About workpinnacle
workpinnacle is a global leader in entertainment, media, and technology solutions, delivering unforgettable experiences to millions of guests worldwide. With a portfolio that spans theme parks, streaming platforms, sports broadcasting, and cutting‑edge digital content, workpinnacle continuously pushes the boundaries of storytelling and innovation. Our Data Science & Innovation (DSI) division empowers every business unit—from immersive theme‑park attractions to streaming services—by turning raw data into actionable insights that drive strategic decisions, operational efficiency, and guest satisfaction.
Why This Role Matters
As a Remote Data Engineer at workpinnacle, you will be at the heart of the Data Engineering team that fuels the analytics engine behind our most beloved experiences. You will design, build, and maintain robust data pipelines that enable data scientists, product managers, and business leaders to access clean, reliable, and timely data. Your work directly influences how workpinnacle creates magical moments for guests, optimizes park operations, and personalizes digital content across the globe.
Key Responsibilities
- Collaborate with Data Science, Product, and Innovation partners to gather detailed data requirements and translate them into scalable pipeline designs.
- Design, develop, and maintain end‑to‑end ETL/ELT workflows using modern data‑engineering tools and best practices.
- Build and monitor data pipelines in Snowflake, PostgreSQL, and other cloud‑based data warehouses, ensuring high availability and performance.
- Write clean, production‑ready Python code for data extraction, transformation, and loading, adhering to coding standards and automated testing frameworks.
- Implement and manage orchestration tools such as Airflow or Prefect to schedule and monitor batch and streaming jobs.
- Develop and enforce data quality checks, validation rules, and automated alerts to guarantee data integrity.
- Participate in code reviews, version control (GitLab/GitHub), and CI/CD pipelines using Docker containers and Kubernetes.
- Document data models, pipeline architectures, and operational procedures for cross‑functional consumption.
- Continuously evaluate emerging technologies (e.g., Databricks, AWS Redshift, Google BigQuery) and recommend improvements to the data platform.
- Provide mentorship and knowledge sharing to junior engineers and analysts, fostering a culture of continuous learning.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
- Experience: Minimum 2 years of hands‑on experience designing, building, and supporting ELT/ETL pipelines in a production environment.
- Technical Proficiency: Strong command of SQL (preferably Snowflake and PostgreSQL) and Python for data manipulation and automation.
- Cloud Experience: Demonstrated ability to work with cloud‑based data platforms (AWS, Azure, or GCP) and familiarity with cloud storage services.
- Version Control: Experience using GitLab or GitHub for source control, branching strategies, and pull‑request workflows.
- Containerization: Practical knowledge of Docker for packaging and deploying data‑engineer workloads.
- Data Modeling: Solid understanding of relational and dimensional data modeling concepts.
- Automation: Experience building and maintaining automated job schedulers (Airflow, Prefect, or similar).
Preferred Qualifications
- Hands‑on experience with large‑scale data sets and distributed processing frameworks such as Databricks, Spark, or Flink.
- Professional certifications in AWS (e.g., AWS Certified Data Analytics) or Snowflake.
- Exposure to streaming data pipelines using Kafka, Kinesis, or Pub/Sub.
- Familiarity with data‑governance tools and metadata management platforms.
- Experience working in a multi‑environment setup (Development, QA, Production) and implementing DevOps practices for data engineering.
Core Skills & Competencies
- Analytical Mindset: Ability to dissect complex business problems and translate them into data‑driven solutions.
- Problem‑Solving: Proactive approach to identifying bottlenecks, troubleshooting pipeline failures, and optimizing performance.
- Communication: Clear written and verbal communication skills to convey technical concepts to non‑technical stakeholders.
- Collaboration: Comfortable working in cross‑functional, remote teams, building strong relationships across geography.
- Adaptability: Thrive in a fast‑paced environment where priorities shift quickly and new technologies emerge regularly.
Career Growth & Learning Opportunities
workpinnacle invests heavily in the professional development of its employees. As a Remote Data Engineer, you will have access to:
- Mentorship programs pairing you with senior data architects and industry experts.
- Annual learning stipend for conferences, certifications, and online courses.
- Internal hackathons and innovation challenges that encourage creative problem‑solving.
- Clear career pathways toward Senior Data Engineer, Data Architecture Lead, or Data Platform Manager roles.
- Opportunities to rotate across different business units—such as theme‑park operations, streaming services, and sports media—to broaden your domain expertise.
Compensation, Perks & Benefits
While the base rate for this position is $27 per hour, workpinnacle offers a comprehensive total rewards package that includes:
- Competitive health, dental, and vision insurance plans.
- 401(k) retirement savings plan with company match.
- Generous paid time off and flexible holiday schedule.
- Remote‑work stipend covering home‑office equipment, internet, and coworking space access.
- Employee assistance program, wellness initiatives, and mental‑health resources.
- Performance‑based bonuses and equity participation for eligible employees.
Work Environment & Culture at workpinnacle
workpinnacle fosters an inclusive, collaborative, and innovative culture where every voice matters. Our remote teams are connected through regular virtual town halls, cross‑functional brainstorming sessions, and social events that celebrate diversity and creativity. We champion:
- Innovation: A “fail fast, learn faster” mindset that encourages experimentation.
- Inclusivity: Employee resource groups, mentorship circles, and a zero‑tolerance policy for discrimination.
- Work‑Life Balance: Flexible schedules, asynchronous communication, and a focus on outcomes rather than hours logged.
- Community Impact: Opportunities to contribute to sustainability initiatives and community outreach programs.
Application Process
If you are passionate about turning data into stories that delight millions and thrive in a dynamic, remote‑first environment, we want to hear from you. To apply, click the link below and submit your resume, a cover letter highlighting your most relevant projects, and any supporting portfolio or GitHub repositories.
Join workpinnacle and Shape the Future of Entertainment
At workpinnacle, data is the backbone of every magical experience we create. By joining our Data Engineering team, you will play a pivotal role in shaping the stories, experiences, and innovations that define the next generation of entertainment. Take the next step in your career—apply today and become part of a world‑class team that turns imagination into reality.
Apply for this job