About careerzynith
careerzynith is a global leader in entertainment‑driven technology, delivering innovative digital experiences that delight millions of users worldwide. With a heritage rooted in storytelling and a forward‑looking focus on data‑powered insights, careerzynith empowers its partners, advertisers, and content creators to make smarter decisions, faster. Our Information and Investigation group fuels the next generation of web‑based features, driving revenue growth, audience engagement, and operational excellence across a portfolio of high‑impact products.
Based in the vibrant tech hub of San Francisco, careerzynith offers a collaborative, fast‑paced environment where curiosity is celebrated and bold ideas become reality. Whether you’re just starting your career or looking to deepen your expertise, careerzynith provides the tools, mentorship, and culture you need to thrive.
Why This Role Matters
As a Lead Data Engineer at careerzynith, you will be at the heart of our data‑centric strategy. You’ll design, build, and maintain the data infrastructure that powers critical business decisions, from product configuration and pricing analytics to customer acquisition and market expansion. Your work will directly influence how careerzynith delivers value to its clients, sponsors, and content partners, ensuring that data is reliable, accessible, and actionable.
Key Responsibilities
- Architect Data Solutions: Lead the design and implementation of scalable data products and data warehouses that support careerzynith’s Commitment and Maintenance Investigation and Data Science initiatives.
- Build Robust ETL Pipelines: Develop, test, and maintain ETL pipelines in large‑scale data environments (cloud, on‑premise, hybrid) using industry‑leading technologies.
- Leverage Cutting‑Edge Tech Stack: Work with Hadoop, AWS, Snowflake, Flink, and Kafka, writing production‑grade code in Python, Scala, and Java.
- Collaborate Across Teams: Partner with Data Product Owners, Data Modelers, and Data Architects to design, implement, and deliver high‑performance data solutions that meet business requirements.
- Document & Govern Data: Maintain meticulous documentation of data pipelines, schema changes, and data quality metrics to support governance and compliance.
- Ensure SLA Compliance: Monitor and optimize the performance and reliability of data solutions to meet service‑level agreements and support the needs of Data Science and Analytics teams.
- Participate in Agile Practices: Actively contribute to Scrum ceremonies, champion continuous improvement, and help the team adopt best practices for rapid delivery.
- Mentor Junior Engineers: Share knowledge, conduct code reviews, and foster a culture of learning and technical excellence within the data engineering team.
Essential Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
- Strong proficiency in SQL with the ability to craft complex queries and optimize performance across large datasets.
- Hands‑on experience with big‑data frameworks such as Hadoop (HDFS, Hive, Impala, PySpark) and stream‑processing platforms like Flink or Kafka.
- Solid programming skills in Python and either Java or Scala, with a focus on building production‑grade data pipelines.
- Experience with at least one major MPP or cloud data warehouse technology (e.g., Snowflake, Amazon Redshift, Google BigQuery).
- Familiarity with data integration tools and pipelines (e.g., Airflow, Luigi, or custom orchestration scripts).
- Understanding of data modeling, data warehousing best practices, and dimensional modeling techniques.
- Exposure to Agile and Scrum methodologies, with a track record of contributing to high‑performing, cross‑functional teams.
Preferred Qualifications & Experience
- Hands‑on experience with AWS services such as S3, EMR, EC2, and Lambda.
- Knowledge of containerization (Docker, Kubernetes) for deploying data workloads.
- Experience building real‑time data pipelines using Kafka, Flink, or similar streaming technologies.
- Background in the entertainment, media, or advertising technology sectors.
- Professional certifications in cloud platforms (AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, etc.).
- Demonstrated ability to solve complex problems with a blend of analytical rigor and creative thinking.
Core Skills & Competencies
- Analytical Mindset: Ability to translate business questions into data solutions and derive actionable insights.
- Collaboration: Strong interpersonal skills to work effectively with product managers, data scientists, and business stakeholders.
- Communication: Clear articulation of technical concepts to non‑technical audiences, both written and verbal.
- Attention to Detail: Commitment to data quality, documentation, and reproducibility.
- Adaptability: Comfort navigating a fast‑changing environment and quickly learning new technologies.
- Leadership: Ability to guide junior engineers, set technical direction, and influence architectural decisions.
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 experts.
- Sponsored certifications and training programs in cloud, big data, and data science.
- Opportunities to lead high‑visibility projects that shape the company’s data strategy.
- Cross‑functional rotations that broaden your skill set across product, analytics, and engineering domains.
- Attendance at leading conferences (e.g., Strata Data Conference, AWS re:Invent) and internal tech talks.
Work Environment & Culture at careerzynith
Our San Francisco office blends modern design with collaborative spaces, offering a vibrant atmosphere that encourages creativity. Key cultural pillars include:
- Innovation First: We champion experimentation and reward bold ideas that drive impact.
- Inclusivity & Belonging: A diverse workforce where every voice is heard and respected.
- Work‑Life Harmony: Flexible hours, remote‑work options, and generous paid time off to support personal well‑being.
- Community Impact: Opportunities to contribute to social responsibility initiatives and community outreach programs.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $24 per hour, reflecting the value we place on talent and expertise. In addition to base compensation, you can expect:
- Comprehensive health, dental, and vision insurance plans.
- Retirement savings options with company matching.
- Generous paid parental leave and family‑friendly policies.
- Employee wellness programs, including gym memberships and mental‑health resources.
- Free meals, snacks, and beverages on‑site.
- Transportation subsidies and parking assistance for San Francisco commuters.
- Performance‑based bonuses and stock‑option opportunities.
How to Apply
If you are passionate about turning massive data sets into strategic assets and thrive in a collaborative, fast‑moving environment, careerzynith wants 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 this role.
Apply Now – Join careerzynith’s Data Engineering Team!
Closing Statement
At careerzynith, data is more than just numbers—it’s the engine that powers unforgettable experiences for audiences around the globe. By joining our team, you’ll help shape the future of entertainment technology while advancing your own career in a supportive, innovative setting. Don’t miss the chance to make a lasting impact—apply today and start your journey with careerzynith!
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