Experienced Full Stack Data Engineer – Remote Data Entry Opportunity at Blithequark with $27/Hour

Remote Full-time
Join the Innovative Team at Blithequark Blithequark is a pioneering organization that has been revolutionizing the entertainment industry for decades. Our Data Science and Analytics team, known as the Blithequark Choice Science + Mix (DDSI) association, plays a vital role in supporting clients across various sectors, including Parks, Resorts, Customer Products, and Media. We are now looking for a skilled Data Engineer to join our team and work on exciting projects from the comfort of your own home. About the Role The Data Engineering team at Blithequark is responsible for partnering with cross-functional teams to develop and sustain various projects, prototypes, and research initiatives. As a Data Engineer, you will be working on the development and sustainment of products for our Media business. Your primary responsibilities will include: Maintaining and improving data acquisition processes, data validation processes, ETL/ELT data pipelines, and overall process monitoring strategies Data requirements gathering, source-to-target mapping, data validation scripting and review, data visualization, and creating and monitoring ETL/ELT data pipelines Designing and executing database schema/tables/views and delivering datasets as input to science models and visualizations Key Responsibilities As a Data Engineer at Blithequark, you will be working on various tasks, including: Designing, developing, and maintaining large-scale data pipelines and architectures Collaborating with data scientists and analysts to understand data requirements and develop data products Ensuring data quality, integrity, and security across various systems and applications Troubleshooting data-related issues and optimizing data pipeline performance Staying up-to-date with emerging trends and technologies in data engineering and making recommendations for improvements Requirements and Qualifications To be successful in this role, you will need: Essential Qualifications: Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field 2+ years of experience in ELT/ETL data pipeline development and support Proven experience and skill using Python and SQL (ideally with Snowflake) Experience working in a multi-environment (Dev, QA, Prod, etc.) and DEVOP methodologies for code deployment/advancement Experience creating and maintaining automated work schedulers Strong understanding of relational database design and functionality Preferred Qualifications: Experience working with large datasets and big data technologies, ideally cloud-based, like Snowflake, Databricks, or similar Proficiency in cloud architecture and product offerings, ideally AWS Experience managing and delivering code using a source control tool like GitLab/GitHub Experience using Docker What We Offer At Blithequark, we offer a competitive salary of $27/hour, along with: Opportunities for career growth and professional development Collaborative and dynamic work environment Flexible work arrangements, including remote work options Access to cutting-edge technologies and tools Comprehensive benefits package Why Join Blithequark? Blithequark is a leader in the entertainment industry, known for its innovative approach to data science and analytics. By joining our team, you will have the opportunity to work on exciting projects, collaborate with talented professionals, and contribute to the company's continued success. Our company culture values: Innovation and creativity Collaboration and teamwork Diversity and inclusion Professional growth and development How to Apply If you are a motivated and talented Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity at Blithequark. Please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you! **We are an equal opportunities employer and welcome applications from all qualified candidates.** Apply for this job
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