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About talentedge – Pioneering the Future of Digital Entertainment
talentedge 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, talentedge empowers storytellers, advertisers, and developers to deliver content that resonates across cultures and devices. Our commitment to innovation is matched only by our dedication to data‑driven decision making, which fuels everything from product design to audience engagement strategies. As part of our rapidly expanding Information and Investigation group, you will join a team that transforms raw data into actionable insights, shaping the next generation of entertainment experiences.
Why This Role Matters
In today’s hyper‑connected world, data is the lifeblood of every successful entertainment operation. The Lead Data Engineer position sits at the heart of talentedge’s data ecosystem, driving the design, development, and optimization of large‑scale data platforms that support critical business functions such as product configuration, advertising effectiveness measurement, and new revenue‑generation initiatives. Your work will directly influence how talentedge’s partners, sponsors, and internal teams make smarter, faster decisions.
Key Responsibilities
- Architect and implement robust data products that serve the Commitment and Maintenance Investigation and Data Science teams, ensuring scalability, reliability, and performance.
- Design and build end‑to‑end ETL pipelines in large‑data environments (cloud, on‑premise, hybrid) using industry‑leading technologies.
- Leverage our modern tech stack—including Hadoop, AWS, Snowflake, Flink, and Kafka—to ingest, process, and store petabytes of structured and unstructured data.
- Collaborate with Data Product Owners, Data Modelers, and Data Architects to define data models, create data marts, and deliver high‑quality data solutions.
- Maintain comprehensive documentation of data pipelines, schemas, and operational procedures to support data governance and quality initiatives.
- Monitor and tune system performance to meet Service Level Agreements (SLAs) and uphold the high availability expectations of internal and external stakeholders.
- Participate actively in Agile/Scrum ceremonies, contributing to sprint planning, retrospectives, and continuous improvement efforts.
- Mentor junior engineers and foster a culture of knowledge sharing, code reviews, and best‑practice adoption.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline.
- Minimum of 5 years of hands‑on experience designing and operating large‑scale data platforms.
- Deep expertise in SQL and the ability to craft performant queries against massive datasets.
- Proficiency with big‑data frameworks such as Hadoop (HDFS, Hive, Impala) and Spark (PySpark, Scala).
- Strong programming skills in Python and either Java or Scala.
- Experience with at least one major MPP or cloud data‑warehouse technology (Snowflake, Redshift, BigQuery, etc.).
- Hands‑on experience building and maintaining data pipelines using tools like Apache Flink, Kafka, or similar streaming platforms.
- Solid understanding of data modeling, data warehousing design patterns, and best practices for data quality and governance.
- Familiarity with Agile methodologies, particularly Scrum, and the ability to thrive in fast‑paced, collaborative environments.
Preferred Qualifications & Nice‑to‑Have Skills
- Master’s degree or advanced certifications in data engineering, cloud architecture, or related fields.
- Hands‑on experience with AWS services (S3, EMR, EC2, Lambda) and infrastructure‑as‑code tools such as Terraform or CloudFormation.
- Exposure to machine‑learning pipelines and the ability to collaborate with data scientists on feature engineering.
- Knowledge of data security and compliance frameworks (e.g., GDPR, CCPA) as they apply to large‑scale data platforms.
- Demonstrated track record of leading cross‑functional projects from concept to production.
Core Skills & Competencies
- Analytical mindset: Ability to dissect complex problems, identify root causes, and propose data‑driven solutions.
- Communication: Clear articulation of technical concepts to both technical and non‑technical audiences.
- Collaboration: Proven teamwork skills, with a focus on building strong relationships across product, analytics, and engineering teams.
- Ownership: Proactive attitude toward end‑to‑end responsibility for data solutions, from design through production support.
- Adaptability: Comfort navigating evolving technology stacks and shifting business priorities.
Career Growth & Learning Opportunities
talentedge 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 (AWS Certified Data Analytics, SnowPro Core, etc.) and tuition reimbursement for advanced degrees.
- Opportunities to work on high‑visibility projects that directly impact global product strategy.
- Cross‑functional rotations that broaden expertise in analytics, product management, and cloud operations.
- Regular internal tech talks, hackathons, and innovation labs that encourage experimentation.
Work Environment & Culture at talentedge
Our San Francisco office blends a vibrant, collaborative atmosphere with the flexibility of modern remote‑first policies. Key cultural pillars include:
- Innovation first: We celebrate curiosity and encourage team members to explore new ideas.
- Inclusivity: Diverse perspectives are valued, and we foster an environment where every voice is heard.
- Work‑life balance: Competitive paid time off, flexible scheduling, and wellness programs support holistic well‑being.
- Community impact: talentedge partners with charitable organizations and offers volunteer days to give back.
Compensation, Perks & Benefits
talentedge offers a market‑competitive hourly rate of $24 per hour, complemented by a comprehensive benefits package that includes:
- Health, dental, and vision insurance with multiple plan options.
- 401(k) retirement savings plan with company match.
- Generous paid parental leave and family‑friendly policies.
- Employee stock purchase program (ESPP) and performance‑based bonuses.
- Professional development stipend, on‑site gym, and catered meals.
- Transportation subsidies and commuter benefits for San Francisco office commuters.
How to Apply
If you are passionate about building world‑class data platforms and want to make a tangible impact on the future of digital entertainment, we want to hear from you. Click the link below to submit your application and begin your journey with talentedge.
Apply Now – Join talentedge Today!
Closing Statement
talentedge is more than a workplace; it’s a launchpad for innovators who thrive on challenge, collaboration, and creativity. By joining our team as a Lead Data Engineer, you will help shape the data foundation that powers unforgettable experiences for audiences worldwide. Take the next step in your career—apply today and become a pivotal part of talentedge’s data‑driven future.
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