Experienced Full Stack Senior Data Engineer – Product Execution and Instrumentation at Blithequark

Join the Blithequark Team as a Senior Data Engineer and Revolutionize Data-Driven Decision Making

Blithequark, a leader in the entertainment and technology industry, is seeking a highly skilled Senior Data Engineer to join our Product Execution and Instrumentation team. As a key member of our Information Stages Group, you will play a crucial role in designing and building scalable data systems that drive business value and inform decision-making across our brands and digital experiences.

About Blithequark and the Industry

Blithequark is a pioneer in the entertainment and technology sector, with a diverse portfolio of brands and digital experiences that captivate audiences worldwide. Our Data and ESPN Technology (DEET) association is at the forefront of innovation, leveraging data-driven insights to enhance customer experiences and drive business growth. As a Senior Data Engineer at Blithequark, you will be part of a dynamic team that is passionate about harnessing the power of data to transform the entertainment industry.

Job Summary

We are looking for a seasoned Senior Data Engineer with a strong technical background and a passion for designing and building data systems at scale. As a key member of our Product Execution and Instrumentation team, you will contribute to the engineering, design, and development of our data products and pipelines using Scala, Python, and Flash. Your expertise will help us drive business value, improve data quality, and enhance customer experiences across our brands and digital experiences.

Key Responsibilities

• Design and develop scalable data solutions, building ETL pipelines in big data environments (cloud, on-prem, hybrid) using AWS, Databricks, Snowflake, Windstream, Flash, and languages such as Scala, Python, SQL, and Java.
• Contribute to the engineering, design, and development of our data products and pipelines in Scala and Python/Flash while maintaining uptime SLAs.
• Collaborate with Data Product Managers, Data Architects, and Data Engineers to design, implement, and deliver effective data solutions.
• Implement the Lakehouse architecture, working with key partners to move towards a Lakehouse-driven data platform.
• Maintain detailed documentation of your work and changes to support data quality and data governance.
• Ensure high operational efficiency and quality of your solutions to meet SLAs and support our clients (Data Science, Data Analytics teams).
• Be an active participant and advocate of agile/scrum practices to ensure safety and process improvements for your team.
• Troubleshoot and resolve complex technical issues, and optimize data pipelines for performance and scalability.
• Engage with and understand our clients, forming relationships that enable us to understand and prioritize both innovative new contributions and steady platform upgrades.

Requirements and Qualifications

Essential Qualifications:

• Bachelor's degree in Computer Science, Data Systems, or a related field, or equivalent work experience.
• Strong algorithmic problem-solving skills and solid SQL abilities.
• Proficiency in distributed systems, such as Flash and PySpark, to query and process data.
• Strong Scala and Python programming skills.
• Hands-on experience with cloud technologies like AWS (S3, EMR, EC2).
• Experience with at least one major MPP or cloud database technology (ideally Snowflake, Redshift, BigQuery).
• Familiarity with data integration toolsets (e.g., Windstream) and writing and maintaining data pipelines with Databricks.
• Experience in data modeling techniques and data warehousing standard approaches and practices.
• Knowledge of Scrum and Agile methodologies.
• Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams.

Preferred Qualifications:

• Experience with data engineering tools like Databricks, Snowflake, and Windstream.
• Familiarity with Lakehouse architecture and data platform design.
• Experience with data governance and data quality management.
• Knowledge of machine learning and data science concepts.

Career Growth Opportunities and Learning Benefits

At Blithequark, we are committed to the growth and development of our employees. As a Senior Data Engineer, you will have access to:

• Training and development programs to enhance your technical skills.
• Mentorship and coaching from experienced professionals.
• Opportunities to work on high-impact projects and contribute to the company's success.
• Collaborative and dynamic work environment that encourages innovation and creativity.

Work Environment and Company Culture

At Blithequark, we pride ourselves on a culture that values innovation, collaboration, and employee well-being. Our work environment is:

• Dynamic and fast-paced, with a focus on innovation and creativity.
• Collaborative, with cross-functional teams working together to achieve common goals.
• Supportive, with a strong emphasis on employee well-being and growth.
• Flexible, with opportunities for remote work and flexible schedules.

Compensation and Benefits

We offer a competitive compensation package that includes:

• Salary range: $35-$40 per year.
• Comprehensive benefits package, including health insurance, retirement savings, and paid time off.
• Opportunities for bonuses and stock options.
• Flexible work arrangements and remote work options.

Conclusion

If you are a motivated and experienced Senior Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity at Blithequark. Join our team and contribute to the development of innovative data solutions that drive business value and inform decision-making across our brands and digital experiences. Apply now and take the first step towards a rewarding career at Blithequark!