Senior Data & Analytics Engineer – Voice‑of‑Customer Insights, Remote (Dominican Republic) – $35 /hr – Join careerzynith

About careerzynith – Pioneering Customer‑Centric Innovation

careerzynith is a global leader in financial services and digital commerce, renowned for delivering world‑class experiences to millions of consumers, merchants, and partners every day. Our mission is to empower people and businesses to thrive through innovative technology, data‑driven insights, and an unwavering commitment to integrity. At careerzynith, every employee is valued, heard, and given the opportunity to shape the future of the industry. We foster a collaborative, inclusive environment where curiosity is celebrated and bold ideas are turned into real‑world solutions.

Why This Role Matters

Our Voice‑of‑Customer (VoC) program captures the authentic, real‑time feedback of our users across more than 20 countries and in over 10 languages. This treasure trove of data fuels product strategy, service enhancements, and operational excellence. As a Senior Data & Analytics Engineer, you will be at the heart of this ecosystem, transforming raw survey data into actionable intelligence that drives strategic decisions across the organization.

Position Overview

Based in the Dominican Republic and working remotely, you will partner with cross‑functional product owners, data scientists, and agile delivery teams to design, build, and maintain robust data pipelines and analytics solutions. Your expertise in big‑data technologies, statistical modeling, and cloud platforms will enable careerzynith to deliver fast, accurate, and scalable insights to stakeholders worldwide.

Key Responsibilities

• Data Architecture & Modeling: Design and implement scalable data models on the careerzynith data lake, ensuring high‑quality, consistent, and governed data for VoC analytics.
• Pipeline Development: Build end‑to‑end ETL/ELT pipelines using Hadoop, HDFS, Spark, Hive, and Python to ingest, cleanse, and transform survey data from multiple sources.
• Real‑Time & Batch Analytics: Enable both batch and real‑time analytics capabilities, delivering near‑instant insights to product and marketing teams.
• Collaboration: Work closely with product managers, business analysts, and agile squads to translate business requirements into technical specifications.
• Quality Assurance: Develop automated testing frameworks and validation scripts to guarantee data accuracy, completeness, and reliability.
• Performance Optimization: Tune queries, optimize storage, and implement best practices to improve processing speed and reduce costs.
• Documentation & Governance: Maintain clear documentation of data lineage, schema definitions, and data‑quality metrics in accordance with arenaxflex’s governance standards.
• Innovation & Automation: Identify opportunities to automate repetitive tasks, introduce new analytical tools, and drive continuous improvement across the data lifecycle.
• Mentorship: Coach junior engineers and data analysts, fostering a culture of learning and technical excellence.

Essential Qualifications

• Minimum 3 years of hands‑on experience with big‑data ecosystems (Hadoop, Hive, Spark, HDFS).
• Proficiency in Python (including PySpark) and shell scripting for data processing and automation.
• Demonstrated experience designing and maintaining data models and pipelines in a cloud environment (AWS, Azure, or GCP).
• Strong understanding of statistical concepts and ability to apply them to large‑scale survey data.
• Experience working in an Agile development framework, delivering incremental value in short sprints.
• Excellent communication skills, with the ability to convey complex technical ideas to non‑technical stakeholders.
• Fluency in English (both written and spoken); Spanish proficiency is a plus given the regional focus.

Preferred Qualifications

• Advanced degree (M.Sc. or Ph.D.) in Computer Science, Statistics, Data Science, or a related field.
• Hands‑on experience with data‑visualization tools such as Tableau, Power BI, or Looker.
• Familiarity with survey platforms and experience integrating data from third‑party services.
• Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines.
• Prior experience in the financial services or fintech industry.

Core Skills & Competencies

• Analytical Mindset: Ability to dissect complex datasets, identify patterns, and translate findings into strategic recommendations.
• Problem‑Solving: Proactive approach to troubleshooting data issues and designing resilient solutions.
• Collaboration: Strong team player who thrives in a multicultural, remote‑first environment.
• Adaptability: Comfortable navigating fast‑changing priorities and evolving technology stacks.
• Attention to Detail: Commitment to data integrity, accuracy, and compliance with privacy regulations.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its people. In this role, you will have access to:

• Mentorship from senior data architects and industry experts.
• Sponsored certifications in cloud platforms, big‑data technologies, and data science.
• Opportunities to lead high‑impact projects that influence global product strategy.
• Cross‑functional rotations to broaden your expertise across analytics, product management, and engineering.
• Participation in internal hackathons, innovation labs, and knowledge‑sharing forums.

Compensation, Perks & Benefits

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

• Base Salary: $35 per hour, paid bi‑weekly.
• Performance Bonuses: Quarterly incentive programs tied to individual and team outcomes.
• Retirement Savings: Company‑matched contributions to a 401(k) or equivalent plan.
• Health & Wellness: Comprehensive medical, dental, and vision coverage; access to virtual health clinics staffed by physicians and nurses.
• Work‑Life Balance: Flexible remote‑first work model, with options for hybrid or on‑site arrangements as needed.
• Family Support: Generous paid parental leave, childcare assistance, and family‑friendly policies.
• Employee Assistance: Confidential counseling services via the careerzynith Well‑Being App.
• Learning Stipends: Annual budget for courses, conferences, and books.
• Recognition Programs: Peer‑to‑peer awards and celebration events that honor outstanding contributions.

Work Environment & Culture at careerzynith

Our culture is built on four pillars: Integrity, Inclusion, Innovation, and Impact. We celebrate diversity, encourage open dialogue, and empower every team member to bring their authentic self to work. As a remote employee based in the Dominican Republic, you will be part of a vibrant, globally distributed team that values collaboration across time zones. Regular virtual coffee chats, team‑wide town halls, and quarterly in‑person meet‑ups foster connection and shared purpose.

How to Apply

If you are passionate about turning raw customer feedback into strategic gold, thrive in a data‑intensive environment, and want to grow your career with a forward‑thinking organization, we want to hear from you. Click the link below to submit your application, resume, and a brief cover letter outlining why you are the perfect fit for this role at careerzynith.

Apply Now – Join careerzynith Today!