Senior Engineer, Data Products
New York City, United States
Applications have closed
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.
Job Description
At NBCUniversal, we believe in the talent of our people. It’s our passion and commitment to excellence that drives NBCU’s vast portfolio of brands to succeed. From broadcast and cable networks, news and sports platforms, to film, world-renowned theme parks and a diverse suite of digital properties, we take pride in all that we do and all that we represent. It’s what makes us uniquely NBCU. Here you can create the extraordinary. Join us.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $115,000 - $145,000.
ABOUT THE ROLE:
Data Engineer for the Data Products Engineering Team. Our team builds data pipelines to land, profile and store multiple internal & external datasets and build applications that surface this data to support our business partners’ strategic decision making. We are an AWS shop that uses open source technologies including Scala, Python, Pandas, Spark, Hive, Postgres, Redis, Flask, as well as BI tools such as Tableau and MicroStrategy. We work in a very agile environment, where product specifications are flexible and often change rapidly over time. We are seeking people who are comfortable with ambiguity, can drive towards clarity and define execution plans. While the key focus for this role is on backend engineering, engineers who have full stack expertise will be especially considered.
- Contributor to the overall Data Product roadmap by working closely with our business partners to understand their challenges and develop analytical tools to help drive business decisions
- Leverage prototyping methodologies to propose and design creative business solutions that exploit our broad toolset of technologies (Big Data, MicroStrategy, Tableau, Python, Spark etc)
- 4+ years experience with AWS technologies. Strong experience using Python and Pandas in an AWS Lambda framework is highly desired. Experience using EMR and/or DataBricks or the ability to read EMR code and translate it into Lambdas.
- Must understand the basics of relational data modeling and be able to clearly articulate the reasons to use non-relational systems in our architecture. Experience in SingleStore (formerly MemSQL) is desired but relevant experience in any of the following is acceptable: SnowFlake, MySQL, Redshift, Athena, MSSQL Server, Oracle. Experience in non-relational systems such as Redis, Cassandra, and MongDB is useful for supporting legacy applications.
- Decent understanding for the digital media ad sales business and ad serving technologies with experience working with ad serving transactional data logs or Nielsen demographic data.
- Educate and inform business partners on architecture, capabilities, best practices and solutions to build out future enhancements
- Assist in analyzing business requirements, source systems, understand underlying data sources, transformation requirements, data mapping, data model and metadata for reporting solutions
- Writing easily understood documentation and architecture diagrams and keeping them up to date as code and frameworks change over time.
Qualifications
- Bachelor’s degree in Engineering, Computer Science, Information Systems or related field with 5+ years of relevant experience.
- Strong Computer Science/Engineering/Information Systems background
- 5+ Years Experience in Data Modeling, Data architecture, Data Quality, Metadata, ETL and Data Warehouse methodologies and technologies.
- Experience in any combination of the following: SQL, Linux, MicroStrategy, Tableau, Python, APIs, Spark, Scala, Pandas
- Strong problem-solving skills.
- Strong oral and written communication and influencing skills, with the ability to communicate new concepts and drive change in processes and behaviors and to communicate complex technical topics to management and non-technical audiences.
Desired Characteristics
- 1+ years in Digital Media Publisher Industry with a solid understanding of Digital Research
- Experience with various digital platforms such as Omniture (Site Catalyst), Rentrak, comScore, Operative One, Google DoubleClick, Freewheel, Ad-Juster, MOAT, Nielsen, Facebook, Twitter, etc
- Understanding of how to manage code in the Enterprise Git repository with appropriate branching and documentation skills
- Ability to design concise and visually appealing reports, user interfaces, mockups and documentation
- Ability to read external API documentation and write pipelines to extract data from our partners’ systems
- Ability to write and stand up internal API endpoints to share data with other internal teams.
- Strong analytical focus, results-oriented and execution driven.
- Ability and desire to work within a cross-functional team environment with people from multiple business units, vendors, countries and cultures.
- Self-driven/self-initiator and resourceful to achieve goals independently as well as in teams and promotes an open flow of information so that all stakeholders are well informed.
- Flexibility to adjust to changing requirements, schedules and priorities.
- Ability to work independently under minimum supervision and proactive in solving issues
- Committed and solution-focused with the ability to perform under pressure and meeting targets
Other:
- Must submit an attestation disclosing your COVID-19 vaccination status and, if partially or fully vaccinated, submitting your vaccination record no later than 7 days following commencement of employment.
- Must be fully vaccinated against COVID-19 at the commencement of employment or adhere to enhanced protocols in select work settings or where jurisdictionally mandated.
- Must be willing to adhere to all Company COVID-19 workplace safety policies and protocols.
Additional Information
NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations in the US by calling 1-818-777-4107 and in the UK by calling +44 2036185726.
Tags: Agile APIs Architecture Athena AWS Big Data Cassandra Computer Science Databricks Data pipelines Data quality Data warehouse Engineering ETL Flask Git Lambda Linux MS SQL MySQL Open Source Oracle Pandas Pipelines PostgreSQL Prototyping Python Redshift Research Scala Snowflake Spark SQL Streaming Tableau
Perks/benefits: Flex hours Health care Insurance Medical leave
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