Senior Full Stack Data Engineer – Cloud-Based Data Warehousing and Big Data Solutions Development for a Leading Streaming Service
Introduction to Hulu and the Role
Hulu, a pioneering American subscription video-on-demand service, is seeking a highly skilled and motivated Senior Full Stack Data Engineer to join its dynamic team. As a key member of the Content Engineering group, you will play a crucial role in designing, developing, and implementing cutting-edge data solutions to drive business growth, improve customer experience, and enhance content discovery. With a strong foundation in big data technologies and a passion for innovation, you will contribute to the development of scalable, efficient, and reliable data warehousing solutions that meet the evolving needs of the organization.
Job Summary
In this exciting role, you will have the opportunity to work with a talented team of data engineers, data architects, and data scientists to design and implement large-scale data warehousing solutions, build ETL pipelines, and develop data models that support business intelligence and data-driven decision-making. Your expertise in big data technologies, such as Hadoop, AWS, Snowflake, and Spark, will be essential in driving the development of best-in-class data solutions that enable the organization to gain valuable insights into customer behavior, content engagement, and market trends.
Key Responsibilities
Contribute to the design and development of data products and data warehouses focused on happy execution and content engagement data
Design and develop scalable data warehousing solutions, building ETL pipelines in big data environments (cloud, on-prem, hybrid)
Collaborate with data product managers, data architects, and data scientists to design, implement, and deliver successful data solutions
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 commitment to customers (data science, data analysis teams)
Be an active participant and advocate of agile/scrum practices to ensure safety and process improvements for your team
Essential Qualifications
Bachelor's degree in Computer Science, Information Systems, or a related field
Strong SQL skills and ability to write queries to extract data and build performant datasets
Hands-on experience with distributed systems like Spark, Hadoop (HDFS, Hive, Voila, PySpark) to query and manage data
Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, BigQuery)
Desirable experience with cloud technologies like AWS (S3, EMR, EC2)
Strong experience with data integration toolsets (e.g., Windstream) and writing and maintaining data pipelines
Experience with data modeling procedures and data warehousing standard techniques and practices
Good scripting skills, including Bash scripting and Python
Familiarity with Scrum and Agile methodologies
Preferred Qualifications
Master's degree in Computer Science, Information Systems, or a related field
Experience with data engineering, data warehousing, and big data technologies
Knowledge of data governance, data quality, and data security best practices
Experience with cloud-based data warehousing solutions, such as Amazon Redshift or Google BigQuery
Strong understanding of software development life cycles, including design, development, testing, and deployment
Career Growth Opportunities and Learning Benefits
At Hulu, we are committed to providing our employees with opportunities for growth, development, and learning. As a Senior Full Stack Data Engineer, you will have access to a wide range of training programs, mentorship opportunities, and career development resources to help you advance your skills and expertise. You will also have the chance to work with a talented team of professionals who are passionate about innovation, collaboration, and excellence.
Work Environment and Company Culture
Hulu is a dynamic and innovative company that values creativity, diversity, and inclusion. Our work environment is collaborative, fast-paced, and exciting, with a focus on delivering high-quality products and services that exceed customer expectations. We offer a range of benefits, including flexible work hours, remote work options, and a comprehensive wellness program, to support the well-being and success of our employees.
Compensation, Perks, and Benefits
We offer a competitive salary and benefits package, including health, dental, and vision insurance, 401(k) matching, and a range of other perks and benefits. Our employees also enjoy access to a range of discounts, including free subscriptions to our services, and invitations to exclusive events and experiences.
Conclusion
If you are a motivated and talented data engineer with a passion for big data technologies and a desire to work with a dynamic and innovative company, we encourage you to apply for this exciting opportunity. As a Senior Full Stack Data Engineer at Hulu, you will have the chance to work on challenging and rewarding projects, collaborate with a talented team of professionals, and contribute to the development of cutting-edge data solutions that drive business growth and customer engagement. Apply now to join our team and take your career to the next level!
Apply Now
Hulu, a pioneering American subscription video-on-demand service, is seeking a highly skilled and motivated Senior Full Stack Data Engineer to join its dynamic team. As a key member of the Content Engineering group, you will play a crucial role in designing, developing, and implementing cutting-edge data solutions to drive business growth, improve customer experience, and enhance content discovery. With a strong foundation in big data technologies and a passion for innovation, you will contribute to the development of scalable, efficient, and reliable data warehousing solutions that meet the evolving needs of the organization.
Job Summary
In this exciting role, you will have the opportunity to work with a talented team of data engineers, data architects, and data scientists to design and implement large-scale data warehousing solutions, build ETL pipelines, and develop data models that support business intelligence and data-driven decision-making. Your expertise in big data technologies, such as Hadoop, AWS, Snowflake, and Spark, will be essential in driving the development of best-in-class data solutions that enable the organization to gain valuable insights into customer behavior, content engagement, and market trends.
Key Responsibilities
Contribute to the design and development of data products and data warehouses focused on happy execution and content engagement data
Design and develop scalable data warehousing solutions, building ETL pipelines in big data environments (cloud, on-prem, hybrid)
Collaborate with data product managers, data architects, and data scientists to design, implement, and deliver successful data solutions
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 commitment to customers (data science, data analysis teams)
Be an active participant and advocate of agile/scrum practices to ensure safety and process improvements for your team
Essential Qualifications
Bachelor's degree in Computer Science, Information Systems, or a related field
Strong SQL skills and ability to write queries to extract data and build performant datasets
Hands-on experience with distributed systems like Spark, Hadoop (HDFS, Hive, Voila, PySpark) to query and manage data
Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, BigQuery)
Desirable experience with cloud technologies like AWS (S3, EMR, EC2)
Strong experience with data integration toolsets (e.g., Windstream) and writing and maintaining data pipelines
Experience with data modeling procedures and data warehousing standard techniques and practices
Good scripting skills, including Bash scripting and Python
Familiarity with Scrum and Agile methodologies
Preferred Qualifications
Master's degree in Computer Science, Information Systems, or a related field
Experience with data engineering, data warehousing, and big data technologies
Knowledge of data governance, data quality, and data security best practices
Experience with cloud-based data warehousing solutions, such as Amazon Redshift or Google BigQuery
Strong understanding of software development life cycles, including design, development, testing, and deployment
Career Growth Opportunities and Learning Benefits
At Hulu, we are committed to providing our employees with opportunities for growth, development, and learning. As a Senior Full Stack Data Engineer, you will have access to a wide range of training programs, mentorship opportunities, and career development resources to help you advance your skills and expertise. You will also have the chance to work with a talented team of professionals who are passionate about innovation, collaboration, and excellence.
Work Environment and Company Culture
Hulu is a dynamic and innovative company that values creativity, diversity, and inclusion. Our work environment is collaborative, fast-paced, and exciting, with a focus on delivering high-quality products and services that exceed customer expectations. We offer a range of benefits, including flexible work hours, remote work options, and a comprehensive wellness program, to support the well-being and success of our employees.
Compensation, Perks, and Benefits
We offer a competitive salary and benefits package, including health, dental, and vision insurance, 401(k) matching, and a range of other perks and benefits. Our employees also enjoy access to a range of discounts, including free subscriptions to our services, and invitations to exclusive events and experiences.
Conclusion
If you are a motivated and talented data engineer with a passion for big data technologies and a desire to work with a dynamic and innovative company, we encourage you to apply for this exciting opportunity. As a Senior Full Stack Data Engineer at Hulu, you will have the chance to work on challenging and rewarding projects, collaborate with a talented team of professionals, and contribute to the development of cutting-edge data solutions that drive business growth and customer engagement. Apply now to join our team and take your career to the next level!
Apply Now