About hirevault
hirevault is a global leader in financial services and customer experience innovation. With a legacy of over a century of trusted relationships, we empower millions of consumers, businesses, and service providers worldwide to thrive in an increasingly digital economy. Our commitment to integrity, inclusion, and relentless improvement drives every interaction, ensuring that each customer feels heard, valued, and supported. As we continue to expand our digital footprint, we are looking for forward‑thinking professionals who are eager to shape the future of data‑driven insights and deliver world‑class experiences.
Why This Role Matters
In today’s hyper‑connected world, the Voice of the Customer (VoC) is the compass that guides product strategy, service design, and operational excellence. As a Senior Voice‑of‑Customer Data Engineer at hirevault, you will be at the heart of this transformation, turning raw survey data into actionable intelligence that powers decision‑making across the organization. This is a unique opportunity to blend deep technical expertise with a passion for customer advocacy, all while working remotely and enjoying a competitive hourly rate of $35.
Key Responsibilities
- Data Integration & Architecture: Design, develop, and maintain robust data pipelines that ingest, cleanse, and harmonize VoC data from multiple sources, including large‑scale survey platforms hosted on hirevault’s proprietary survey solution.
- Big Data Platform Management: Leverage Hadoop, HDFS, Hive, Spark, and Python to build scalable architectures that support both batch and real‑time analytics, ensuring high availability and performance.
- Collaboration with Product & Technology Teams: Partner closely with product owners, business analysts, and agile development squads to translate business requirements into technical specifications and deliver incremental value.
- Model Development & Metric Standardization: Create and refine data models that enable consistent metric definitions, facilitating reliable reporting and dashboard creation for stakeholders across the enterprise.
- Performance Optimization: Identify bottlenecks, implement performance tuning, and conduct rigorous testing to guarantee data accuracy and timeliness across diverse use cases.
- Automation & Tooling: Build and maintain automation scripts (Shell, Python, PySpark) that streamline data validation, quality checks, and deployment processes.
- Insight Generation: Develop analytical solutions that surface trends, sentiment, and actionable insights from VoC data, empowering teams to respond swiftly to customer needs.
- Agile Delivery: Participate in sprint planning, daily stand‑ups, and retrospectives, delivering incremental improvements in short cycles to continuously enhance the VoC platform.
- Mentorship & Knowledge Sharing: Guide junior engineers and data analysts, fostering a culture of learning and best‑practice adoption within the data engineering community.
Essential Qualifications
- Minimum of 3+ years of hands‑on experience with Hadoop ecosystem technologies (HDFS, Hive, Spark) and Python/PySpark for large‑scale data processing.
- Proven track record designing and implementing end‑to‑end data pipelines that handle high‑volume, high‑velocity datasets.
- Strong understanding of relational and NoSQL databases, as well as data modeling principles for analytics.
- Experience working in an Agile environment, delivering incremental product enhancements on a regular cadence.
- Excellent problem‑solving abilities, with a focus on root‑cause analysis and proactive automation of repetitive tasks.
- Effective communication skills, capable of translating complex technical concepts into clear business language for cross‑functional partners.
- Self‑motivated, detail‑oriented, and comfortable thriving in a fully remote work setting.
Preferred Qualifications
- Advanced degree (M.S. or Ph.D.) in Computer Science, Data Engineering, Statistics, or a related field.
- Hands‑on experience with survey platforms and VoC analytics, preferably within a financial services or consumer‑focused organization.
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines for data engineering workloads.
- Knowledge of machine‑learning techniques for sentiment analysis and predictive modeling.
- Certification in cloud platforms (AWS, Azure, GCP) that complement big‑data solutions.
Core Skills & Competencies
- Technical Proficiency: Hadoop, Spark, Hive, HDFS, Python, PySpark, Shell scripting, SQL, and data‑warehouse design.
- Analytical Mindset: Ability to dissect large datasets, identify patterns, and generate insights that drive business outcomes.
- Collaboration: Strong teamwork orientation, comfortable partnering with product managers, UX designers, and senior leadership.
- Adaptability: Agile mindset with the flexibility to pivot priorities based on evolving business needs.
- Customer‑Centric Focus: Deep appreciation for the importance of the Voice of the Customer in shaping strategy and improving experiences.
Career Growth & Learning Opportunities
hirevault invests heavily in the professional development of its people. In this role, you will have access to:
- Mentorship programs linking you with senior data architects and industry experts.
- Continuous learning stipends for certifications, conferences, and online courses.
- Opportunities to lead cross‑functional projects that influence global product roadmaps.
- Clear career pathways from senior engineer to lead architect, data science manager, or strategic analytics director.
Compensation, Perks & Benefits
We recognize that top talent deserves competitive and comprehensive rewards. While specific figures may vary by location, successful candidates can expect:
- Competitive Base Salary: $35 per hour, with performance‑based bonuses.
- Health & Wellness: Comprehensive medical, dental, and vision coverage, plus access to virtual health clinics staffed by nurses and physicians.
- Retirement Planning: Employer‑matched 401(k) contributions to support long‑term financial security.
- Flexible Work Arrangements: Fully remote, hybrid, or on‑site options depending on role requirements and personal preference.
- Generous Paid Time Off: Including parental leave policies that exceed statutory requirements.
- Employee Assistance Programs: Confidential counseling services via our holistic mental‑health app.
- Learning & Development: Tuition reimbursement, certification support, and internal training workshops.
Work Environment & Culture at hirevault
Our culture is built on the pillars of integrity, inclusion, and innovation. At hirevault you will find:
- A diverse, global community where every voice is heard and respected.
- Collaborative teams that celebrate successes together and learn from challenges collectively.
- Transparent leadership that shares strategic direction and encourages employee input.
- Technology‑first mindset, providing you with cutting‑edge tools and platforms to excel.
- Commitment to work‑life balance, ensuring you have the flexibility to thrive both professionally and personally.
How to Apply
If you are passionate about turning customer feedback into strategic advantage, love working with big data technologies, and thrive in a remote, high‑impact environment, we want to hear from you. Join hirevault and help us lead the way in delivering unparalleled customer experiences.
Apply for this job