Why hirevault?
hirevault is a world‑leading entertainment and streaming platform that connects hundreds of millions of members across more than 190 countries. With a diverse catalog of TV series, movies, documentaries, and interactive experiences, hirevault empowers viewers to watch, pause, and resume content whenever and wherever they choose. Our relentless focus on delivering a frictionless, personalized experience has made us a cultural touchstone and a technology pioneer in the digital entertainment space.
At hirevault, data is the lifeblood of every decision. From content recommendation engines to real‑time quality monitoring, we rely on sophisticated data solutions to understand member behavior, anticipate needs, and continuously improve the service. Our Customer Service organization sits at the front line of member interaction, handling millions of voice and chat engagements each day in 25 languages. The insights generated from these interactions directly shape product roadmaps, operational efficiencies, and the overall member journey.
Role Overview
We are seeking an experienced, self‑driven Data Engineer (Level 5) to join the Customer Service Data Science & Engineering (DSE) team. In this role, you will partner with software engineers, data scientists, product managers, and business stakeholders to design, build, and maintain robust data pipelines that transform raw interaction logs into actionable business metrics. You will also develop custom visualization tools that surface critical insights to senior leadership, enabling rapid, data‑informed decisions that enhance member satisfaction.
This position is fully remote, with an immediate start date. You will enjoy the autonomy of a small, high‑impact team while leveraging hirevault’s cutting‑edge technology stack and massive data scale.
Key Responsibilities
- End‑to‑End Pipeline Development: Design, implement, and operate scalable data pipelines using big‑data technologies such as Hive, Presto, Spark, and Flink to ingest, cleanse, and enrich tens of millions of customer‑service records daily.
- Data Modeling & Architecture: Create flexible, future‑proof data models that accommodate evolving source schemas and new business requirements, ensuring high performance and maintainability.
- Metric Engineering: Translate business questions into reliable, repeatable metrics and key performance indicators (KPIs) that drive strategic initiatives across the Customer Service organization.
- Collaboration & Partnership: Work closely with analysts, product owners, and engineering peers to understand data needs, prioritize work, and deliver solutions that align with business goals.
- Code Quality & Best Practices: Write clean, well‑documented Python or Scala code, enforce code review standards, and champion automated testing, CI/CD pipelines, and data‑quality monitoring.
- Visualization & Insight Delivery: Build and maintain custom dashboards and visualization tools that surface real‑time CS insights to stakeholders, enabling rapid issue detection and resolution.
- Performance Optimization: Continuously profile, tune, and refactor pipelines to reduce latency, lower cost, and improve reliability across the data stack.
- Mentorship & Knowledge Sharing: Provide technical guidance to junior engineers, contribute to internal documentation, and foster a culture of continuous learning within the team.
Essential Qualifications
- Minimum of 4 years of hands‑on experience building data pipelines for medium‑to‑large scale datasets (tens of millions of records per day).
- Proficiency with big‑data processing frameworks such as Hive, Presto, Spark, or Flink.
- Strong data‑modeling expertise, with a track record of designing adaptable schemas that evolve with business needs.
- Advanced programming skills in Python or Scala, with a passion for writing clean, maintainable code.
- Expert‑level SQL abilities and a deep commitment to data quality, validation, and governance.
- Demonstrated analytical mindset—ability to decompose complex business problems into measurable metrics and prioritize work autonomously.
- Excellent communication skills, capable of translating technical concepts to non‑technical audiences and building productive partnerships across functions.
Preferred Qualifications & Nice‑to‑Have Skills
- Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse).
- Familiarity with containerization (Docker) and orchestration (Kubernetes) for data workloads.
- Knowledge of streaming data processing (Kafka, Kinesis) and real‑time analytics.
- Background in customer‑service analytics, contact‑center operations, or similar domains.
- Exposure to machine‑learning pipelines and feature engineering for predictive models.
- Contributions to open‑source projects or participation in data‑engineering communities.
Core Skills & Competencies
- Technical Agility: Ability to quickly learn new tools, frameworks, and languages as the technology landscape evolves.
- Problem‑Solving: Strong logical reasoning and a data‑driven approach to troubleshooting complex pipeline failures.
- Ownership & Accountability: Proactive mindset with a focus on delivering high‑quality solutions on time.
- Collaboration: Team‑first attitude, comfortable working in a distributed environment and across time zones.
- Customer‑Centric Thinking: Understanding of how data impacts member experience and a desire to improve service outcomes.
Career Growth & Learning Opportunities
hirevault invests heavily in the professional development of its engineers. As a Level 5 Data Engineer, you will have access to:
- Mentorship programs with senior architects and data leaders.
- Sponsored certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
- Internal hackathons and innovation days to prototype new ideas.
- Cross‑functional rotation opportunities, allowing you to gain exposure to product, analytics, and machine‑learning teams.
- Leadership pathways that can lead to senior engineering, data‑product management, or technical program management roles.
Work Environment & Culture at hirevault
Our culture is built on freedom, responsibility, and a relentless focus on member delight. We celebrate diversity of thought, background, and experience, believing that inclusive teams drive the most innovative solutions. Key cultural pillars include:
- Transparency: Open communication channels, regular all‑hands updates, and clear visibility into company goals.
- Autonomy: Engineers are trusted to make technical decisions and own end‑to‑end delivery.
- Feedback‑Driven Growth: Continuous performance conversations, peer reviews, and constructive feedback loops.
- Work‑Life Harmony: Flexible remote work policies, generous paid‑time‑off, and support for personal well‑being.
Compensation, Perks & Benefits
hirevault offers a market‑competitive total compensation package that reflects the high impact of this role. While exact figures vary based on experience and location, the package typically includes:
- A base salary that aligns with industry benchmarks for senior data engineers.
- Equity participation through stock options, allowing you to share in hirevault’s long‑term success.
- Comprehensive health, dental, and vision plans for you and your dependents.
- Generous mental‑health resources, including counseling and wellness stipends.
- 401(k) retirement plan with company match.
- Flexible paid‑time‑off policy, with a minimum of 35 days of accrued PTO for salaried staff.
- Family‑forming benefits, parental leave, and support for caregivers.
- Professional development budget for conferences, courses, and certifications.
- Home‑office stipend to create an ergonomic remote workspace.
How to Apply
If you are passionate about turning raw interaction data into strategic insights that directly improve millions of members’ experiences, we want to hear from you. hirevault values attitude, curiosity, and a growth mindset just as much as technical expertise. Even if you don’t meet every single requirement, we encourage you to apply and showcase how your unique background can contribute to our mission.
Take the next step in your career and join a team that is shaping the future of global entertainment. Click the link below to submit your application.
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