Welcome to nexahire – Where Data Powers Extraordinary Customer Experiences
Imagine a workplace where your data engineering expertise directly shapes the way millions of members enjoy seamless streaming experiences every day. At nexahire, we are a global leader in entertainment, delivering on‑demand TV series, movies, and interactive content to over 270 million members across 190 countries. Our mission is simple yet ambitious: to create a delightfully effortless experience for every member, no matter where they are or what language they speak.
As part of our Data Science & Analytics organization, you will join a tight‑knit, high‑impact team that partners with product, engineering, and customer‑service leaders to turn raw data into actionable insights. This is a 100 % remote role, giving you the freedom to design your own workspace while collaborating with world‑class talent from around the globe.
Why nexahire?
At nexahire, we believe that great storytelling begins with great data. Our culture is built on a foundation of freedom, responsibility, and relentless curiosity. We empower every employee to make decisions, experiment boldly, and own outcomes. Diversity and inclusion are not just buzzwords – they are core to our identity. We celebrate a mosaic of perspectives, backgrounds, and experiences because they fuel innovation and help us serve a truly global audience.
Our compensation model is transparent and flexible. You choose the mix of salary and stock options that aligns with your personal financial goals. In addition, we provide a comprehensive benefits suite that supports your health, well‑being, and future planning.
Role Overview – Data Engineer (L5) – Customer Service Analytics
As a senior‑level Data Engineer on the Customer Service Analytics team, you will be the architect and steward of the data pipelines that power our member‑centric metrics. You will work closely with data scientists, software engineers, and business stakeholders to design, build, and maintain scalable data solutions that enable rapid insight generation, real‑time monitoring, and data‑driven decision making.
This position demands a blend of deep technical expertise, strong analytical thinking, and excellent communication skills. You will operate with a high degree of autonomy, taking ownership of the end‑to‑end data lifecycle—from ingestion and transformation to modeling and visualization.
Key Responsibilities
- Design & Build Scalable Pipelines: Develop robust, high‑throughput data pipelines using big‑data technologies such as Hive, Presto, Spark, and Flink to process tens of millions of records daily.
- Data Modeling & Architecture: Create flexible, future‑proof data models that adapt to evolving source systems and business requirements, ensuring consistency across analytical and operational workloads.
- Transform Raw Data into Business Metrics: Translate raw event streams and logs into core customer‑service KPIs (e.g., resolution time, churn risk, satisfaction scores) that drive product improvements.
- Collaborate Across Teams: Partner with data scientists, software engineers, product managers, and customer‑service leaders to understand data needs, define requirements, and deliver solutions that meet business goals.
- Maintain Data Quality & Governance: Implement validation, monitoring, and alerting frameworks to guarantee data accuracy, completeness, and reliability.
- Develop Custom Visualization Tools: Work with front‑end engineers and analysts to build dashboards and self‑service tools that surface actionable insights to non‑technical stakeholders.
- Mentor & Lead: Provide technical guidance to junior engineers, champion best practices, and contribute to the team’s continuous improvement culture.
- Performance Optimization: Profile and tune pipelines for cost‑efficiency and low latency, leveraging cloud resources and distributed computing patterns.
- Documentation & Knowledge Sharing: Produce clear, concise documentation of data flows, schemas, and operational procedures to enable seamless onboarding and cross‑team collaboration.
Essential Qualifications
- Minimum 4 years of hands‑on experience building data pipelines with big‑data technologies (Hive, Presto, Spark, Flink) on medium to large‑scale datasets (tens of millions of records).
- Strong data modeling expertise with a track record of designing adaptable schemas for evolving business needs.
- Proficiency in Python or Scala, with a passion for writing clean, maintainable, and testable code.
- Advanced SQL skills and a deep commitment to data quality, including experience with data validation frameworks.
- Demonstrated analytical aptitude—ability to translate ambiguous business problems into concrete metrics and data solutions.
- Excellent communication skills; proven ability to partner effectively with analysts, engineers, and senior business leaders.
- Experience working in a remote, distributed team environment, showing self‑motivation and strong time‑management capabilities.
Preferred Qualifications & Nice‑to‑Have Skills
- Experience with cloud platforms (AWS, GCP, Azure) and infrastructure‑as‑code tools (Terraform, CloudFormation).
- Familiarity with streaming technologies (Kafka, Kinesis) and real‑time analytics.
- Background in customer‑service analytics, churn modeling, or personalization systems.
- Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for data engineering workloads.
- Exposure to data‑visualization frameworks such as Looker, Tableau, or custom React/D3 solutions.
- Contributions to open‑source projects or published technical blogs demonstrating thought leadership.
Core Skills & Competencies for Success
- Technical Judgment: Ability to evaluate trade‑offs between performance, cost, and maintainability.
- Problem‑Solving Mindset: Proactive in identifying bottlenecks and proposing innovative solutions.
- Collaboration: Strong team player who thrives in cross‑functional environments.
- Ownership: Takes full responsibility for the health and reliability of data products.
- Continuous Learning: Keeps up‑to‑date with emerging data technologies and industry best practices.
Career Growth & Learning Opportunities
At nexahire, your career trajectory is limited only by your ambition. As a senior data engineer, you will have pathways to:
- Lead a data‑engineering squad focused on a strategic business domain.
- Transition into a Data Architecture or Analytics Platform leadership role.
- Mentor a growing community of engineers through internal tech talks, hackathons, and knowledge‑sharing sessions.
- Participate in cutting‑edge research projects that shape the future of streaming analytics.
- Access a generous education stipend for certifications, conferences, and advanced degrees.
Compensation, Perks & Benefits
nexahire offers a market‑competitive salary range of $170,000 – $720,000 (adjusted for experience and location) with the flexibility to allocate a portion of your total compensation to stock options. Our benefits package includes:
- Comprehensive health, dental, and vision plans.
- Mental‑health resources and counseling services.
- 401(k) plan with generous employer match.
- Equity participation through a robust Stock Option Program.
- Disability, life, and accidental injury coverage.
- Flexible paid time off – unlimited for salaried staff, with a baseline of 35 days for hourly employees.
- Family‑forming benefits, parental leave, and adoption assistance.
- Remote‑work stipend for home‑office setup, coworking spaces, and internet subsidies.
- Wellness programs, fitness class reimbursements, and employee assistance resources.
Our Culture – Freedom, Responsibility, and Inclusion
nexahire’s culture is built on a philosophy of “freedom and responsibility.” We trust our people to make decisions, experiment, and iterate quickly. This trust is balanced by clear expectations and a commitment to high performance. We champion:
- Diversity & Inclusion: A workplace where every voice is heard, and diverse perspectives are celebrated.
- Transparency: Open communication about company goals, performance metrics, and strategic direction.
- Innovation: Time and resources allocated for personal projects, research, and creative problem solving.
- Work‑Life Harmony: Flexible schedules, remote‑first policies, and a supportive environment that respects personal commitments.
Application Process & Next Steps
If you are passionate about turning massive data streams into meaningful, member‑focused insights, we want to hear from you. nexahire values talent over titles, so even if you don’t meet every single requirement, we encourage you to apply. Our interview process is designed to be respectful, inclusive, and transparent.
To submit your application, click the link below. Should you need any accommodations during the hiring process, please let your recruiting partner know – we are committed to providing an equitable experience for all candidates.
Apply Now – Join nexahire’s Data Engineering Team
We Encourage You to Apply!
Even if you feel you’re not a perfect match, we’d love to hear from you. nexahire is always looking for great people to join our friendly, high‑performing team. Take the next step in your career and help us shape the future of entertainment for millions worldwide.
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