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About Us
Udacity is on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey.
Data Driven is a Udacity core value. Udacity Data Engineering Team is looking for a Software Engineer to help us to design and develop Udacity’s company-wide data solutions in support of that value. The ideal candidate will be comfortable talking to data analysts, data scientists and business stakeholders, understand the data that powers their products, generalize it and implement common fact tables across the company.
This is a high-impact opportunity and you’ll be a part of a global Data Team of highly talented Software Engineers, Data Analysts and Data Scientists based primarily in India and the SF Bay Area. The system you will be working on consists of a cloud-based data lake and is built completely on a cloud-native environment on AWS, using technologies such as Apache Spark, Scala, Airflow, Postgres and Redshift.
About Udacity Data Engineering:
● We prioritize the quality and trustworthiness of the data
● We embrace common and proven software engineering practices to achieve quality while maximizing the productivity
● We promote collective and shared ownership of our technical assets
● We value the flexibility needed in working in a global while balance and minimize non-work hour involvement in all locations
How You Can Help:
● Design and develop infrastructure and tools for the systems powering all of Udacity’s data, analytics and reporting
● Work with analysts to generalize the data points behind their work to form multi-dimensional data stores
● Building out the lakehouse for analytics, machine learning and AI use cases with strong focus on accuracy and reliability using technologies such as Spark, Airflow, dbt and Iceberg on AWS
● Working with stakeholders from other departments and successfully translating their requirements to engineering solutions
● Being a champion and thought leader of effective agile software development practice and producing high quality readable code in such a setting
What We Need From You:
● BS or MS in Computer Science , MIS or related degrees
● 5+ years of experience working in the software industry, with at least 3 of which in data engineering
● Solid understanding and experience practicing Agile software development methodologies such as test driven development
● Good understanding in the principles of building robust data processing pipeline and track record of putting them in practice
● Proven ability to trace, identify and resolve issue in data, infrastructure and code
● Hands-on experience working with Apache Spark, cloud data storage and relational databases
● Proficiency in Python, Scala and SQL
● Experience working with large language model is desired
● Experience working with US or Europe based remote teams is a strong plus
Benefits:
Experience a rewarding work environment with Udacity's perks and benefits!
- At Udacity, we offer you the flexibility of working from home. We also have in-person collaboration spaces in Mountain View, Cairo, Dubai and Noida and continue to build opportunities for team members to connect in person
- Flexible working hours
- Paid time off
- Comprehensive medical insurance coverage for you and your dependents
- Employee wellness resources and initiatives (access to wellness platforms like Headspace)
- Quarterly wellness day off
- Personalized career development
- Unlimited access to Udacity Nanodegrees
What We Do
Forging futures in tech is our vision. Udacity is where lifelong learners come to learn the skills they need, to land the jobs they want, and to build the lives they deserve.
Don’t stop there! Please keep reading...
You’ve probably heard the following statistic: Most male applicants only meet 60% of the qualifications, while women and other marginalized candidates only apply if they meet 100% of the qualifications. If you think you have what it takes but don’t meet every single point in the job description, please apply!
We believe that historically, many processes disproportionately hurt the most marginalized communities in society- including people of color, working-class backgrounds, women and LGBTQ people. Centering these communities at our core is pivotal for any successful organization and a value we uphold steadfastly. Therefore, Udacity strongly encourages applications from all communities and backgrounds.
Udacity is proud to be an Equal Employment Opportunity employer. Please read our blog post for “6 Reasons Why Diversity, Equity, and Inclusion in the Workplace Exists”
Last, but certainly not least…
Udacity is committed to creating economic empowerment and a more diverse and equitable world. We believe that the unique contributions of all Udacians is the driver of our success. To ensure that our products and culture continue to incorporate everyone’s perspectives and experience we never discriminate on the basis of race, color, religion, sex, gender, gender identity or expression, sexual orientation, marital status, national origin, ancestry, disability, medical condition (including genetic information), age, veteran status or military status, or any other basis protected by federal, state or local laws.
As part of our ongoing work to build more diverse teams at Udacity, when applying, you will be asked to complete a voluntary self-identification survey. This survey is anonymous, we are unable to connect your application with your survey responses. Please complete this voluntary survey as we utilize the data for diversity measures in terms of gender and ethnic background in both our candidates and our Udacians. We consider this data seriously and appreciate your willingness to complete this step in the process, if you choose to do so.
