About careerzynith
careerzynith is a global leader in financial services and innovative customer experiences. With a heritage of more than a century, we have continuously reinvented the way people manage money, travel, and conduct business. Our mission is to empower individuals and enterprises to thrive in an increasingly digital world, delivering world‑class service, security, and insight. At careerzynith, every employee is part of a collaborative, inclusive community that values curiosity, integrity, and the relentless pursuit of excellence.
Why This Role Matters
In today’s data‑driven economy, the voice of the customer (VoC) is the most powerful source of strategic insight. As a Senior Voice of Customer Data Engineer, you will be at the heart of careerzynith’s effort to translate millions of survey responses into actionable intelligence that shapes product development, service delivery, and overall brand perception. Your work will directly influence how careerzynith listens, learns, and responds to its customers across more than 20 countries and in over 10 languages.
Role Overview
This remote, live‑chat enabled position is based in the Dominican Republic and offers a competitive hourly rate of $35. You will join a high‑performing analytics team that partners with product owners, technology squads, and business stakeholders to design, build, and maintain robust data pipelines and analytical models. Your expertise in big‑data technologies, statistical modeling, and agile delivery will help ensure that careerzynith’s VoC platform remains reliable, scalable, and future‑ready.
Key Responsibilities
- Collaborate with Business Stakeholders: Work closely with product managers, data scientists, and business analysts to translate business requirements into technical specifications.
- Data Platform Development: Design, develop, and maintain data models on the careerzynith data lake, leveraging Hadoop, HDFS, Hive, Spark, and Python to support both batch and real‑time analytics.
- VoC Integration: Integrate voice‑of‑customer survey data from the careerzynith Survey Platform into the core analytics ecosystem, ensuring data quality, consistency, and compliance.
- Statistical Architecture: Build and evolve a robust statistical architecture that enables standardized metric definitions, advanced analytics, and predictive modeling.
- Performance Optimization: Optimize data pipelines for speed and cost‑efficiency, applying best practices in data partitioning, indexing, and resource management.
- Automation & Tooling: Develop automation scripts (Python, Shell) and CI/CD pipelines to streamline data ingestion, validation, and deployment processes.
- Testing & Validation: Conduct rigorous testing, including unit, integration, and performance tests, to guarantee data integrity across multiple use cases.
- Documentation & Knowledge Sharing: Produce clear documentation, data dictionaries, and runbooks; mentor junior engineers and contribute to community of practice forums.
- Agile Delivery: Participate in Scrum ceremonies, sprint planning, and retrospectives, delivering incremental value in two‑week cycles.
- Continuous Improvement: Identify opportunities to enhance data quality, reduce latency, and introduce innovative analytical techniques.
Essential Qualifications
- Minimum 3+ years of hands‑on experience with Hadoop ecosystem tools (Hive, HDFS, MapReduce) and Spark/PySpark.
- Proficiency in Python for data manipulation, statistical analysis, and automation.
- Strong command of SQL and experience designing scalable data models.
- Demonstrated ability to work with large‑scale survey or VoC datasets, preferably in a multilingual environment.
- Experience with data pipeline orchestration tools (e.g., Airflow, Luigi) and version control (Git).
- Solid understanding of statistical concepts, metric definition, and data governance.
- Excellent communication skills, with the ability to translate complex technical concepts into business‑friendly language.
- Proven track record of delivering projects in an Agile/Scrum framework.
- Fluency in English; Spanish proficiency is a strong plus given the Dominican Republic location.
Preferred Qualifications
- Experience with cloud platforms such as AWS, Azure, or Google Cloud, especially services like EMR, Redshift, or BigQuery.
- Background in building or maintaining VoC platforms, survey analytics, or customer experience dashboards.
- Knowledge of containerization (Docker, Kubernetes) and micro‑services architecture.
- Familiarity with machine‑learning libraries (scikit‑learn, TensorFlow) for predictive analytics.
- Certification in data engineering, cloud architecture, or Agile methodologies.
Core Skills & Competencies
- Analytical Mindset: Ability to dissect complex data problems, identify root causes, and propose data‑driven solutions.
- Collaboration: Strong team player who thrives in cross‑functional environments and values diverse perspectives.
- Problem‑Solving: Proactive in troubleshooting data issues, optimizing performance, and anticipating future needs.
- Adaptability: Comfortable navigating a fast‑paced, evolving technology landscape and shifting priorities.
- Integrity & Ownership: Commitment to delivering high‑quality work, maintaining data privacy, and upholding careerzynith’s ethical standards.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a senior engineer, you will have access to:
- Mentorship programs with senior data architects and industry thought leaders.
- Tuition reimbursement for advanced degrees, certifications, and specialized training.
- Internal mobility pathways to roles such as Data Science Lead, Analytics Product Manager, or Cloud Solutions Architect.
- Participation in global hackathons, innovation labs, and knowledge‑sharing conferences.
- Regular feedback cycles and personalized development plans to accelerate your career trajectory.
Compensation, Perks & Benefits
careerzynith offers a comprehensive rewards package designed to support your financial, physical, and emotional well‑being:
- Competitive Base Pay: $35 per hour, with performance‑based bonuses.
- Retirement Savings: Matching contributions to a 401(k) or equivalent retirement plan.
- Health & Wellness: Medical, dental, and vision coverage; access to virtual health clinics staffed by doctors and nurses.
- Family Support: Generous paid parental leave, flexible work arrangements, and child‑care assistance where applicable.
- Work‑Life Flexibility: Hybrid, fully remote, or on‑site options depending on project needs.
- Employee Assistance Programs: Confidential counseling, mental‑health resources, and wellness apps.
- Learning Stipends: Annual budget for books, courses, conferences, and certifications.
- Recognition Programs: Spot awards, peer‑to‑peer recognition, and annual celebration events.
Work Environment & Culture at careerzynith
Our culture is built on three pillars: inclusion, innovation, and impact.
- Inclusive Community: We celebrate diverse backgrounds, perspectives, and experiences. Employee resource groups, cultural celebrations, and inclusive policies ensure every voice is heard.
- Innovative Spirit: careerzynith encourages experimentation. You’ll have access to cutting‑edge tools, sandbox environments, and a “fail fast, learn faster” mindset.
- Purpose‑Driven Impact: Your work directly influences how millions of customers interact with careerzynith’s services, shaping the future of financial experiences worldwide.
Our remote teams are supported by state‑of‑the‑art collaboration platforms, regular virtual coffee chats, and quarterly in‑person meet‑ups to foster connection and shared purpose.
Application Process
If you are passionate about turning raw survey data into strategic insights, thrive in a collaborative remote environment, and want to grow your career with a world‑renowned financial services leader, we want to hear from you. Please submit your resume, a brief cover letter highlighting relevant experience, and any portfolio or project samples that demonstrate your data‑engineering expertise.
Join careerzynith Today
At careerzynith, you will be part of a forward‑thinking team that values your expertise, encourages continuous learning, and rewards your contributions. Take the next step in your career and help us shape the future of customer experience worldwide.
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