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About nexawork
nexawork is a global leader in entertainment technology, delivering immersive experiences across theme parks, media studios, and digital platforms. With a culture that blends creativity, innovation, and data‑driven decision making, nexawork empowers teams to transform raw information into actionable insights that shape the future of storytelling and guest engagement. Whether you’re building next‑generation attractions or powering blockbuster content, you’ll be part of a collaborative environment where curiosity meets impact.
Why This Role Matters
As a Senior Data Engineer at nexawork, you will be the backbone of our data ecosystem, turning complex datasets into clean, reliable pipelines that fuel analytics, machine learning, and operational excellence. Your work will directly influence how we design attractions, optimize guest experiences, and drive revenue across our global portfolio. This is a unique opportunity to blend technical mastery with a passion for storytelling, all while working remotely from anywhere in the world.
Key Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines using Snowflake, PostgreSQL, and other cloud data warehouses.
- Collaborate with cross‑functional teams—including Data Science, Product, and Engineering—to translate business requirements into robust data solutions.
- Lead data ingestion and transformation projects, ensuring data quality, lineage, and governance.
- Develop and manage automated data workflows using Docker, GitLab CI/CD, and scheduling tools such as Airflow or Prefect.
- Implement data validation, monitoring, and alerting to maintain pipeline reliability.
- Document data models, schemas, and API contracts for internal and external stakeholders.
- Mentor junior engineers and data analysts, fostering a culture of continuous learning and best practices.
- Stay abreast of emerging data technologies and propose innovative solutions to enhance nexawork’s data architecture.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Minimum of 2 years of professional experience in ETL/ELT pipeline development and support.
- Proficiency in Python for data manipulation, scripting, and automation.
- Strong SQL skills, with hands‑on experience in Snowflake and PostgreSQL.
- Experience building and maintaining multi‑environment (Dev, QA, Prod) pipelines using GitLab or GitHub.
- Hands‑on knowledge of Docker for containerization and deployment.
- Solid understanding of data modeling concepts and relational database design.
- Excellent problem‑solving skills and a proactive mindset.
Preferred Qualifications
- Experience with cloud platforms such as AWS, Azure, or GCP, especially in data warehousing and analytics services.
- Familiarity with big data frameworks like Databricks, Spark, or Hadoop.
- Knowledge of data governance, security, and compliance best practices.
- Experience with data orchestration tools (Airflow, Prefect, Dagster).
- Background in machine learning pipelines or data science collaboration.
- Previous work in the entertainment, media, or theme‑park industry.
Skills & Competencies
- Technical proficiency in Python, SQL, Docker, Git, and cloud data services.
- Strong analytical mindset with the ability to translate business problems into technical solutions.
- Excellent communication skills—capable of explaining complex data concepts to non‑technical stakeholders.
- Self‑motivated, with a proven track record of delivering high‑quality work on time.
- Team player who thrives in a fast‑paced, collaborative environment.
- Adaptability to evolving technologies and shifting project priorities.
Career Growth & Learning Opportunities
nexawork is committed to your professional development. As a Senior Data Engineer, you will have access to:
- Mentorship from senior architects and data scientists.
- Regular technical workshops, hackathons, and knowledge‑sharing sessions.
- Opportunities to lead high‑impact projects that shape nexawork’s data strategy.
- Clear career pathways to roles such as Lead Data Engineer, Data Architect, or Director of Data Engineering.
- Support for certifications (AWS, Snowflake, Databricks) and attendance at industry conferences.
Work Environment & Culture at nexawork
Remote‑First, Flexible – Work from anywhere while staying connected through virtual collaboration tools. Inclusive & Diverse – We celebrate different perspectives and foster an environment where everyone can thrive. Innovation‑Driven – Your ideas are valued; we encourage experimentation and rapid iteration. Impact‑Focused – Every line of code you write contributes to unforgettable guest experiences and blockbuster content. Community & Collaboration – Regular virtual coffee chats, cross‑team projects, and open forums keep the conversation alive.
Compensation & Benefits
Competitive Salary – $27 per hour, with potential for performance‑based bonuses. Health & Wellness – Comprehensive medical, dental, and vision plans (remote‑eligible). Retirement Savings – 401(k) matching program. Paid Time Off – Generous PTO, sick leave, and flexible holidays. Professional Development – Stipends for courses, certifications, and conference travel. Tech Stipend – Equipment allowance for home office setup. Employee Recognition – Quarterly awards, shout‑outs, and peer recognition programs.
How to Apply
If you’re ready to turn data into stories and drive innovation at nexawork, we’d love to hear from you. Even if you feel you’re not a perfect match, please apply—our hiring process values potential and growth mindset.
Join nexawork Today
At nexawork, we’re building the future of entertainment, one data point at a time. Your expertise will help us create unforgettable experiences for millions of guests worldwide. Take the next step in your career—apply today and become part of a team that turns imagination into reality.
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