Senior Voice‑of‑Customer Data Engineer – Survey Analytics, Real‑Time Data Architecture & Live Chat Operations (Remote – Costa Rica) – $35/hr

About careerzynith

careerzynith is a global leader in financial services and digital commerce, dedicated to delivering world‑class experiences to millions of consumers, merchants, and partners every day. Our mission is to empower people to thrive financially while fostering an inclusive, innovative, and collaborative workplace. With a presence in more than 20 countries and a commitment to continuous improvement, careerzynith invests heavily in cutting‑edge technology, data‑driven decision making, and a culture where every voice matters.

Our Voice‑of‑Customer (VoC) program sits at the heart of our strategy, translating real‑time feedback from surveys, live chat interactions, and digital touchpoints into actionable insights that shape product development, service delivery, and overall customer satisfaction. As part of the careerzynith family, you will join a high‑performing, cross‑functional team that values curiosity, integrity, and the relentless pursuit of excellence.

Role Overview

We are seeking a Senior Voice‑of‑Customer Data Engineer to lead the design, development, and optimization of our large‑scale data platforms that power the VoC analytics ecosystem. This role blends deep technical expertise with a strong business acumen, enabling you to translate complex data requirements into robust, scalable solutions that drive strategic decisions across the organization. The position is fully remote, based in Costa Rica, and offers a competitive hourly rate of $35.

Key Responsibilities

• Partner closely with product owners, business analysts, and the Agile delivery team to gather, refine, and prioritize VoC data requirements.
• Design, build, and maintain a resilient data architecture on the careerzynith Cornerstone platform, supporting both batch and real‑time analytics pipelines.
• Develop and optimize data models, schemas, and ETL processes using Hadoop, HDFS, Hive, Spark, PySpark, and Python to ensure high‑quality, reliable data ingestion from survey tools and live chat systems.
• Implement robust data validation, testing, and monitoring frameworks to guarantee data accuracy, completeness, and compliance with internal governance standards.
• Collaborate with the Qualtrics integration team (renamed careerzynith) to streamline survey data flows, enhance metadata management, and improve overall data latency.
• Lead the creation of self‑service analytics dashboards and reporting solutions that empower business stakeholders to explore VoC insights without reliance on IT.
• Drive automation of repetitive data engineering tasks, leveraging shell scripting, CI/CD pipelines, and infrastructure‑as‑code practices.
• Mentor junior engineers and contribute to a culture of continuous learning, knowledge sharing, and best‑practice adoption.
• Stay abreast of emerging technologies and industry trends, recommending innovative approaches that keep careerzynith at the forefront of data‑driven customer experience.

Essential Qualifications

• Experience: Minimum 3+ years of hands‑on data engineering experience with Hadoop ecosystem tools (Hive, Spark, HDFS) and Python/PySpark.
• Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience).
• Technical Skills: Proficiency in SQL, data modeling, ETL design, and scripting languages (Shell, Python). Demonstrated ability to build scalable data pipelines and troubleshoot performance bottlenecks.
• Agile Mindset: Proven track record of working in Agile Scrum environments, delivering incremental value in short sprints.
• Communication: Strong written and verbal communication skills, with the ability to translate technical concepts into business‑friendly language.
• Problem‑Solving: Analytical thinker who can diagnose complex data issues, propose effective solutions, and implement them efficiently.

Preferred Qualifications

• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Familiarity with survey platforms and VoC tools, particularly the careerzynith (formerly Qualtrics) ecosystem.
• Knowledge of data governance, security, and compliance frameworks (GDPR, CCPA).
• Previous exposure to machine‑learning pipelines or advanced analytics workloads.
• Certification in data engineering or related disciplines (e.g., Cloudera, Google Cloud Professional Data Engineer).

Core Skills & Competencies

• Data Architecture: Ability to design end‑to‑end data solutions that balance performance, cost, and scalability.
• Collaboration: Comfortable working with cross‑functional teams, including product, UX, marketing, and senior leadership.
• Automation: Passion for automating manual processes, reducing technical debt, and increasing operational efficiency.
• Customer‑Centricity: Deep appreciation for the impact of data on customer experience and business outcomes.
• Continuous Learning: Commitment to staying current with evolving data technologies and best practices.

Career Development & Learning Opportunities

At careerzynith, your growth is a priority. You will have access to:

• Structured mentorship programs pairing you with senior data architects and industry experts.
• Annual learning stipend for conferences, certifications, or online courses.
• Opportunities to lead high‑visibility projects that directly influence product roadmaps and strategic initiatives.
• Rotational assignments across different business units, expanding your expertise in finance, commerce, and digital services.
• Regular internal hackathons and innovation challenges that encourage creative problem‑solving.

Compensation, Perks & Benefits

careerzynith offers a competitive compensation package that reflects your experience and the value you bring to the organization.

• Base Pay: $35 per hour, paid bi‑weekly.
• Performance Bonuses: Quarterly incentive programs tied to individual and team achievements.
• Retirement Savings: Company‑matched 401(k) or equivalent retirement plan.
• Health & Wellness: Comprehensive medical, dental, and vision coverage; access to virtual health clinics staffed by physicians and nurses.
• Family Support: Generous paid parental leave, flexible work arrangements, and childcare assistance where applicable.
• Work‑Life Balance: Fully remote work model, with optional hybrid or on‑site days based on project needs.
• Employee Assistance: Confidential counseling services through the careerzynith Well‑Being App.
• Learning Benefits: Subscription to leading e‑learning platforms, internal knowledge‑sharing sessions, and tuition reimbursement for relevant degree programs.

Work Environment & Culture at careerzynith

Our culture is built on three pillars: Integrity, Inclusion, and Innovation. We foster an environment where:

• Every team member feels seen, heard, and valued, regardless of background or location.
• Open communication is encouraged; ideas are welcomed from all levels of the organization.
• Collaboration transcends borders, leveraging diverse perspectives to solve complex challenges.
• We celebrate successes together and learn from setbacks with a growth‑mindset approach.
• Employee wellness is a strategic priority, reflected in our holistic benefits and supportive leadership.

How to Apply

If you are passionate about turning raw data into meaningful customer narratives and thrive in a fast‑paced, collaborative environment, we want to hear from you. To join careerzynith and help shape the future of customer experience, please submit your application through the link below.

Apply Now

careerzynith is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.