Why skillspath?
skillspath is a world‑renowned leader in entertainment, media, and digital experiences, delivering unforgettable stories to millions of fans every day. Our data‑driven culture powers everything from blockbuster productions to cutting‑edge streaming services. As we expand our global data platform, we are looking for visionary engineers who can turn raw data into actionable insights. Join a team where creativity meets technology, and where your work directly influences the magic that audiences love.
Position Overview
We are seeking a highly motivated Senior Remote Data Engineer to design, build, and maintain robust ETL/ELT pipelines for skillspath’s Information Designing group. This role is 100% remote, offers a competitive hourly rate of $28, and provides immediate start dates for qualified candidates. You will collaborate with cross‑functional Studio and Project Innovation teams, translating complex data requirements into scalable, production‑grade solutions that run on industry‑leading cloud platforms.
Key Responsibilities
- Pipeline Architecture: Design, develop, and optimize end‑to‑end ETL/ELT data pipelines using SQL, Python, Apache Spark, and modern orchestration tools.
- Data Modeling: Create and maintain logical and physical data models, including dataset mapping, table design, and view creation to support analytics and reporting.
- Cloud Integration: Deploy and manage data workloads on AWS (S3, Redshift, Glue) and Snowflake, ensuring high availability, security, and cost‑efficiency.
- Collaboration: Partner with Studio engineers, product owners, and data scientists to gather requirements, define data contracts, and validate data quality.
- Environment Management: Manage development, QA/UAT, and production environments, implementing CI/CD pipelines with GitLab and Docker containers.
- Performance Tuning: Conduct query optimization, index strategy, and resource allocation to handle large‑scale datasets and high‑throughput workloads.
- Documentation & Governance: Produce clear technical documentation, data dictionaries, and maintain data lineage for compliance and auditability.
- Best‑Practice Advocacy: Champion data engineering standards, code review processes, and automated testing frameworks across the organization.
- Continuous Learning: Stay current with emerging data technologies (e.g., Databricks, Delta Lake, Airflow) and propose innovative solutions that enhance skillspath’s data ecosystem.
Essential Qualifications
- Minimum 2 years of hands‑on experience writing complex SQL queries and optimizing performance.
- At least 2 years of experience building, deploying, and maintaining ETL/ELT pipelines in a production environment.
- Proven expertise with cloud platforms, preferably AWS (S3, EC2, Lambda, Redshift) and Snowflake.
- Solid background in Python programming for data transformation and automation.
- Experience with containerization (Docker) and version control (GitLab/GitHub) for reproducible builds.
- Demonstrated ability to work with large data sets, data lakes, and data warehouses.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- Strong analytical mindset with excellent problem‑solving and communication skills.
Preferred Qualifications & Nice‑to‑Haves
- Advanced degree (Master’s or Ph.D.) in a quantitative discipline.
- 3+ years of experience in a dedicated data engineering role.
- Hands‑on experience with Apache Spark, Databricks, or similar distributed processing frameworks.
- Familiarity with Airflow, Prefect, or other workflow orchestration tools.
- Exposure to the media, streaming, or entertainment industry and its unique data challenges.
- Knowledge of data governance, security best practices, and regulatory compliance (e.g., GDPR, CCPA).
- Experience building data visualizations or dashboards using Looker, Tableau, or Power BI.
Core Skills & Competencies
- Technical Proficiency: SQL, Python, Docker, GitLab, Apache Spark, Snowflake, AWS services, and data modeling concepts.
- Architectural Thinking: Ability to design scalable, fault‑tolerant data pipelines that meet business SLAs.
- Collaboration: Comfortable working remotely with cross‑functional teams across time zones.
- Attention to Detail: Rigorous testing, validation, and documentation of data flows.
- Adaptability: Thrive in a fast‑moving environment where priorities shift based on production needs.
- Continuous Improvement: Passion for learning new tools, languages, and methodologies.
Career Growth & Learning Opportunities
skillspath invests heavily in employee development. As a Senior Data Engineer, you will have access to:
- Mentorship from senior architects and industry veterans.
- Sponsored certifications (AWS Certified Data Analytics, SnowPro Core, etc.).
- Internal hackathons focused on data innovation and storytelling.
- Opportunities to transition into Lead Architect, Data Platform Manager, or Product Owner roles.
- Cross‑departmental projects that expose you to AI/ML, real‑time analytics, and interactive media pipelines.
Work Environment & Culture at skillspath
Our remote‑first philosophy empowers you to work from anywhere while staying deeply connected to skillspath’s mission. We foster a culture of:
- Inclusivity: Diverse perspectives are celebrated, and every voice matters.
- Creativity: Engineers are encouraged to experiment and propose bold data solutions.
- Transparency: Open communication channels, regular all‑hands, and clear roadmaps.
- Work‑Life Balance: Flexible hours, generous PTO, and mental‑health resources.
- Recognition: Quarterly awards, peer‑nominated accolades, and performance‑based bonuses.
Compensation, Perks & Benefits
skillspath offers a competitive compensation package that reflects your expertise and the value you bring:
- Hourly rate of $28 with potential for performance‑based increases.
- Comprehensive health, dental, and vision insurance.
- 401(k) plan with company match.
- Remote work stipend for home office setup.
- Annual learning budget for courses, conferences, and certifications.
- Paid parental leave, wellness programs, and employee assistance services.
- Access to skillspath’s entertainment library and exclusive event invitations.
How to Apply
If you are ready to shape the future of data at a global entertainment powerhouse, we want to hear from you. Submit your resume, a concise cover letter highlighting your most relevant projects, and any portfolio links that demonstrate your data engineering prowess.
Take the Next Step with skillspath
Don’t miss this chance to join a visionary team that blends storytelling with cutting‑edge technology. Apply today and become a key driver of skillspath’s data‑centric transformation.
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