About careerpulse – Pioneering Entertainment & Advertising Innovation
careerpulse is the world’s leading streaming entertainment platform, delivering premium television series, movies, documentaries, and original content to more than 220 million members across 190+ countries. In November 2022, careerpulse launched a groundbreaking advertising‑supported tier, expanding its audience and creating new revenue streams. This strategic move has sparked a massive demand for sophisticated data‑driven advertising solutions that power everything from ad inventory forecasting to personalized ad experiences. As a result, careerpulse’s Advertising Data Platform (ADP) has become a critical engine for the company’s growth, and the team behind it is looking for a talented Data Engineer to help shape the future of advertising data at scale.
Why This Role Matters
At careerpulse, the Advertising Data Platform sits at the heart of a data ecosystem that fuels the company’s understanding of how advertising impacts subscriber growth, engagement, and revenue. The platform supplies clean, enriched, and highly‑available data to multiple internal stakeholders—including product managers, data scientists, analysts, and machine‑learning engineers—enabling them to build predictive models, conduct rigorous research, and drive strategic decisions. As a Data Engineer on this team, you will own the design, construction, and optimization of core data models and pipelines that power the entire advertising business.
Key Responsibilities
- Design, build, and maintain scalable data models that serve the advertising ecosystem, ensuring they meet performance, reliability, and security standards.
- Develop end‑to‑end data pipelines using distributed processing frameworks (e.g., Spark, Flink, Hive, Hadoop) to ingest, transform, and load data from a variety of sources, including ad servers, third‑party APIs, and internal event streams.
- Collaborate with cross‑functional partners—product owners, data scientists, analytics engineers, and software developers—to translate business requirements into robust data solutions.
- Implement data quality frameworks that automatically detect anomalies, enforce schema validation, and trigger alerts for data integrity issues.
- Optimize existing pipelines for cost‑efficiency and latency, applying best practices in partitioning, indexing, and caching.
- Document data lineage, schemas, and operational procedures to promote transparency and enable self‑service analytics across the organization.
- Mentor junior engineers and contribute to the team’s engineering culture by advocating for clean code, testability, and continuous integration/continuous deployment (CI/CD) pipelines.
- Stay current with emerging technologies and industry trends, evaluating their applicability to careerpulse’s advertising data challenges.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
- Professional Experience: Minimum 3 years of hands‑on experience building large‑scale data pipelines and data models in a production environment.
- Technical Proficiency: Strong command of SQL and Python for data manipulation, with the ability to write complex queries and scripts efficiently.
- Distributed Systems Expertise: Demonstrated experience with at least one distributed processing engine such as Spark, Flink, Hive, or Hadoop.
- Data Modeling Skills: Proven ability to design normalized and denormalized schemas that support both analytical and operational workloads.
- Problem‑Solving Acumen: Ability to dissect ambiguous business problems, propose data‑centric solutions, and iterate quickly based on feedback.
- Communication: Clear, concise, and persuasive communicator who can translate technical concepts for non‑technical audiences.
Preferred Qualifications
- Experience with advertising data domains, including ad inventory, impression tracking, and revenue attribution.
- Familiarity with GDPR, CCPA, and other privacy regulations as they pertain to data handling and storage.
- Hands‑on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery.
- Knowledge of data visualization tools (e.g., Looker, Tableau, Power BI) to support stakeholder reporting.
- Exposure to machine‑learning pipelines and feature engineering for predictive advertising models.
- Proficiency with version‑control and collaborative development tools (Git, GitHub, GitLab) and CI/CD frameworks.
Core Skills & Competencies
- Analytical Mindset: Passion for data quality, integrity, and the ability to surface insights that drive business impact.
- Scalability Focus: Experience designing systems that handle petabyte‑scale data volumes while maintaining low latency.
- Collaboration: Comfortable working in fast‑paced, cross‑functional teams and building strong relationships with product, research, and engineering partners.
- Adaptability: Thrive in an environment of rapid change, handling shifting priorities and ambiguous requirements with poise.
- Code Craftsmanship: Commitment to writing clean, maintainable, and well‑documented code, with an emphasis on testability and performance.
- Self‑Direction: Ability to work independently, take ownership of deliverables, and drive projects to completion without micromanagement.
Career Growth & Learning Opportunities
careerpulse invests heavily in the professional development of its employees. As a Data Engineer on the Advertising Data Platform, you will have access to:
- Mentorship from senior data architects and industry‑leading data scientists.
- Internal training programs covering advanced topics such as real‑time streaming, data mesh architecture, and AI‑driven analytics.
- Opportunities to attend leading conferences (e.g., Strata Data, KubeCon, Advertising Week) and bring back fresh ideas to the team.
- A clear career ladder that can lead to senior engineering roles, data platform ownership, or transition into data science leadership.
Work Environment & Culture at careerpulse
careerpulse fosters a culture of curiosity, inclusion, and impact. Our teams are empowered to experiment, fail fast, and iterate. Key cultural pillars include:
- Innovation First: We encourage bold ideas and provide the resources needed to turn them into reality.
- Data‑Driven Decision Making: Every product and feature is backed by rigorous analysis and measurable outcomes.
- Collaboration & Transparency: Open communication channels, regular knowledge‑sharing sessions, and cross‑team hackathons.
- Diversity & Inclusion: A commitment to building a workforce that reflects the global audience we serve.
- Work‑Life Balance: Flexible working hours, remote‑work options, and generous paid time off to recharge.
Compensation, Perks, & Benefits
careerpulse offers a competitive hourly rate of $25 / 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 for courses, certifications, and conferences.
- Wellness programs, including mental‑health resources, gym memberships, and on‑site amenities.
- Pet‑friendly office spaces and occasional team‑building retreats.
How to Apply
If you are excited about building the data backbone that powers the next generation of advertising at a global entertainment leader, we want to hear from you. Click the link below to submit your application, attach your resume, and share a brief cover letter highlighting your most relevant experience.
Apply Now – Join careerpulse’s Advertising Data Platform Team!
Closing Statement
careerpulse is on a mission to redefine how audiences experience entertainment and advertising. By joining our Advertising Data Platform team, you will play a pivotal role in shaping the data infrastructure that fuels this transformation. Bring your expertise, curiosity, and passion for data—together we’ll build the future of advertising at scale. Apply today and become part of a vibrant, forward‑thinking community that values impact, innovation, and personal growth.
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