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
• 3+ years building data warehouses using Snowflake
• Experience using Snowflake tools like Snowpipe and Snowpark
• 2+ years of experience using DBT to build data pipelines
• 3+ years of experience in developing BigData and/or machine learning solutions
• 3+ Years of experience defining and/or designing data architectures
• Experience with the MS Cloud stack (Azure) or AWS
• Experience with SQL, NoSQL, BigData, and Graph Technologies along with Programming languages like R, Python, Kafka, Storm, etc.
• Background in agile SW development and Scaled Agile Frameworks
• Someone who is a passionate coder and can spin up a snippet of code quickly
• Strategic thinker with the ability to build and execute innovative digital products, combined with a tactical ability to execute simultaneously against multiple contending priorities
• Someone with an iterative approach, the drive to move fast, and think big
• Experience working with and/or managing internal and external teams at the same time, working with multiple brands and digital properties of varying maturities
• Demonstrated ability to partner and communicate effectively with non-technical team members, resolving contending or contradictory objectives, and unifying disparate ideas into a homogenized solution
• Ability to be versatile and handle multiple projects and reprioritization
• Possess the ability to influence others, implement change, and standardize processes in a complex business environment
• A passion for data and growing in your current role
• Superb communication skills (both written and verbal)
• Great teammate – should be ready to go beyond to help the immediate team and not be averse to not shy away from asking for help if needed.
• Ability to translate ideas into solutions based on user and business needs
• Open Eagerness to learn new technologies and bring new ideas to the table

Education:

• Bachelor'see or equivalent. Masters would be a plus.

Salary Range: $120,000 - $142,500 

The NBA does not accept unsolicited resumes from search firms or any other third parties. Any unsolicited resume sent to the NBA will be considered NBA property, and the NBA will not pay a fee should it hire the subject of any unsolicited resume. 

The NBA considers applicants for all positions on the basis of merit, qualifications, and business needs, and without regard to race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, alienage or citizenship status, ancestry, marital status, genetic predisposition or carrier status, veteran status, familial status, status as a victim of domestic violence, or any other status or characteristic protected by applicable federal, state, or local law.