8 jobs found

Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you. Responsibilities : Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices Build and maintain dimensional data warehouses in support of business intelligence tools Develop data catalogs and data validations to ensure clarity and correctness of key business metrics Drive and maintain a culture of quality, innovation and experimentation Coach data engineers best practices and technical concepts of building large scale data platforms Basic Qualifications : 3-5 years of experience developing in object oriented Python Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases such as Redshift and Snowflake Building streaming data pipelines using Kafka, Spark, or Flink Preferred Qualifications: Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift Experience deploying data notebook and analytic environments such as Jupyter and Databricks Knowledge of the Python data ecosystem using pandas and numpy Experience building and deploying ML pipelines: training models, feature development, regression testing Experience with graph-based data workflows using Apache Airflow Required Education : Bachelor’s degree in Computer Science or related field or equivalent work experience

Movies Anywhere is the next generation of in-home entertainment, providing an unparalleled digital entertainment experience. Leveraging cutting edge technology, unique partnerships, and a talented team, Movies Anywhere is an exclusive, cross-platform, cloud-based movie service that enables consumers to seamlessly discover, grow, access, and enjoy their personal digital movie collection across a variety of studios, retailers, and platforms all in one convenient app and/or website. Movies Anywhere seeks a Staff Data Engineer to join a team of seasoned, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry. We are looking for a self-starting engineer who wants to shape the next generation of video consumption applications. We’re a casual shop that values passion, community involvement and code that stands out. If you are interested, we’d love to hear from you. The Data Engineer will work in a small team of multi-disciplined technologists developing insights to drive the Business, Marketing and Finance decisions for our next-generation video delivery and consumption platform. We expect you to be up to date on the happening in the data community, passionate about what you do, and connected to the open source community. You will participate in overall system design, developing multi-tiered data solutions emphasizing reuse and good design patterns. Responsibilities : Design, build and implement Hadoop/Spark batch jobs Build and optimize performance of Spark, Kafka, ELK, and whatever else makes sense for real-time pipelines Design and architect high quality data-lake, data-warehouse, and data-marts data models Enable and implement Data Science workflows and advanced machine learning algorithms Build and optimize performance of ElasticSearch cluster and relevance Build and maintain data pipelines orchestration Develop and cultivate expertise in current and new technologies and tools Collaborate with other software engineers and cross-functional teams Share new ideas with a larger community of highly experienced technologists Ability to prioritize tasks, requirements, and complexity Mentor junior data engineers on best practices Basic Qualifications : Real passion for coding (If you have a Github profile, that’s awesome! We would love to check it out!) Understanding of distributed systems and distributed computation Working knowledge in at least 2 of: Scala, Java, Python, or Go-Lang Working knowledge of data Apache Spark ecosystem technologies like Spark, Kafka, Hive, Presto, Oozie, Pig, Hue, Zeppelin Demonstrated working knowledge of data modeling, data-warehouse, data-mart and data-lake Unit, Integration, and Load testing Developing REST APIs Git Maven, SBT, and/or Gradle Unix/Linux Docker containers building and deployment Working experience of AWS Excellent communication and collaboration skills Preferred Qualifications: Knowledge of Machine Learning Frameworks (MLib,Tensorflow, etc) GraphQL Knowledge Kubernetes knowledge Apache Spark GraphX R GitLab CI/CD Akka Streams Required Education : BS in Computer Science or related field with 7+ years of experience  

The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world. As part of the Studio’s Technology team you’ll be joining a group of passionate, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry. Responsibilities : You will be instrumental in building scalable, extensible, maintainable data ingest, transformation, and reporting tools, infrastructure, and applications. We store, analyze, visualize and report on data for everything from the financial engines that keep the Studio running to consumer applications that touch millions of people. You will: Design, build and deliver high-quality data and software tools and solutions Collaborate with other software engineers and cross-functional teams Contribute new ideas to a larger community of high-caliber professionals Balance resources, requirements, and complexity Basic Qualifications : The Walt Disney Studios seeks a Data Engineer to join the Studio Technology Data Services team. This team is a highly visible department that plays an integral part in key business decisions across the Studio organization and the company. We’re seeking the following in a candidate: An educational background that has enabled your trajectory in technology. Surprise us! 2+ years of professional software experience Expertise in data analysis and database engineering Experience in agile software development process Smart, motivated, and curious about both the technology and the business Able to demonstrate working knowledge of some: Java/JVM, Python, SQL, R, Scala Apache Spark & associated tooling Data science notebooks (Databricks, Jupyter) Git, Github, Gitlab AWS, Terraform Docker, Kubernetes, Helm Job Schedulers (Azkaban/Airflow) Test-driven development Preferred Qualifications: It would be cool if you knew and could teach people about: R, Scala Kafka, KStreams, KSQL GraphQL RDS, DynamoDB  

We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics. We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences. Responsibilities : Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability. Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery. Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action. Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks. Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies. Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous. Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers. ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs. Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams. Basic Qualifications : Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis. Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services. Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases). Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud. Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning. Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly. Passion and creativity – Are passionate about data, technology, & creative innovation Preferred Qualifications: Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment. Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well. Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes. Experience in working with Data Scientists to operationalize machine learning models. Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share. Required Education : Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience Preferred Education : Masters in Computer Science or similar is preferred  

The Customer Relationship Management team is responsible for creating and cultivating direct-to-consumer relationships with The Walt Disney Company’s most strategic customer segment. It does so by managing the Disney Visa Cards business which is both an operating unit as well as a cross-business unit loyalty program. The department is made up of 35 professionals across multiple disciplines (Marketing, Finance, Business Operations) who work closely in a highly dynamic environment with cross-functional partners across Disney, our bank card issuer, and our payment network. Role Overview: This position sits within the Business Operations team and is responsible for providing operational support for technical initiatives that involve acquiring customers and delivering product benefits associated with the Disney Visa Cards. These initiatives often require extensive technical integration with other Disney business units and our bank issuer. The successful candidate will be able to: Get up to speed quickly with regard to operational and technical processes Solve problems with an appropriate level of urgency Develop strong relationships with technical, digital, compliance, and operations teams Manage work in a disciplined and organized manner Communicate clearly and effectively, both orally and in writing Responsibilities : Lead efforts to resolve operational and technical issues: Assess business impact and assign severity level Coordinate with internal and external partners to identify root cause Facilitate timely remediation Prepare post mortem reports Lead test coordination: Manage test support requests; Clarify test objectives, including specific high-level test cases Review detailed test scripts to ensure they cover all test cases Work with bank issuer to provide test data and accounts to support execution of test cases Facilitate test execution; Schedule meetings between Disney business units and bank issuer to conduct joint testing Monitor and share test results Work with partners to troubleshoot test region issues Manage software/system updates that directly support or impact Disney Visa Card initiatives. Develop calendar of scheduled sustainment tasks, e.g. SSL certificate renewals, data security-related assessments Work with internal and external partners to identify upgrade/enhancement activities to add to plan, e.g. AWS migrations, re-platforming projects Identify key stakeholders and work with them to define deliverables with timelines and key points of intersection Work with compliance partners and other key stakeholders to facilitate data security assessments Flag potential risks and escalate them to management. Develop and maintain process documentation. Work with partners to ensure technical process documents are updated appropriately, including design and technical specifications, architectural diagrams, process flows Document guest experience and data flows Create report layouts with field definitions Document troubleshooting and triage processes, including monitoring and escalation protocols Maintain lists of all systems/platforms/servers that support program. Develop requirements to support marketing / payment / technology initiatives. Provide input to functional and technical requirements that support business objectives Document use cases and supporting operational / information / control processes Provide input to test, launch, hypercare and sustainment plans, including definition of change management protocols Manage work in well organized and systematic manner. Identify and coordinate with key technology stakeholders needed to complete tasks Equip them with appropriate context and details regarding objectives Develop step-by-step approach to tackling work, with assigned dates and stakeholders Basic Qualifications : 2-3 years operational or systems support experience in an environment that has significant technical infrastructure, including: Working with cross-functional teams Process mapping and documentation Proactive problem solving skills Strong relationship building skills Excellent written and oral communication skills, including appropriate judgment regarding How to adjust to different audiences When and how to keep peers, partners and supervisor abreast of activities Able to multi-task in a busy business environment Well organized with strong attention to detail Ability and willingness to adapt to shifting priorities Highly accountable and self-motivated Passion for ensuring a positive and seamless Guest experience Constant drive for improvement Preferred Qualifications: Experience with: Payments/transaction processes, including familiarity with digital wallets Digital technology, including familiarity with native/hybrid app architecture and design principles Systems engineering concepts relating to establishing secure connections, firewalls, security certs, etc. Required Education : Bachelor’s degree, preferably in technical discipline  

The Direct-to-Consumer and International (DTCI) Data Platform group is a team focused on utilizing cutting edge technology to bring the power of data to DTCI and provide solid guidance in the decision-making process across the organization. We focus on using data that is collected from DTCI video streaming platforms to improve experiences for our guests through personalization and analytics-based decision-making. The Associate Data Scientist will be primarily focused on delivering value by developing algorithms that drive integral underlying functionality of our various video streaming services. In addition, throughout the algorithm development process, the role involves performing thorough data analyses and presenting these findings to stakeholders across the organization. Collaboration is key to success at Disney. The Associate Data Scientist is expected to work closely with various teams throughout any given project, so strong communication skills are a must. Responsibilities : The Associate Data Scientist will be primarily focused on delivering value by developing algorithms that drive integral underlying functionality of our various video streaming services. In addition, throughout the algorithm development process, the role involves performing thorough data analyses and presenting these findings to stakeholders across the organization. Collaboration is key to success at Disney. The Associate Data Scientist is expected to work closely with various teams throughout any given project, so strong communication skills are a must. Basic Qualifications : Master’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.) Bachelor’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.) with at least 3 years of professional work experience as a data scientist will be considered Deep knowledge of statistical principles and the underlying data assumptions on which they rely Hands-on experience building at least 2 of the following statistical models/techniques: recommendation systems, reinforcement learning, neural networks, deep learning, optimization and simulation, churn models, logistic/linear regression, forecasting, experimental design, clustering and segmentation Ability to program in Python, R, or other statistical programming language(s) Familiarity with databases and data retrieval, including SQL A passion for data, entertainment, and technology Preferred Qualifications: Previous experience in entertainment Knowledge of the video streaming industry Experience working with real-time streaming data Previous experience or internships in a data science role Hands-on experience with AWS or other similar cloud services Demonstrated delivery of machine learning techniques in real-time applications The ability to effectively communicate technical ideas to both technical and non-technical audiences  

Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Strategic Analytics team is seeking a Senior Analyst, Business Intelligence to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. In this role, the Senior Analyst, Business Intelligence must possess a strong knowledge of data structure and a passion for marketing data and analytics. This individual will leverage their BI platforming and systems knowledge to enable more data-centric analysis that provides business impact to the Consumer Products segment. This role will be responsible for managing, maintaining, and transforming large quantities of media, sales, product, and event data in order to enable the organization to maximize its marketing return on investment and effectiveness of consumer programs. The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA. Responsibilities : The Senior Analyst, Business Intelligence’s key responsibilities include, but are not limited to, the following: Identify new and robust sources of media data and plan technical solutions for onboarding Data acquisition – work with Technology partners to onboard new sources Data transformation – manage ETL process, QC data to be compatible with internal reporting platform and ensure data accuracy Use programming languages and relational databases for data acquisition, ETL, data cleansing & QA, and analysis Automate data acquisition and storage, provide ongoing database support Recommend data management solutions Document all data processes Set-up and conduct on-going data QA to ensure data used for reporting and analysis is accurate Create database views and BI interfaces that enhance UX for anyone analyzing data Dashboard development and data visualization Provide data support for regularly scheduled meetings, presentations, and ad hoc requests Find marketing opportunities and mitigate risks by mining data and conducting data analyses Report any key issues or learnings to senior leadership Become marketing data SME to develop an expertise and evangelize those data sets Basic Qualifications : 4+ years of experience in business intelligence and/or data engineering roles Bachelor’s degree in engineering, computer science, information systems, data science, applied mathematics, statistics, or other related fields. Expertise in relational databases, data processing, and big data environments (Teradata, Hadoop, Oracle, AWS, BigQuery) Expertise in programming languages (SQL, R, Python, Hive, SPSS, Excel) Comfortable learning and using new programming or markup languages and tools Proficient with business intelligence and data visualization tools (Tableau, Power BI, Looker, Microstrategy) Experience working with marketing, paid media, CRM, digital, and social media data (Google Ads, YouTube, Facebook, Adobe Analytics/Omniture) Proven analytical capabilities and data mining skills Strong attentiveness to detail Proven team player and strong partnering skills Demonstrated proactive problem-solving and decision making skills Demonstrated ability to deliver work on time Demonstrated verbal and written communication skills Ability to excel in a fast-paced, complex, and ambiguous business environment Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition Preferred Qualifications: 7+ years data & analytics experience Experience in consumer products, retail, publishing, or digital products strongly preferred Prior knowledge of internal Disney data and databases Prior experience with DMP and adtech/martech platforms Project management experience Required Education : Bachelor’s degree in engineering, computer science, data science, applied mathematics, statistics, or other related analytics fields Preferred Education : Advanced degree in an analytics field or MBA  

Who We Are: The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world. What You Will Be Creating: You will be working in a small, multidisciplinary team of systems, software, and data engineers. You will be designing, creating, and applying a state-of-the-art data ingest, storage, analytics and reporting system for a variety of customer groups within the Studios. This is an opportunity to shape the present and future of a major studio’s relationship with data. We are looking for talented software engineers with experience manipulating data sets at the multi-terabyte level, using the JVM/Apache/Spark/Kafka ecology of open-source distributed storage and computation tools. What’s Your Story? We are looking for self-starting, experienced engineers who wants to shape the way that a fortune 100 entertainment company engages with data and analytics. You have extensive experience shipping production code. You are insulted when someone asks you if you’ve written the unit tests yet, because you wrote them first. You can simulate, load-test, and performance analyze a complex distributed system. You are comfortable analyzing problems and implementing solutions on multi-terabyte data sets. Your systems fail elegantly. Responsibilities: Analyze business problems, architect, design and build high-quality software solutions Collaborate with customer representatives, product and project management teams Evangelize technologies, solutions, and best practices Contribute new ideas to a larger community of high-caliber professionals Balance resources, requirements, and complexity Basic Qualifications: Passion & proven experience in engineering high-quality software and systems that deliver business value Passion & proven experience in system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis Fluency with the fundamentals of algorithms and data structures Sound technical decision-making A range of JVM/CLR languages, as well as scripting/systems languages like Python Testing practices (unit, integration, performance and load testing) Revision control with git Distributed systems and API design Kafka, Spark, Hive and other distributed data analysis tools The AWS environment and toolset SQL and related data stores Confluent.io & Kafka Maven & Pants for dependencies and builds Jenkins for build & deployment Docker, OpenShift and Kubernetes for execution management Elastic Search, Kibana, or other aggregation and search tools Teradata, Informatica, and other data warehousing solutions Tableau, MicroStrategy, d3, and other data visualization tools Preferred Qualifications: Data science, statistics, machine learning and other applied mathematics Data lake and data warehouse implementation and support Kylo, Cloudera, or other data lake management systems Required Education: BS in computer science, mathematics, or engineering with 8-10+ years of software experience