About nexahire
nexahire is a global leader in entertainment streaming, delivering a diverse catalog of TV series, movies, games, and original content to hundreds of millions of members across more than 190 countries. Our mission is to redefine storytelling by providing an unparalleled, personalized viewing experience that adapts to each member’s preferences, language, and device. At nexahire, we combine cutting‑edge technology with a deep understanding of audience behavior to create a seamless, delightful experience that keeps members engaged and coming back for more.
Why This Role Matters
Customer Service is the front line of interaction between nexahire and its members. Every call, chat, or email is an opportunity to understand the real‑world challenges our members face, to resolve issues quickly, and to turn moments of friction into moments of loyalty. Within the Data Science & Analytics (DSA) organization, we harness data to measure, optimize, and personalize every facet of the Customer Service operation. As a Data Engineer on this team, you will be the architect of the data pipelines that turn raw interaction logs into actionable insights, empowering product managers, analysts, and engineers to make data‑driven decisions that improve the member experience.
Key Responsibilities
- Design and build robust, scalable data pipelines using industry‑leading big‑data technologies such as Hive, Presto, Spark, and Flink. Your pipelines will ingest, process, and store tens of millions of records daily, ensuring low‑latency delivery of clean data to downstream consumers.
- Transform raw interaction data into core business metrics that power dashboards, alerts, and predictive models for Customer Service performance, member satisfaction, and churn reduction.
- Collaborate cross‑functionally with software engineers, data scientists, product owners, and business stakeholders to understand requirements, define data contracts, and deliver end‑to‑end solutions that meet both technical and business goals.
- Maintain data quality and integrity by implementing automated testing, validation frameworks, and monitoring alerts that proactively detect anomalies or data drift.
- Develop and optimize SQL queries for ad‑hoc analysis, reporting, and self‑service analytics, championing best practices for performance and readability.
- Mentor junior engineers and contribute to the team’s knowledge base, fostering a culture of continuous learning, code review excellence, and shared ownership.
- Drive technical innovation by evaluating emerging data technologies, proposing architectural improvements, and piloting proof‑of‑concept projects that could enhance pipeline efficiency or reduce operational costs.
- Document data models, pipelines, and processes thoroughly, ensuring that future team members can quickly understand and extend your work.
Essential Qualifications
- Minimum four years of hands‑on experience engineering data pipelines with big‑data platforms (Hive, Presto, Spark, Flink) on medium to large‑scale datasets (tens of millions of records per day).
- Demonstrated data modeling expertise, with the ability to design flexible schemas that accommodate evolving source data and changing business requirements.
- Proficiency in Python or Scala, with a track record of writing clean, maintainable, and well‑documented code that can be easily handed off to other engineers.
- Advanced SQL skills, including complex joins, window functions, and performance tuning, coupled with a strong advocacy for data quality and governance.
- Strong analytical mindset, capable of translating ambiguous business problems into concrete data solutions and prioritizing work autonomously.
- Excellent communication skills, with the ability to build productive partnerships across analysts, engineers, and senior business leaders.
Preferred Qualifications & Nice‑to‑Have Skills
- Experience with cloud platforms such as AWS, GCP, or Azure, especially services related to data storage, processing, and orchestration (e.g., S3, Redshift, BigQuery, Dataflow).
- Familiarity with containerization and orchestration tools like Docker and Kubernetes for deploying scalable data services.
- Knowledge of real‑time streaming frameworks (e.g., Kafka, Kinesis) and the ability to build low‑latency pipelines for near‑real‑time analytics.
- Exposure to machine learning pipelines and the ability to collaborate with data scientists to operationalize predictive models.
- Experience with data visualization tools (e.g., Looker, Tableau, Power BI) to create intuitive dashboards that surface key Customer Service insights.
- Prior work in a fast‑paced, consumer‑facing technology company where rapid iteration and high data velocity are the norm.
Core Skills & Competencies
- Technical Judgment: Ability to make sound architectural decisions that balance scalability, reliability, and cost.
- Problem Solving: Proactive approach to identifying bottlenecks, debugging complex data flows, and delivering elegant solutions.
- Collaboration: Strong team player who can influence without authority, fostering alignment across diverse functional groups.
- Ownership: Self‑starter who takes end‑to‑end responsibility for the health and performance of data pipelines.
- Continuous Learning: Curiosity about emerging data technologies and a commitment to staying ahead of industry trends.
Career Growth & Learning Opportunities
At nexahire, your career trajectory is shaped by the impact you create. As a senior data engineer, you will have direct exposure to high‑visibility business problems that affect millions of members worldwide. Success in this role can open pathways to:
- Leading a larger data engineering squad focused on member experience analytics.
- Transitioning into a data architecture or platform engineering role, influencing enterprise‑wide data strategy.
- Partnering with product leadership to define data‑driven product roadmaps.
- Participating in internal hackathons, research collaborations, and conferences to showcase innovative solutions.
nexahire invests heavily in professional development—offering tuition reimbursement, access to online learning platforms, mentorship programs, and internal tech talks that keep you at the forefront of data engineering excellence.
Work Environment & Culture
Our remote‑first policy empowers you to work from anywhere while staying tightly connected to a global, high‑performing team. nexahire’s culture is built on transparency, freedom, and responsibility. We value diverse perspectives, encourage candid feedback, and celebrate achievements—big and small. You’ll join a small, agile team where your voice matters, and where autonomy is paired with clear expectations and supportive leadership.
Compensation, Perks & Benefits
nexahire offers a competitive compensation package that reflects the market value of senior data engineering talent. The total annual compensation range for this role is $170,000 – $720,000, comprised of a flexible mix of base salary and stock options that you can tailor each year to align with your financial goals.
Our comprehensive benefits suite includes:
- Medical, dental, and vision coverage with options for dependents.
- Robust mental‑health resources, including counseling and wellness programs.
- 401(k) retirement plan with employer matching contributions.
- Generous paid time off—35 days annually for hourly employees and flexible PTO for salaried staff.
- Family‑forming benefits, parental leave, and support for caregivers.
- Disability insurance, health‑savings accounts (HSA), and flexible‑spending accounts (FSA).
- Life and serious injury coverage, as well as paid leave of absence programs.
- Opportunities for continuous learning, certifications, and attendance at industry conferences.
Commitment to Diversity, Equity & Inclusion
nexahire is an equal‑opportunity employer. We celebrate diversity of thought, background, and experience, believing that inclusive teams drive stronger innovation. Our hiring practices, workplace policies, and community initiatives are designed to ensure that every employee feels respected, valued, and empowered to bring their authentic selves to work.
Ready to Make an Impact?
If you are passionate about turning massive streams of raw data into meaningful business intelligence, thrive in a fast‑moving environment, and want to help millions of members enjoy a flawless entertainment experience, we want to hear from you. Join nexahire’s Data Science & Analytics team and become a pivotal part of the journey to redefine global storytelling.
Apply Now and start shaping the future of entertainment at nexahire!
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