Title: Sr. Applied Data Engineer –NBC Sports Next
Location: FL-Orlando
Company Description
NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service. Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Click here to learn more about Comcast NBCUniversal’s commitment and how we are making an impact.
NBC Sports Next is where sports and technology intersect. We’re a subdivision of NBC Sports and home to all NBCUniversal digital applications in sports and technology within our two groups: Youth &Recreational Sports and Golf.
At NBC Sports Next, we make playing sports better through innovative technology and immersive experiences for athletes, coaches, players and fans. We equip more than 30MM players, coaches, athletes, sports administrators and fans in 40 countries with more than 25 sports solution products, including SportsEngine, the largest youth sports club, league and team management platform;GolfNow, the leading online tee time marketplace and provider of golf course operations technology;GolfPass the ultimate golf membership that connects golfers to exclusive content, tee time credits, and coaching, tips;TeamUnify, swim team management services;SportsEngine Motion, sports and fitness business software solutions.
Come join us as we work together as one team to innovate and deliver what’s Next.
Golf fuses the team behind products and services like GolfNow, TeeOff and GolfPass, which better connects golfers and golf facilities around the world through innovative solutions like cloud-based golf course management and SmartPlay contactless technology and services that create optimum golfing experiences.
Job Description
JOB SUMMARY: Applied Data Engineer role is responsible for all aspects of NBC Sports Next data platform, data integration, and data analytics. The role will be hands-on and will be responsible for helping business drive data-driven decisions and solving business opportunities through data. This role will be leading improvements of existing data solutions and development of new solutions by scoping, implementing, and testing in order to address business requirements.
KEY RESPONSIBILITIES:
- Act as a company-wide consultant leveraging knowledge of existing data structures and business knowledge to solve problems
- Own the vision for analytical systems (or subsystems), be accountable for integrating these systems into existing business process and software, and design and maintain the consolidated product roadmap for future ongoing evolution of these systems
- Be an expert in the data, including source systems, design data integration solutions, data validation, and data testing processes
- Be an expert in our applications, understand how our systems and applications receive data, how it is stored and used, and the underlying processes that leverage it
- Be a problem solver, when presented with new challenges, you are expected to research and network to find solutions
- Be a hands-on data expert who can design, build and manage our data pipelines
- Be a hands-on with developing and implementing robust and fault tolerant system for data ingestions and processing.
- Seek out answers to business problems, and look for opportunities to automate processes
- Collaborate with partners, App Engineering, Decision Science, Finance, Revenue Management, Marketing, and Sales throughout the development process to ensure solutions are built cohesively and meet requirements
- Proactivity communicates with technical and non-technical stakeholders, seek to learn, and understand, and potentially challenge existing processes in order to continuously seek improvement efficiencies
- Hands-on with database design, and architecture methodologies and development life cycle
- Hands-on experience with distributed processing technologies and frameworks, such as Hadoop, Flink, and distributed storage system (HDFS, S3)
- Hands-on experience with ensuring security, integrity, and compliance of data according to industry and company standards
Qualifications
All candidates must meet the qualifications below:
- 3+ years of complex experience in software or data engineering
- 2+ years of experience with OpenAI, AzureOpenAI in a production capacity
- 3+ years of experience with Python/ PySpark/AWSGlue/AWSCrawler/ AWSAthena
- 3+ years of experience with gathering data (batch data ingestion, real-time data ingestion, data streams)
- 3+ years of experience with data-prep (data cleaning, data normalization, reduction, data aggregation)
- 3+ years of experience with cloud computing and processing of parallel date sources
- 3+ years of experience with data storage (structured data, semi-structured data, unstructured data
- 3+ years of experience with MSSQL/Postgres/MYSQL
- 3+ years of experience with cloud-based technologies preferable AWS EC2, S3, Redshift, RDS, Glue, Lambda, Snowflake
- 3+ years of experience with designing, building relational databases (preferably MSSQL/Redshift/Snowflake)
- 3 + years of experience with GitHub and Git flow
- 3 + years of experience with Continuous Integration and Continuous Delivery (CI/CD)
- 3+ years of experience with data pipeline platforms like Apache Airflow, Glue, TalendD, Informatica
- Strong understanding of analytical data tiers like MSSQL, MYSQL, Athena, Redshift, Snowflake
- Strong understanding of transactional data tiers like MSSQL, MYSQL, Postgres, MongoDB
- Proficient in a variety of data science methods, scalable infrastructure setup, software development, and system architecture
- Proven ability to leverage best practices around data engineering development process
- Self-motivated with a move-fast mindset able to work independently in high-paced environment while adhering to strict deadlines with constant supervision
- Data visualization experience with platforms like (Juniper Notebooks, Tableau, Domo, Quicksight, Looker)
- Proactive communication skills with experience guiding results across cross-matrixed teams
- Experience in establishing, implementing, and socializing analytics best practices with both technical and non-technical stakeholders
- Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources
- Excellent written, verbal and listing communication skills
- Experience working in an agile environment
- Must have the ability to travel for training, conferences or supported business locations
- Must have strong organizational and time management skills
- Extensive knowledge and experience of modern data architecture and modern technologies such as data appliances, distributed computing and Hadoop, data streaming, analytics, machine learning, and artificial intelligence
REQUIRED EDUCATION:
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance, Economics, Data Mining, Analytics, Statistics, or other quantitative field;Master’s Degree preferred
PREFERRED QUALIFICATIONS:
- Knowledge of the fields of revenue management, finance, and ecommerce business
- Strong understanding of advanced analytical methods
- Experience developing short and long-term product roadmaps for implementation and sustainment
- Technical expertise applied to rapidly changing, highly agile requirements
- Proficiency in automation and improving existing processes
- Knowledge of high transactional ecommerce B2C and B2B businesses
- Experience with Data Management Platforms
Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance, Economics, Data Mining, Analytics, Statistics, or other quantitative field;Master’s Degree preferred