**Experienced Full Stack Data Engineer – Web & Cloud Application Development at blithequark**

Are you a tech-savvy individual with a passion for data engineering and a knack for problem-solving? Do you thrive in fast-paced environments where innovation and collaboration are key? If so, we invite you to join blithequark, a dynamic and forward-thinking organization that's revolutionizing the way we interact with data. As a Lead Data Engineer at blithequark, you'll play a critical role in shaping the future of our data-driven initiatives. Our Information and Investigation group, a part of the Disney Diversion and ESPN Innovation (DE&ET) division, is dedicated to harnessing the power of data to drive business growth, improve customer experiences, and inform strategic decision-making. **About blithequark** blithequark is a leading innovator in the entertainment and media industry, with a rich history of pushing boundaries and breaking new ground. Our commitment to innovation, creativity, and excellence has earned us a reputation as a trusted partner and industry leader. As a member of our team, you'll be part of a vibrant community that values collaboration, diversity, and continuous learning. **Job Summary** We're seeking an experienced Full Stack Data Engineer to join our team and help us develop cutting-edge data solutions that drive business success. As a Lead Data Engineer, you'll be responsible for designing, building, and maintaining scalable data infrastructure, data warehouses, and data pipelines that support our web-based features and applications. Your expertise will be instrumental in helping us extract insights from large datasets, inform business decisions, and drive growth. **Key Responsibilities** * Collaborate with cross-functional teams, including Information Item Chiefs, Information Modelers, and Information Architects, to design, implement, and deploy data solutions that meet business requirements * Develop and maintain scalable data infrastructure, data warehouses, and data pipelines using cloud-based technologies (AWS, Snowflake, Hadoop, etc.) * Design and implement ETL pipelines, data models, and data structures to support data integration and analytics * Ensure high-quality data and data management practices through detailed documentation and change management * Work closely with data scientists and analysts to develop data-driven solutions that inform business decisions * Participate in agile development methodologies, such as Scrum and Kanban, to ensure efficient and effective project delivery * Collaborate with stakeholders to identify business needs and develop data solutions that meet those needs **Essential Qualifications** * Bachelor's degree in Computer Science, Information Technology, or related field * 5+ years of experience in data engineering, data science, or a related field * Strong understanding of data modeling, data warehousing, and data integration concepts * Experience with cloud-based technologies, such as AWS, Snowflake, Hadoop, and Azure * Proficiency in programming languages, such as Python, Java, and Scala * Strong SQL skills and experience with data querying and data analysis * Experience with data visualization tools, such as Tableau, Power BI, or D3.js * Strong understanding of agile development methodologies, such as Scrum and Kanban **Preferred Qualifications** * Master's degree in Computer Science, Information Technology, or related field * Experience with big data technologies, such as Hadoop, Spark, and NoSQL databases * Experience with data governance, data quality, and data security best practices * Familiarity with cloud-based data platforms, such as Google Cloud Platform or Microsoft Azure * Experience with data engineering tools, such as Apache Beam, Apache Airflow, or AWS Glue * Strong understanding of machine learning concepts and experience with machine learning libraries, such as scikit-learn or TensorFlow **Skills and Competencies** * Strong problem-solving skills and ability to work independently * Excellent communication and collaboration skills * Ability to work in a fast-paced environment and prioritize tasks effectively * Strong analytical and critical thinking skills * Ability to learn new technologies and concepts quickly * Strong attention to detail and ability to ensure high-quality deliverables **Career Growth Opportunities and Learning Benefits** At blithequark, we believe in investing in our employees' growth and development. As a Lead Data Engineer, you'll have opportunities to: * Collaborate with experienced data engineers and scientists to develop your skills and expertise * Participate in training programs and workshops to stay up-to-date with the latest technologies and trends * Work on high-visibility projects that drive business growth and innovation * Contribute to the development of our data engineering team and help shape the future of our data-driven initiatives **Work Environment and Company Culture** blithequark is a dynamic and inclusive organization that values diversity, equity, and inclusion. Our team is passionate about innovation, creativity, and excellence, and we're committed to creating a work environment that's supportive, collaborative, and fun. As a Lead Data Engineer, you'll be part of a vibrant community that values: * Collaboration and teamwork * Continuous learning and professional development * Innovation and creativity * Diversity, equity, and inclusion * Work-life balance and flexibility **Compensation, Perks, and Benefits** We offer a competitive salary and benefits package, including: * Competitive salary and bonus structure * Comprehensive health insurance and wellness programs * Retirement savings plan and stock options * Flexible work arrangements and remote work options * Professional development opportunities and training programs * Access to cutting-edge technologies and tools * Collaborative and dynamic work environment **How to Apply** If you're a motivated and experienced data engineer looking for a new challenge, we invite you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples or projects to [insert contact information]. We can't wait to hear from you! Apply for this job