About careerforge
careerforge is a global leader in delivering immersive entertainment experiences to millions of users worldwide. With a portfolio that spans streaming media, interactive gaming, and cutting‑edge content creation, careerforge is redefining how stories are told and shared. Our mission is simple: to connect people through compelling, personalized content that feels like home. To achieve this, we rely on data—every click, pause, and rewind tells us something about our audience, and we turn those insights into action.
As a fully remote, high‑growth organization, careerforge empowers its teams to work from anywhere while fostering a culture of collaboration, innovation, and continuous learning. We celebrate diversity, encourage bold ideas, and reward results with a competitive compensation package that reflects the value of our people.
Why This Role Matters
Customer experience is the heartbeat of careerforge. Our Customer Service (CS) team is the first line of support for millions of users across 25 languages. The data we collect from CS interactions is a goldmine for improving product quality, streamlining support workflows, and ultimately keeping our members happy and engaged.
As a Level 5 Data Engineer, you will be the architect behind the data pipelines that power CS analytics. You will transform raw interaction logs into actionable metrics, build scalable data models, and create visual tools that help CS leaders make data‑driven decisions. Your work will directly influence how we resolve member issues faster, reduce churn, and enhance the overall streaming experience.
Key Responsibilities
- Design & Build Scalable Pipelines: Develop end‑to‑end data pipelines that ingest, cleanse, and transform large volumes of CS interaction data (10s of millions of records) using modern big‑data technologies such as Hive, Presto, Spark, and Flink.
- Data Modeling & Architecture: Create flexible, future‑proof data models that adapt to evolving source schemas and business requirements. Ensure that data structures support both real‑time and batch processing needs.
- SQL & Code Excellence: Write clean, maintainable Python or Scala code and advanced SQL queries. Champion best practices for code quality, version control, and automated testing.
- Metric Development: Collaborate with CS analysts and product managers to define key performance indicators (KPIs), build dashboards, and surface insights that drive operational improvements.
- Cross‑Functional Collaboration: Partner with software engineers, data scientists, and business stakeholders to align data solutions with product roadmaps and customer‑centric initiatives.
- Data Quality & Governance: Implement rigorous data validation, monitoring, and alerting to ensure high data integrity. Advocate for data quality across the organization.
- Continuous Improvement: Stay abreast of emerging data engineering tools and techniques. Propose and prototype innovative solutions that enhance pipeline performance and reduce latency.
- Mentorship & Knowledge Sharing: Lead by example, share best practices, and mentor junior engineers on the team.
Essential Qualifications
- Minimum 4 years of professional experience building data pipelines in a production environment.
- Proficiency with big‑data ecosystems: Hive, Presto, Spark, Flink, or equivalent.
- Strong data modeling skills—experience designing schemas that evolve with business needs.
- Expertise in Python or Scala for data engineering tasks.
- Advanced SQL capabilities and a track record of writing efficient, maintainable queries.
- Demonstrated ability to translate business problems into technical solutions and prioritize work autonomously.
- Excellent communication skills, with a proven ability to collaborate effectively with analysts, engineers, and business leaders.
Preferred Qualifications
- Experience with cloud data platforms (AWS, GCP, Azure) and managed services such as Redshift, BigQuery, or Snowflake.
- Knowledge of data visualization tools (Looker, Tableau, Power BI) and experience building interactive dashboards.
- Background in customer‑service analytics or a related domain.
- Familiarity with data governance frameworks and metadata management.
- Experience with CI/CD pipelines for data engineering workflows.
Skills & Competencies
- Technical Leadership – Ability to make sound architectural decisions and guide the team toward best practices.
- Problem‑Solving – Strong analytical mindset to dissect complex data challenges and devise elegant solutions.
- Communication – Clear articulation of technical concepts to non‑technical stakeholders.
- Adaptability – Comfortable working in a fast‑paced, evolving environment with shifting priorities.
- Collaboration – Proven track record of working cross‑functionally to deliver high‑impact results.
Career Growth & Learning Opportunities
At careerforge, your growth is our priority. As a Level 5 Data Engineer, you will:
- Progress to senior or lead roles within the Data Engineering or Analytics organization.
- Take ownership of high‑visibility projects that shape the CS strategy.
- Participate in internal hackathons, tech talks, and knowledge‑sharing sessions.
- Access to a curated learning budget for courses, certifications, and conferences.
- Mentorship from senior leaders and a culture that rewards curiosity and initiative.
Work Environment & Culture
Remote by default, careerforge offers a flexible work schedule that respects your personal commitments while ensuring alignment with global teams. Our culture is built on:
- Transparency: Open communication channels, regular all‑hands meetings, and clear decision‑making processes.
- Innovation: A safe space to experiment, fail fast, and iterate.
- Diversity & Inclusion: A commitment to building a workforce that reflects the world we serve.
- Well‑being: Comprehensive mental health support, flexible time off, and wellness programs.
- Impact: Every team member’s work directly influences the experience of millions of users.
Compensation & Benefits
While the exact salary range for this role is tailored to market benchmarks and your experience, careerforge offers a competitive package that includes:
- Base salary aligned with industry standards.
- Equity options that allow you to share in the company’s long‑term success.
- Health, dental, and vision insurance plans.
- 401(k) retirement plan with company match.
- Generous paid time off, including vacation, holidays, and sick leave.
- Flexible spending accounts for health and dependent care.
- Professional development stipend and access to learning platforms.
- Regular wellness initiatives, including virtual fitness classes and mental health resources.
How to Apply
If you are passionate about turning data into action, thrive in a remote, collaborative environment, and want to shape the future of customer experience at careerforge, we would love to hear from you.
Submit your resume and a brief cover letter outlining why you’re the perfect fit for this role. We’ll review your application promptly and reach out to schedule a conversation.
Join careerforge and help us create unforgettable moments for millions of users around the globe.
Apply for this job