About careerzynith
careerzynith is a global leader in financial services and innovative customer experience solutions. With a heritage of more than a century, careerzynith has continuously reinvented the way consumers, businesses, and service providers interact with their financial world. Our mission is to deliver a first‑class experience every day, built on integrity, inclusion, and a relentless focus on the voice of the customer. As we expand our data‑driven insights capabilities, we are looking for passionate professionals who want to shape the future of analytics while enjoying the flexibility of remote work from beautiful Costa Rica.
Why This Role Matters
At careerzynith, the Voice of the Customer (VoC) program is the heartbeat of our product strategy. Each year, more than five million surveys are collected across multiple languages and regions, providing a rich tapestry of feedback that drives product innovation, service excellence, and strategic decision‑making. As a Senior Data Engineer, you will be at the core of this ecosystem, transforming raw survey data into actionable insights that empower business leaders, product owners, and technology teams.
Key Responsibilities
- Collaborate with Business Stakeholders: Work closely with product owners, business analysts, and the careerzynith technology team to translate business requirements into scalable data solutions.
- Data Platform Development: Design, build, and maintain robust data pipelines on the careerzynith data lake, leveraging Hadoop, HDFS, Spark, Hive, and Python to ingest, cleanse, and enrich VoC data.
- Model Architecture: Create and evolve data models that support advanced statistical analysis, real‑time dashboards, and predictive analytics for the VoC program.
- Performance Optimization: Optimize batch and streaming workloads to ensure high‑throughput, low‑latency processing while maintaining data quality and integrity.
- Automation & Tooling: Develop reusable automation scripts (Shell, Python, PySpark) and CI/CD pipelines to streamline data engineering tasks.
- Quality Assurance: Implement rigorous testing frameworks, data validation checks, and monitoring alerts to guarantee the accuracy of analytical outputs.
- Cross‑Functional Leadership: Partner with careerzynith’s analytics, product, and engineering teams to prioritize use cases, define metrics, and deliver insights that drive business impact.
- Mentorship & Knowledge Sharing: Coach junior engineers, champion best practices, and contribute to a culture of continuous learning within the data engineering community.
Essential Qualifications
- Minimum 3 years of hands‑on experience with big‑data technologies such as Hadoop, Hive, Spark, and PySpark.
- Proficiency in Python and shell scripting for data manipulation and automation.
- Demonstrated experience designing and implementing data pipelines in a cloud or on‑premise environment.
- Strong understanding of relational and NoSQL databases, data warehousing concepts, and data modeling techniques.
- Experience working in Agile delivery environments, with a track record of delivering incremental value in short sprints.
- Excellent communication skills, capable of translating complex technical concepts into clear business language.
- Self‑motivated, collaborative mindset with a passion for solving challenging data problems.
Preferred Qualifications
- Advanced degree (M.S. or Ph.D.) in Computer Science, Data Engineering, Statistics, or a related field.
- Experience with survey platforms and VoC analytics, preferably on the careerzynith survey solution.
- Familiarity with containerization (Docker, Kubernetes) and cloud services (AWS, GCP, Azure).
- Knowledge of machine‑learning pipelines and statistical modeling.
- Previous experience in a financial services or fintech environment.
Core Skills & Competencies
- Technical Acumen: Mastery of big‑data ecosystems, data integration patterns, and performance tuning.
- Analytical Thinking: Ability to dissect large datasets, identify trends, and propose data‑driven solutions.
- Collaboration: Strong partnership skills to work with product, analytics, and operations teams across multiple time zones.
- Problem‑Solving: Proactive approach to identifying bottlenecks and implementing innovative fixes.
- Adaptability: Comfort with evolving requirements and fast‑paced environments.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. In this role, you will have access to:
- Mentorship from senior data architects and industry experts.
- Sponsored certifications in cloud platforms, data engineering, and advanced analytics.
- Opportunities to lead high‑visibility projects that directly influence product strategy.
- Cross‑functional rotations that broaden your exposure to product management, data science, and customer experience.
- Participation in internal hackathons, innovation labs, and knowledge‑sharing forums.
Work Environment & Culture at careerzynith
Our culture is built on three pillars: inclusion, integrity, and innovation. Whether you work from a beachfront home office in Costa Rica or join a virtual collaboration hub, you will experience:
- Inclusive Community: A supportive environment where every voice is heard, and diverse perspectives are celebrated.
- Flexibility: Hybrid, fully remote, or on‑site options tailored to your role and personal preferences.
- Well‑Being Programs: Comprehensive health plans, mental‑health resources, and access to on‑site wellness centers (where applicable).
- Family Support: Generous parental leave, flexible scheduling, and resources for caregivers.
- Recognition & Rewards: Competitive base salary, performance‑based bonuses, and long‑term incentive plans.
Compensation, Perks & Benefits
careerzynith offers a market‑competitive compensation package that includes:
- Base hourly rate of $35 per hour, commensurate with experience and expertise.
- Annual performance bonuses tied to individual and company success.
- Retirement savings plans with employer matching contributions.
- Comprehensive medical, dental, and vision coverage for you and eligible dependents.
- Paid parental leave and family‑care assistance programs.
- Access to a global employee assistance program, including confidential counseling and mental‑health support.
- Continuous learning budget for courses, conferences, and certifications.
- Opportunities for international travel and cross‑regional collaboration.
How to Apply
If you are ready to leverage your data engineering expertise to amplify the voice of millions of customers and drive transformative insights at a world‑renowned financial institution, we want to hear from you. Click the link below to submit your application and become part of the careerzynith family.
Apply Now
Join careerzynith – Shape the Future of Customer Insight
At careerzynith, your work will have a direct impact on how we listen, learn, and evolve. We believe that great ideas come from diverse teams working together with purpose and passion. Take the next step in your career and help us deliver an unparalleled customer experience worldwide.