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Data Engineer, Information & Data Solutions

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work.

Overview:

As a Data Engineer, you are passionate about building reliable data pipelines and integrations that transform raw data into valuable business insights. With approximately 2 years of experience, you will help design, implement, and maintain data workflows within the Information & Data Solutions team. Your technical skills will support data initiatives such as analyzing customer patterns on the Dolby Customer platform, harvesting analytics usage data, integrating third-party APIs for market research, building BI dashboards, and transforming data to make it useful for business and technical teams across the company. The ideal candidate has strong fundamentals in data engineering, demonstrates growth potential, and can effectively collaborate with cross-functional teams. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

Job Description:

• Manages and optimizes databases used by applications and for warehousing, including schema design, query optimization, and performance tuning
• Builds and maintains ETL pipelines and datalakes using Databricks, focusing on data extraction, transformation, and loading processes
• Develops and maintains data workflows in Databricks using Spark, Delta Lake, and Python
• Leverages REST APIs to implement and optimize data integrations
• Creates and optimizes SQL queries to process and analyze structured and semi-structured data
• Works with AWS services such as S3, Lambda, Glue, and Redshift to build scalable data solutions
• Builds dashboards and collaborates with data analysts to ensure that they meet reporting requirements
• Assists in building data models that support business intelligence and reporting needs
• Participates in code reviews and follows team development standards
• Documents data pipelines, processes, and technical specifications
• Troubleshoots and resolves data pipeline issues with guidance from senior team members

Preferred Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or related technical field
• At least 2 years of experience in data engineering or similar role
• Proficiency with Python, SQL, and Spark for data manipulation and analysis
• 1 year experience with Databricks
• 1 year experience administering MySQL or Postgres databases
• Hands-on experience with APIs and data extraction patterns
• Understanding of ETL processes and data pipeline development
• Familiarity with version control systems (Git) and CI/CD practices
• Strong problem-solving skills and attention to detail

Nice to have:

• Exposure to AWS data services (S3, Glue, Lambda, Redshift, etc.)
• Exposure to Salesforce or other CRM tools
• Exposure to PowerBI, Tableau, and other dashboard and data visualization tools
• Exposure to Google Analytics, Hotjar, and other website analytics tools
• Understanding of data modeling concepts and best practices

Teamwork & Communications:

• Collaborates effectively with data scientists, analysts, and other engineers
• Communicates technical concepts clearly to non-technical stakeholders
• Participates actively in team meetings and planning sessions
• Seeks guidance appropriately while demonstrating initiative on assigned tasks
• Documents work thoroughly for knowledge sharing and future reference
• Demonstrates willingness to learn and adapt to new technologies and methodologies
• Contributes to a positive team culture and supports knowledge sharing

Dolby Hiring Entity:

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