```html
About nexahire – Pioneering Entertainment‑Driven Data Innovation
nexahire is a global leader in creating immersive digital experiences that delight millions of fans every day. With a portfolio that spans streaming platforms, interactive media, and cutting‑edge analytics, nexahire leverages data as the core engine that powers storytelling, personalization, and business growth. Our Information and Investigation group, part of the nexahire Web‑Based Features division, is dedicated to turning raw data into actionable insights that shape the future of entertainment. As we expand our footprint in the San Francisco tech hub, we are looking for a visionary Lead Data Engineer to join our high‑performing team and drive the next generation of data platforms.
Why This Role Matters
In today’s fast‑moving digital landscape, data is the lifeblood of every successful product. At nexahire, the Lead Data Engineer will be the architect of robust, scalable, and secure data solutions that enable product managers, marketers, and data scientists to make data‑driven decisions with confidence. This role sits at the intersection of technology, business strategy, and creative storytelling, offering a unique opportunity to influence both the technical direction and the overall user experience of nexahire’s flagship services.
Key Responsibilities
- Design and implement end‑to‑end data pipelines that ingest, transform, and store massive volumes of structured and unstructured data across cloud and on‑premise environments.
- Collaborate with Product Owners, Data Modelers, and Data Architects to translate business requirements into high‑performance data architectures.
- Build and maintain data warehousing solutions that support analytics, reporting, and machine‑learning workloads, ensuring optimal query performance and cost efficiency.
- Develop and optimize ETL/ELT processes using modern frameworks such as Apache Spark, Flink, and Airflow, while adhering to best practices for data quality and governance.
- Lead the migration and integration of legacy data systems into cloud‑native platforms like Snowflake, Amazon Redshift, and Google BigQuery.
- Implement robust data security and compliance controls to protect sensitive customer and partner information, aligning with industry standards such as GDPR and CCPA.
- Mentor junior engineers, conduct code reviews, and champion a culture of continuous improvement and knowledge sharing.
- Participate actively in Agile/Scrum ceremonies, contributing to sprint planning, retrospectives, and backlog grooming to ensure timely delivery of high‑quality features.
- Document architecture decisions, data lineage, and operational procedures to facilitate transparency and cross‑team collaboration.
- Monitor system health, troubleshoot performance bottlenecks, and proactively implement enhancements to meet Service Level Agreements (SLAs).
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
- Minimum 5 years of professional experience designing and operating large‑scale data platforms in a fast‑paced environment.
- Deep expertise in SQL and the ability to craft complex queries for analytical and operational workloads.
- Hands‑on experience with big‑data technologies such as Hadoop, Spark, Hive, and Flink.
- Proficiency in at least one programming language used for data engineering, preferably Python, Scala, or Java.
- Demonstrated experience with cloud data warehouses and MPP databases, including Snowflake, Redshift, or BigQuery.
- Solid understanding of data modeling, schema design, and data lake architecture.
- Familiarity with data orchestration tools like Airflow, Luigi, or Prefect.
- Experience working within Agile/Scrum frameworks and a commitment to collaborative, iterative development.
- Strong problem‑solving mindset, excellent communication skills, and the ability to translate technical concepts for non‑technical stakeholders.
Preferred Qualifications & Additional Skills
- Master’s degree or advanced certifications in data engineering, cloud architecture, or related fields.
- Hands‑on experience with AWS services such as S3, EMR, EC2, and Lambda.
- Knowledge of streaming data platforms like Kafka or AWS Kinesis for real‑time analytics.
- Exposure to data governance frameworks and tools (e.g., Apache Atlas, Collibra).
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Track record of delivering data solutions that directly impact revenue growth, user engagement, or operational efficiency.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex data problems and devise elegant, scalable solutions.
- Leadership: Proven capability to lead technical initiatives, mentor team members, and influence cross‑functional stakeholders.
- Communication: Clear, concise, and persuasive communication style, both written and verbal.
- Adaptability: Comfortable navigating a rapidly evolving technology stack and shifting business priorities.
- Quality Focus: Commitment to delivering reliable, well‑documented, and maintainable code.
- Customer‑Centric Mindset: Understanding of how data solutions serve internal and external customers, driving satisfaction and loyalty.
Career Growth & Learning Opportunities
nexahire invests heavily in the professional development of its employees. As a Lead Data Engineer, you will have access to:
- Mentorship from senior architects and industry thought leaders.
- Sponsored certifications and training programs in cloud platforms, data science, and emerging technologies.
- Opportunities to lead high‑visibility projects that directly influence product strategy and revenue.
- Cross‑functional rotations that broaden your expertise across analytics, machine learning, and product development.
- A clear career ladder that can lead to roles such as Data Architecture Director, Head of Data Platform, or Chief Data Officer.
Compensation, Perks & Benefits
nexahire offers a competitive compensation package that includes:
- Base hourly rate of $24 per hour, with eligibility for performance‑based bonuses.
- Comprehensive health, dental, and vision insurance plans.
- Retirement savings options with company matching contributions.
- Generous paid time off, parental leave, and flexible work arrangements.
- Employee wellness programs, including gym memberships and mental‑health resources.
- Access to cutting‑edge technology, cloud credits, and continuous learning platforms.
- Regular team‑building events, hackathons, and community outreach initiatives.
Work Environment & Culture at nexahire
Our San Francisco office is a vibrant, collaborative space designed to inspire creativity and innovation. The culture at nexahire is built on three pillars:
- Innovation: We encourage experimentation and reward bold ideas that push the boundaries of entertainment technology.
- Inclusivity: Diverse perspectives are celebrated, and every voice is heard. We foster an environment where all employees feel valued and empowered.
- Impact: Every project is tied to a larger mission of delivering magical experiences to audiences worldwide. Your work directly contributes to the stories that shape culture.
Whether you thrive in a fast‑paced startup vibe or appreciate the stability of an established leader, nexahire provides the resources, autonomy, and support needed to excel.
Ready to Shape the Future of Data‑Driven Entertainment?
If you are passionate about building world‑class data platforms, love solving complex technical challenges, and want to see your work influence millions of users, nexahire wants to hear from you. Join us in San Francisco and become a key driver of the data revolution that powers the next generation of immersive experiences.
Apply Now – Take the Next Step in Your Data Engineering Career!
``` Apply for this job