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About workpinnacle – Pioneering the Future of Digital Entertainment and Data Innovation
workpinnacle is a global leader in creating immersive digital experiences that delight millions of users every day. With a legacy of groundbreaking storytelling, cutting‑edge technology, and a relentless focus on data‑driven insights, workpinnacle empowers its partners, sponsors, and audiences to discover new possibilities across entertainment, media, and interactive platforms. As we continue to expand our footprint in the fast‑moving world of big data, cloud computing, and AI‑enhanced analytics, we are looking for visionary talent to join our high‑performing Information & Investigation team.
Position Overview
- Start Date: Immediate openings – we’re ready for you to start making an impact.
- Job Title: Lead Data Engineer – Advanced Data Architecture & Big Data Solutions (Remote)
- Location: Remote (U.S. based candidates preferred; occasional on‑site collaboration in San Francisco, USA)
- Compensation: Competitive hourly rate of $24 / hour, with performance‑based incentives.
- Employment Type: Full‑time, 40 hours per week.
- Reporting To: Head of Data Engineering, workpinnacle Information & Investigation Group.
Why This Role Matters
Data is the lifeblood of workpinnacle’s digital ecosystem. From content recommendation engines to real‑time audience engagement dashboards, every decision is powered by reliable, high‑quality data. As a Lead Data Engineer, you will be the architect behind the scenes, designing and delivering robust data pipelines, data warehouses, and analytical platforms that enable our product, marketing, and research teams to turn raw information into actionable intelligence. This is a rare opportunity to shape the data foundation of a world‑renowned entertainment brand—while working remotely and enjoying a flexible schedule.
Key Responsibilities
- Architect & Build Scalable Data Solutions: Design end‑to‑end data pipelines that ingest, transform, and store massive data sets in both cloud and on‑premise environments.
- Develop ETL/ELT Processes: Create reliable, maintainable ETL workflows using modern orchestration tools, ensuring data quality and timeliness.
- Data Warehouse Management: Implement and optimize data warehousing solutions that support ad‑hoc querying, reporting, and machine‑learning workloads.
- Collaborate with Cross‑Functional Teams: Partner with Data Product Managers, Data Modelers, Data Architects, and Analytics Engineers to translate business requirements into technical specifications.
- Maintain Documentation & Governance: Keep comprehensive documentation of data models, pipeline architecture, and change logs to support data governance and compliance.
- Performance Tuning & Optimization: Monitor system performance, troubleshoot bottlenecks, and implement optimizations to meet stringent SLAs.
- Agile Participation: Actively contribute to Scrum ceremonies, sprint planning, and retrospectives to continuously improve delivery velocity and quality.
- Mentorship & Knowledge Sharing: Guide junior engineers, conduct code reviews, and foster a culture of best practices and continuous learning.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
- Technical Foundations: Strong SQL proficiency with the ability to write complex queries and optimize performance.
- Programming Skills: Proficient in Python and Java/Scala for data processing and pipeline development.
- Big Data Experience: Hands‑on experience with large‑scale data processing frameworks (e.g., Hadoop, Spark) and cloud‑based data platforms.
- Data Modeling & Warehousing: Understanding of dimensional modeling, star/snowflake schemas, and data lake concepts.
- Cloud Platforms: Familiarity with major cloud services for storage, compute, and data analytics (e.g., AWS, Azure, GCP).
- Agile Methodologies: Experience working in Scrum or Kanban environments, with a focus on delivering incremental value.
- Problem‑Solving Mindset: Ability to diagnose complex data issues, propose solutions, and communicate findings clearly.
Preferred Qualifications & Additional Skills
- Master’s degree or advanced certifications in data engineering, cloud architecture, or related disciplines.
- Experience with modern data orchestration tools such as Airflow, Prefect, or Dagster.
- Knowledge of streaming technologies (e.g., Kafka, Kinesis) for real‑time data ingestion.
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines for automated deployments.
- Exposure to machine‑learning pipelines and feature stores.
- Strong communication skills, both written and verbal, to convey technical concepts to non‑technical stakeholders.
Core Competencies & Personal Attributes
- Analytical Thinking: Ability to break down complex problems into manageable components and devise data‑centric solutions.
- Collaboration: Team‑player who thrives in a fast‑paced, cross‑functional environment.
- Adaptability: Comfortable navigating evolving technology stacks and shifting business priorities.
- Attention to Detail: Commitment to data accuracy, documentation, and adherence to governance standards.
- Leadership: Demonstrated capacity to mentor junior engineers and lead technical initiatives.
Career Growth & Learning Opportunities
workpinnacle invests heavily in the professional development of its employees. As a Lead Data Engineer, you will have access to:
- Annual training budgets for certifications, conferences, and online courses.
- Mentorship programs pairing you with senior architects and industry experts.
- Opportunities to work on high‑visibility projects that directly influence product strategy.
- Clear promotion pathways—from Lead Engineer to Data Architecture Manager, and eventually to Director of Data Strategy.
Work Environment & Culture at workpinnacle
Our remote‑first philosophy empowers you to work from anywhere while staying deeply connected to a vibrant, inclusive community. workpinnacle fosters a culture of creativity, curiosity, and collaboration. Highlights include:
- Flexible Hours: Choose a schedule that aligns with your personal productivity peaks.
- Inclusive Community: Employee resource groups, diversity initiatives, and regular virtual social events.
- Innovation Labs: Access to cutting‑edge tools and sandbox environments to experiment with emerging technologies.
- Health & Wellness: Comprehensive medical, dental, and vision plans, plus mental‑health resources.
- Generous Time Off: Paid vacation, holidays, and sick leave to maintain work‑life balance.
Compensation, Perks & Benefits
While the base hourly rate is $24, workpinnacle offers a total rewards package designed to support your financial, physical, and emotional well‑being:
- Performance bonuses tied to project milestones and data‑quality metrics.
- Retirement savings plan with company matching contributions.
- Employee stock purchase program (ESPP) allowing you to become a shareholder.
- Technology stipend for home‑office equipment, high‑speed internet, and ergonomic accessories.
- Learning & development budget for certifications, workshops, and industry conferences.
- Access to a global network of experts across entertainment, technology, and data science.
How to Apply
Ready to shape the data future of a world‑renowned entertainment powerhouse? Submit your resume, a concise cover letter highlighting your most relevant projects, and any portfolio links that demonstrate your data‑engineering expertise.
Take the Next Step
Don’t miss this chance to join workpinnacle’s dynamic team, where your technical brilliance will directly influence the experiences of millions worldwide. Apply today and embark on a rewarding career journey with workpinnacle.
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