data platforms and automation
• Strong understanding of data warehousing concepts, ETL processes, and BI environments
• Advanced proficiency in SQL and scripting languages such as Python for automation and validation
• Hands-on experience with data validation techniques, data quality frameworks, and testing methodologies for data pipelines
• Solid understanding of testing strategies, including the Test Pyramid and automated testing best practices
• Experience working with version control systems (Git) and modern development workflows
• Experience with dbt, Databricks, Docker, pytest, and development tools such as VSCode
• Strong analytical skills with the ability to translate engineering and analytics requirements into comprehensive testing strategies
• Proven track record of driving continuous technical, process, and team improvements
• Nice to have: knowledge of data pipelines, Power BI, Tableau, cloud environments, automation testing frameworks, and data governance/compliance standards

About Encora 
 
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.