Data Engineer - Snowflake

WORK OPTION: Remote

 

The NBA is committed to providing a safe and healthy workplace.  To safeguard our employees and their families, our visitors, and the broader community from COVID-19, and in consideration of recommendations from health authorities and the NBA’s own advisors, any individual working onsite in our New York and New Jersey offices must be fully vaccinated against COVID-19. The NBA will discuss accommodations for individuals who cannot be vaccinated due to a medical reason or sincerely held religious belief, practice, or observance.

 

Position Summary

You will be part of a growing Data Engineering team that handles NBA data for Internal and External Users. The IT department services over 10 internal groups and the Data Engineer will be a seasoned Technologist comfortable with a variety of data technologies. Data Engineering Group handles a data warehouse that sources data out of over 15 sources and services over 10 internal groups. The current data technology stack is a cloud-based solution utilizing Microsoft’s Azure platform.  Data technologies deployed within the cloud platform include Azure Data Lake Storage (ADLS), Azure Databricks and Databricks Delta Lake, and Snowflake Data Warehousing.  Related data tools and capabilities include AI/ML models using Databricks, Python, and R, and data cataloging using Alation and FiveTran for some data ingestion.

 

We're looking for someone who is laser-focused on operational excellence and customer satisfaction. You'll need to wear many hats, so flexibility and a can-do attitude are critical! We are looking for a dynamic, collaborative personality that can champion the cause of Agile within the organization. The individual should be a recent graduate with intern experience in a fast-paced environment where they utilize their technical skills and can-do attitude to add value to an established team with minimal supervision. A passionate engineer who strives for automation would be ideal for this position.

 

As a Data Engineer, you will lead NBA’s data efforts across all products and lines of business. You are a pioneer, building new capabilities that will help unlock new possibilities for our businesses. You will coordinate with external and internal resources to be a part of a Data Engineering practice. You will play a fundamental role in achieving our ambitious growth objectives. You must be comfortable switching between multiple projects, contributing as an individual, and working with both business teams and technology teams to translate business requirements into a finished product. You possess strategic vision and tactical mastery and combine it with an entrepreneurial spirit to get it done. You will collaborate closely with stakeholders across the company to design innovative solutions and balance challenging priorities and resource demands.

 

The right candidate is someone who is passionate about data technologies. We’re looking for someone who welcomes challenges and is hyper-focused on delivering exceptional results to internal business customers while creating a rewarding team environment.

 

This position reports to the Data Engineering Team Lead, IT.

 

Major Responsibilities

• Understand business needs and develop solutions that delight consumers and customers
• Understands Agile artifacts and develops applications based on business priority. Collaborate with project partners to ensure all requirements are met. Handles relationships with end-user communities. Interacts regularly with users to gather feedback, listen to their issues and concerns, and recommend solutions.
• Build scalable, fault-tolerant batch and real-time data pipelines to power internal applications, operational workflows, and business intelligence platforms
• Create and maintain data-driven APIs to support a wide range of integration with NBA partners
• Recommend and implement best practices for data management and governance
• Demonstrate your technical abilities and contribute to our overall architecture
• Help implement the Enterprise Data Architecture for NBA and help implement it in multi-functional alignment with the Data teams that exist across functions like Marketing, Finance, HR, etc.
• Provide insights during application design and development for highly complex or critical machine learning projects across numerous lines of business and shared technology.
• Ensure alignment to enterprise architecture and usage of enterprise platforms when delivering projects
• Continuously improve the quality of deliverables and SDLC processes
   

Required Skills/Knowledge

• Master’s Degree in Computer Science, Engineering, or Management of Info Systems/Technology preferred
• Advanced Education in Statistics or Mathematics would be a plus