Data Engineer

Data Engineer

Full-Time (Note if position is full-time or otherwise)

Austin, TX - 4 days per week in our Central Austin office, Fridays remote

Please note, we do not offer C2C or C2H employment and are unable to sponsor visas for this position. 

About Scorability:

Scorability is passionate about improving college athletics recruiting by making it more efficient, transparent, and honest. Coaches at every level in every sport can use our world-class software to efficiently identify, engage, and recruit the best players for their program. Prospective student athletes benefit from a more direct and transparent recruiting process, avoiding unnecessary effort and wasted money. 
 
This is an incredible opportunity to join an exciting, mission-driven company led by experienced founders and executives who have created multiple billion-dollar start-ups. 

Our Philosophies:

To assist your evaluation of Scorability as a place to work, we want to give you a glimpse into what makes a candidate a great potential fit.

Our employees:

• Embrace uncertainty while trusting in an established process guided by experienced leaders.
• Maintain a positive outlook even when challenged, always treating everyone with respect and kindness.
• Don’t complain, but rather offer solutions to problems they identify.
• Appreciate the value of in-office collaboration M-Th (Friday is flexible).
• Set aside ego and pride of authorship in favor of collaboration.
• Hope to learn, get better, and have fun while working hard.
• Place service to our customers and our shared goals above all else.
• Get excited about the inherent risks of a startup company in which you have equity.
• Understand that hard work and success will lead to great rewards!

The Role: 

We are seeking a highly skilled and versatile Data Engineer to join our growing team as a key contributor to our process and culture. As a Data Engineer, you will play a crucial role in designing, building, and maintaining our data infrastructure and pipelines, ensuring the availability and integrity of data for analysis, reporting, and presentation. You will collaborate with cross-functional teams to extract, transform, and load data from various sources, design efficient data models, and develop APIs to make data accessible across our applications. This is a great role for you if you are a tech-savvy problem solver with expertise in both front-end and back-end development, have a passion for data and a knack for optimizing data workflows, and you love the idea of building something from the ground up.

What you’ll do:

• Design, develop, and maintain data pipelines to collect, process, and store data from various sources.
• Collaborate with cross-functional teams to understand data requirements, and to help design, architect, and build our data schemas and our software.
• Create and optimize ETL (Extract, Transform, Load) processes to clean, transform, and enrich raw data from multiple sources.
• Partner with other engineers to design and implement RESTful APIs and services for data access within the organization's applications.
• Build and manage databases, ensuring data integrity, security, and scalability.
• Develop and maintain data models for efficient storage, retrieval, and analysis of information.
• Partner with other engineers to design and implement RESTful APIs and services for data access within the organization's applications.
• Work on data warehousing solutions to organize and centralize data for efficient querying.
• Monitor and troubleshoot data pipelines, addressing issues related to data quality, performance, and reliability.
• Support the development of reporting and analytics features by providing accessible and well-structured data.

Experience we’re seeking:

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Proven experience, 4+ years as a Data Engineer with a focus on data-related and AI projects.
• Proficiency in modern programming languages to help define and help build out the architecture & framework for our software. 
• Expert in Python/Go or similar a must. 
• Strong expertise in data processing, ETL, and data warehousing concepts and tools.
• Experience with databases, both SQL and NoSQL, including database design and optimization.
• Knowledge of data modeling techniques and best practices.
• Hands-on experience with modern data integration tools and frameworks. 
• Familiarity with either AWS or GCP platforms, and their data-related services.
• Proficiency in developing and maintaining RESTful APIs and services for data access.
• Ability to collaborate effectively with cross-functional teams, data scientists, and analysts to understand and meet data requirements.
• Strong problem-solving skills and the ability to troubleshoot and optimize data pipelines.
• Knowledge of data security and compliance standards and best practices.

Excellent communication skills and the ability to explain technical concepts to non-technical

Perks & Benefits:

• Stock options: become a shareholder and participate in the value we create together 
• Unlimited PTO + holidays off for a good quality of life
• Health benefits: Medical, Dental, and Vision — 100% paid for employees
• Giving back: opportunities to serve through our Community Service Program

Scorability will never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We invite all qualified applicants to apply for our open positions.