About workpinnacle
workpinnacle is a trailblazing global entertainment and media powerhouse that redefines how audiences experience storytelling, sports, and news. With a portfolio that spans award‑winning streaming platforms, live sports broadcasts, and immersive digital experiences, workpinnacle is at the forefront of the next wave of media innovation. Our mission is simple yet ambitious: to deliver unforgettable moments that connect people across the world, while continuously pushing the boundaries of technology and creativity.
As a leader in the industry, workpinnacle invests heavily in cutting‑edge data infrastructure to power everything from personalized content recommendations to real‑time analytics that drive business decisions. Our data teams are the backbone of this transformation, turning raw information into actionable insights that shape product strategy, marketing, and operations across a global audience of millions.
Why Join workpinnacle?
Working at workpinnacle means you’ll be part of a culture that celebrates curiosity, collaboration, and bold experimentation. You’ll have the chance to:
- Shape the future of media by building scalable, high‑performance data pipelines that support our flagship streaming services.
- Collaborate with cross‑functional teams—including product, engineering, data science, and marketing—to deliver data‑driven solutions that delight users worldwide.
- Leverage the latest cloud technologies (AWS, Terraform, Airflow, Kafka, etc.) to solve complex, real‑world challenges.
- Mentor and grow with a community of talented engineers who are passionate about learning and innovation.
- Benefit from a flexible, inclusive work environment that supports work‑life balance and professional growth.
Job Summary
We are seeking an experienced Lead Data Engineer to spearhead the expansion of our data platform. In this role, you will be embedded within the Orchestration team, responsible for designing, building, and maintaining the workflow scheduling and data ingestion infrastructure that fuels analytics, operations, and data science across workpinnacle’s streaming ecosystem—including workpinnacle+, workpinnacle Hulu, and workpinnacle Sports+.
Your leadership will ensure that our data pipelines are reliable, scalable, and secure, enabling teams to deliver insights and features at speed while maintaining the highest standards of quality and compliance.
Key Responsibilities
- Lead a high‑performing engineering team that builds and operates large‑scale data processing environments for real‑time and batch workloads.
- Architect and implement end‑to‑end data pipelines that ingest, transform, and store data from a variety of sources, ensuring data quality, lineage, and compliance.
- Design and maintain CI/CD pipelines for infrastructure and data services, using tools such as Terraform, GitHub Actions, and AWS CodePipeline.
- Champion best practices in software engineering, data architecture, and security across the organization, fostering a culture of continuous improvement.
- Develop and maintain data discovery and lineage tools that empower data consumers to understand data provenance and trust the data they use.
- Drive the adoption of privacy and compliance frameworks (GDPR, CCPA, etc.) across all data assets.
- Mentor junior engineers, providing technical guidance, code reviews, and career development support.
- Collaborate with product managers, data scientists, and business stakeholders to translate business requirements into robust data solutions.
- Identify and evaluate emerging technologies that can enhance our data platform’s performance, reliability, and cost efficiency.
- Represent the data engineering community in cross‑functional initiatives, ensuring alignment with workpinnacle’s broader technology strategy.
Essential Qualifications
- 3+ years of professional experience in data engineering or a related field.
- Proficiency in Python and Scala, with a strong grasp of functional programming concepts.
- Hands‑on experience deploying and operating cloud‑based data solutions, preferably on AWS (EC2, S3, Redshift, Athena, Glue, EMR, Kinesis).
- Deep knowledge of infrastructure‑as‑code tools such as Terraform or CloudFormation.
- Strong understanding of data modeling, ETL/ELT processes, and data warehousing principles.
- Excellent communication skills—both written and verbal—enabling effective collaboration across technical and non‑technical teams.
- Demonstrated ability to lead and mentor engineering teams, fostering a culture of ownership and continuous learning.
Preferred Qualifications
- Master’s degree in Computer Science, Data Engineering, or a related discipline.
- Experience with real‑time data streaming platforms such as Apache Kafka or Amazon Kinesis.
- Proficiency with workflow orchestration tools, especially Apache Airflow.
- Hands‑on experience with data cataloging and lineage tools (e.g., Amundsen, DataHub).
- Knowledge of data privacy regulations (GDPR, CCPA) and experience implementing compliance controls.
- Familiarity with containerization (Docker, Kubernetes) and serverless architectures.
- Experience in a high‑growth, fast‑paced startup or media environment.
Skills & Competencies
- Technical Leadership – Ability to set a clear technical vision and guide a team toward it.
- Problem‑Solving – Strong analytical skills to diagnose complex data pipeline issues and devise elegant solutions.
- Communication – Clear articulation of technical concepts to stakeholders at all levels.
- Collaboration – Proven track record of working effectively with cross‑functional teams.
- Adaptability – Comfortable navigating ambiguity and rapidly changing priorities.
- Mentorship – Passion for coaching junior engineers and fostering a learning culture.
- Innovation – Curiosity to explore new tools and techniques that can improve performance and reduce costs.
Career Growth & Learning Opportunities
At workpinnacle, your career path is defined by the impact you create. As Lead Data Engineer, you’ll:
- Progress to senior leadership roles such as Principal Data Engineer, Head of Data Engineering, or Chief Data Officer.
- Take ownership of cross‑domain initiatives, influencing product strategy and technology direction.
- Participate in workpinnacle’s internal learning programs, including tech talks, hackathons, and mentorship circles.
- Attend industry conferences and workshops to stay ahead of emerging trends in data engineering and cloud computing.
- Benefit from a generous budget for certifications (AWS, GCP, Azure, etc.) and advanced coursework.
Work Environment & Culture
Our engineering culture is built on three pillars: Innovation, Collaboration, and Inclusivity. You’ll find a supportive environment where:
- Ideas are welcomed and evaluated on merit, not hierarchy.
- Teams are cross‑functional, with engineers, product managers, designers, and data scientists working side by side.
- Remote work is fully supported, with flexible schedules and robust virtual collaboration tools.
- Employees are encouraged to pursue side projects and hackathons that align with workpinnacle’s mission.
- Diversity and inclusion are not buzzwords—they’re embedded in hiring practices, mentorship programs, and community outreach.
Compensation & Perks
While the base hourly rate for this role ranges from $35 to $45, workpinnacle offers a comprehensive benefits package that includes:
- Competitive salary with performance‑based bonuses and long‑term incentive plans.
- Health, dental, and vision insurance for full‑time employees.
- Retirement savings plans with company matching.
- Generous paid time off, including vacation, sick leave, and personal days.
- Professional development stipend for courses, certifications, and conferences.
- Flexible work arrangements, including remote work options and flexible hours.
- Employee wellness programs, including mental health resources and fitness reimbursements.
- Access to workpinnacle’s global network of events, meetups, and community initiatives.
- Special perks such as discounted streaming subscriptions, merchandise, and exclusive event tickets.
How to Apply
If you’re ready to lead the next generation of data engineering at workpinnacle, we’d love to hear from you. Submit your application through our careers portal or reach out directly to our recruiting team. Even if you feel you’re not a perfect match, we encourage you to apply—you might be the missing piece we’ve been searching for.
Join workpinnacle and help us create the future of media—one data pipeline at a time.
Apply for this job