Lead Data Engineer – Big Data & Cloud Solutions – careerzynith – $24/hr – No Experience Required – Full‑Time, San Francisco

About careerzynith – Pioneering Innovation in Entertainment & Media Technology

careerzynith is a global leader at the intersection of entertainment, media, and cutting‑edge technology. With a legacy of creating unforgettable experiences for millions of fans worldwide, careerzynith continuously invests in data‑driven insights to power its next‑generation digital platforms. Our Information and Investigation group, part of the careerzynith Web‑Based Features division, fuels the imagination of audiences by turning raw data into actionable intelligence. As we expand our footprint in the fast‑moving world of streaming, gaming, and interactive media, we are looking for a visionary Lead Data Engineer to join our high‑performing team in San Francisco.

Why This Role Matters

Data is the lifeblood of careerzynith’s creative and commercial engines. From optimizing content recommendation algorithms to enhancing advertising effectiveness and uncovering new revenue streams, the insights we generate directly influence the experiences of our global audience. As a Lead Data Engineer, you will architect and scale the data platforms that enable these breakthroughs, ensuring that our data pipelines are robust, performant, and future‑ready.

Key Responsibilities

• Architectural Leadership: Design and evolve careerzynith’s enterprise‑wide data products and data warehouses, focusing on reliability, scalability, and security.
• ETL Development: Build, maintain, and optimize complex ETL pipelines in large‑scale data environments (cloud, on‑premises, hybrid) using industry‑standard tools.
• Technology Stack Management: Leverage Hadoop, AWS, Snowflake, Flink, and streaming technologies; write production‑grade code in Python, Scala, and Java.
• Collaboration: Partner with Data Product Owners, Data Modelers, and Data Architects to translate business requirements into technical solutions.
• Documentation & Governance: Maintain meticulous documentation of data flows, schema changes, and pipeline configurations to support data quality and governance initiatives.
• Performance Tuning: Ensure high functional performance and reliability of data solutions to meet Service Level Agreements (SLAs) for internal analytics and external client services.
• Agile Participation: Actively contribute to Scrum ceremonies, champion continuous improvement, and mentor junior engineers in agile best practices.
• Innovation: Stay ahead of emerging data technologies and propose strategic enhancements that keep careerzynith at the forefront of the industry.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline.
• Strong SQL expertise with the ability to craft efficient queries across diverse data sources.
• Hands‑on experience with Hadoop ecosystem components (HDFS, Hive, Impala, PySpark) for data processing at scale.
• Proficient programming skills in Python and either Java or Scala.
• Demonstrated experience with at least one major MPP or cloud data warehouse technology (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with data integration tools and streaming platforms such as Apache Flink or Kafka.
• Solid understanding of data modeling, data warehousing best practices, and dimensional design.
• Experience working in Scrum or other Agile frameworks.
• Excellent problem‑solving abilities, strong communication skills, and a collaborative mindset.

Preferred Qualifications & Additional Skills

• Experience with AWS services (S3, EMR, EC2, Lambda) and cloud‑native data pipelines.
• Knowledge of containerization (Docker, Kubernetes) for deploying data workloads.
• Exposure to machine‑learning pipelines and feature‑store concepts.
• Certification in cloud platforms (AWS Certified Data Analytics, Google Cloud Professional Data Engineer, etc.).
• Track record of leading cross‑functional teams and delivering large‑scale data projects on time.

Skills & Competencies for Success

• Analytical Mindset: Ability to translate complex business problems into data‑centric solutions.
• Technical Depth: Mastery of data engineering tools, languages, and architectural patterns.
• Leadership & Mentorship: Guide junior engineers, foster knowledge sharing, and champion best practices.
• Communication: Clearly articulate technical concepts to non‑technical stakeholders.
• Adaptability: Thrive in a fast‑changing environment and quickly adopt new technologies.
• Quality Focus: Commitment to data integrity, security, and compliance.

Career Growth & Learning Opportunities

careerzynith 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 veterans.
• Sponsored certifications and training programs in cloud, big data, and AI.
• Opportunities to lead high‑visibility projects that directly impact global product strategy.
• Cross‑departmental rotations to broaden your expertise in analytics, product management, and business intelligence.
• A clear promotion pathway toward Principal Engineer, Data Platform Manager, or Director of Data Engineering.

Compensation, Perks & Benefits

careerzynith offers a competitive hourly rate of $24, complemented by a comprehensive benefits package that includes:

• Health, dental, and vision insurance with generous employer contributions.
• 401(k) plan with company match and financial wellness resources.
• Flexible work arrangements, including hybrid remote options.
• Paid time off, holidays, and parental leave.
• On‑site amenities such as gourmet cafeterias, fitness centers, and wellness programs.
• Employee assistance programs, continuous learning stipends, and tech equipment allowances.

Work Environment & Culture at careerzynith

Our San Francisco office is a vibrant hub where creativity meets technology. The culture at careerzynith is built on:

• Innovation First: We encourage experimentation and reward bold ideas that drive the business forward.
• Collaboration: Cross‑functional teams work side‑by‑side, fostering a sense of shared ownership.
• Diversity & Inclusion: A commitment to building a workforce that reflects the global audience we serve.
• Fun & Celebration: Regular team events, hackathons, and community outreach initiatives.
• Purpose‑Driven Work: Every data solution you build helps shape the entertainment experiences of millions.

How to Apply

If you are ready to lead the data engineering charge at a world‑class entertainment technology company, we want to hear from you. Click the link below to submit your application, attach your resume, and tell us why you’re the perfect fit for careerzynith’s dynamic team.

Apply Now – Join careerzynith!

Closing Statement

careerzynith is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Take the next step in your career and help us turn data into unforgettable experiences for audiences around the globe.