Senior Python Software Engineer (Data Engineering)

Job Description

Born from the belief that great things come to those who cook, Yummly provides limitless inspiration, with the tools to make it happen—from recipe discovery to prep to perfect results. Just as appliances removed the most cumbersome chores, the next tipping point in daily life is upon us in the food space. A system of personalized discovery that learns you better to serve you better, so the question “what’s for dinner?” is answered before it’s even asked.

Yummly has grown to over 25M registered users and our mobile apps are consistently one of the leading recipe apps on iPhone, iPad, Android, and Windows. Next on the menu? Building the connected digital kitchen of the future globally.

We are looking for an experienced Senior Python Software Engineer to join our dynamic data team. The ideal candidate will have a passion for data excellence, implementing clean efficient services, and paying attention to detail. In this role, you will be responsible for designing and implementing high-performance data systems and microservices using Python with FastAPI, Postgres, BigQuery, and ElasticSearch. You’ll be containerizing these services and deploying to Kubernetes and/or AWS ECS with your basic cloud engineering/DevOps skills on GCP and AWS (strong preference for GCP, if you only know one - you can learn what you need from AWS here). You should be able to apply your experience with microservices to build and deploy new services, but also to help mentor more junior engineers as they learn how to do this too using your excellent communication and interpersonal skills.

What’s on the menu (Key Responsibilities):

• Design and develop data pipelines and data processing systems using Python, FastAPI, Postgresql, BigQuery, ElasticSearch, and Neo4j.
• Design and develop microservices that can be deployed independently and work together to support data processing systems.
• Create Kubernetes and/or AWS Elastic Container Service deployments for the services and jobs you’ll create.
• Optimize data processing performance and scalability.
• Ensure data integrity and data excellence throughout the data pipeline.
• Work closely with data scientists and analysts to understand their requirements and ensure the data systems meet their needs.
• Collaborate with cross-functional teams to drive data-related initiatives forward and ensure our data systems meet their needs.
• Help ensure and enforce code standards and code quality across data services.
• Mentor junior engineers and others regarding Python and microservice best practices.

Key Ingredients (minimum skills, requirements, education):

• Bachelor's degree in Computer Science or related field.
• 5+ years of experience in Python software engineering.
• 2+ years of experience in FastAPI development.
• 2+ years of experience in Postgresql, BigQuery, and ElasticSearch.
• 2+ years of experience with Kubernetes and/or AWS Elastic Container Service.
• 2+ years of experience with GCP and AWS (we’d prefer GCP first)
• Strong SQL skills with experience using Dataform as plus.
• Strong understanding of event-driven microservice architecture and experience in designing microservices.
• Excellent attention to detail and critical thinking skills.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and interpersonal skills.

Extra Seasoning (Great to haves):

• Masters degree in Computer Science or related field.
• Experience with event tracking systems such as Snowplow.
• Experience with MLOps and products like Vertex AI.
• Experience in natural language processing and linguistics.
• Experience or at least an interest in machine learning and data science.
• Java, Scala, and ability to understand Clojure.
• A passion for food and cooking!

SF Bay Area Pay Range$150,000—$175,000 USDCO Pay Range$130,000—$160,000 USDNYC Pay Range$150,000—$170,000 USDCA Pay Range$135,000—$160,000 USDWA Pay Range$130,000—$160,000 USD

Dessert:

• Our culture fosters transparency and collaboration where everyone’s contribution is valued!
• This position is Hybrid (on-site when needed)
• Food!
• Robust benefits
• Amazing discounts on all Whirlpool products

And a Little More About Us

At Yummly, we are a team of talented and diverse engineers, scientists, product experts, and marketers on a mission to rule the kitchen. We've seen great success using machine learning and artificial intelligence to make cooking fun, easy, and personalized. Our iOS and Android apps have 4.5+ star reviews, millions of downloads, and many awards (download and give it a try!).

In 2017, we were acquired by Whirlpool, the world’s largest home appliance maker. Together, we are building the fully connected kitchen of the future.

We have a “work from where you're most productive” policy. For those local to the area, we have a new office in San Carlos, CA, with excellent amenities.

Please talk to us if you have a love for shipping products, hard problems, and food!

Yummly is committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, citizenship, marital status, disability or Veteran status.