Data Engineer

Job Description

SPORTS NEXT
NBC Sports Next is where sports and technology intersect. We're fueled by our mission to innovate, create larger-than-life events and connect with sports fans through technology. We're a subdivision of NBC Sports and home to leading technology platforms and digital applications for Youth & Recreational Sports; Golf; and Emerging Media.
At NBC Sports Next, 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; SportsEngine Play, the first ever streaming service for youth and amateur sports, GolfNow, the leading online tee time marketplace and provider of golf course operations technology; and GolfPass the ultimate golf membership that connects golfers to exclusive content, tee time credits, instructional content and more.
FANDANGO
Over the past twenty years, Fandango has built a network of direct-to-consumer digital brands, where 50 million+ fans unite to celebrate their love for movies, TV and streaming. We take pride in serving fans throughout their entertainment journey from content discovery to theatrical moviegoing to watching at home. Our portfolio includes leading online movie ticketer, Fandango, which tickets for more than 31,000 US movie screens; world-renowned entertainment review site, Rotten Tomatoes; and Fandango at Home (previously known as Vudu), the on-demand streaming service offering the industry's best selection of 4K UHD titles and more than 250,000 new release and catalogue movies and next day TV shows.
Job Description
Fandango is looking for Data Engineer II. As a Data Engineer II, working on our data systems and services, you will work other data engineers to deliver projects and systems critical to Fandango's business. We expect our data engineers to be versatile, display leadership qualities and be enthusiastic about taking on new problems across our businesses as we continue to build great things for fellow movie fans.

Responsibilities:
• Contribute to and help team in design, build, testing, scaling, and maintaining data pipelines from a variety of source systems and streams (Internal, third party, cloud based, etc.), according to business and technical requirements.
• Continually work on improving the codebase and have active participation and oversight in all aspects of the team, including agile ceremonies.
• Collaborate with engineers and product managers to understand data needs.
• Participate in Agile ceremonies (standups, retros, sprint planning, etc.)
• Troubleshoot and fix production issues as they occur.
Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience.
• 5+ years of applied experience in Data Engineering, including but not limited to: building Data Pipelines, Orchestration, Data Modeling & Data Lake.
• Programming skills in one or more of the following: Python, Java, Scala, plus SQL and experience in writing reusable/efficient code to automate analysis and data processes.
• Experience in Data Warehousing (Relational and dimensional data modeling).
• Strong working experience with a variety of data sources such as APIs, real-time feeds, structured and semi-structured file formats.
• Experience with processing large datasets and building code using Glue, Apache Airflow / Amazon MWAA, SQL, Python, and pySpark.
• Experience of near Real Time & Batch Data Pipeline development.
• Experience with AWS data management (S3, Redshift, DynamoDB) and related tools (Athena, EMR, Glue, Lambda).
• Experience working in an agile/scrum environment.

Desired Characteristics:
• Familiar with software build, release, deployment and monitoring tools and practices.
• Experience with Talend, Informatica, or other off-the-shelf ETL tools.
• Experience working with Terraform.
• Strong Test-Driven Development background, with understanding of levels of testing required to continuously deliver value to production.
• Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm, and willingness to learn new methods, tools, practices, and skills.
• Ability to work effectively across functions, disciplines, and levels
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.
Salary Range: $120,000-140,000

Jobcode: Reference SBJ-neepn1-216-73-216-62-42 in your application.