Senior Data Engineer
Senior Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Now more than ever the Toast team is committed to our customers. Were taking steps to help restaurants navigate these unprecedented times with technology resources and community. Our focus is on building the restaurant platform that helps restaurants adapt take control and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants by restaurant people restaurants can trust that well deliver on their needs for today while investing in experiences that will power their restaurant of the future.
Bready* to make a change
Toast is building a one stop shop for restaurants to make it easier faster and more enjoyable to manage a successful restaurant. Toast is scaling rapidly and with that growth comes an exciting new opportunity to join our new organization in Bangalore. Toast is looking for a Senior Software Engineer (Data Engineer) to embed directly within the Data Science team where youll play a crucial role in bridging the gap between data availability and model readiness. Your mission is to transform raw and warehouse data into consumable production-grade data pipelines and data artifacts that power machine learning and statistical models to scale Toast AI platform and build highly impactful Fintech AI products.
Youll partner closely with data scientists analysts and ML engineers to build performant and reliable pipelines that enable experimentation prototyping and production-scale deployment.
You will enable restaurants to access data-driven meaningful insights enable them to take impactful actions by leading the team to develop the best-in-class solution.
About this Roll*:
- Design build and maintain end-to-end data pipelines supporting machine learning workflows including raw data ingestion feature engineering model training datasets and inference-ready outputs.
- Partner closely with data scientists ML engineers product managers and software engineers to translate business needs into scalable data solutions.
- Build and enhance our data platform and enterprise data warehouse enabling consistent reliable access to data as the business scales.
- Develop and optimize ETL/ELT pipelines for key datasets such as restaurant orders payments and pricing ensuring high-quality timely data is available for modeling and analysis.
- Support the operationalization of ML pipelines contributing to the design and deployment of feature stores retraining loops and serving pipelines.
- Engage in data model design and optimization including new Hive table creation and tuning of existing schemas based on usage patterns and performance needs.
- Balance tactical data requests (e.g. building new data assets) with strategic initiatives such as improving platform reliability reusability and scalability.
- Contribute to the evolution of CI/CD pipelines and deployment practices to improve developer velocity and autonomy within the data science and analytics ecosystem.
Work Mode: This role follows a hybrid work model requiring a minimum of 2 days per week in the office.
Do you have the right ingredients*
- Bachelors degree or equivalent practical experience
- 5 years of experience as a Software or Data Engineer with a proven track record of delivering data-driven solutions at scale.
- Strong data modeling expertise with the ability to understand business use cases and design robust pipelines that support both current analytical needs and future scalability.
- Deep hands-on experience in distributed data processing and streaming frameworks particularly using Apache Flink (stateful computations) and Amazon Kinesis for real-time pipelines as well as batch processing with tools like Apache Spark.
- Proficiency in PySpark Scala and SQL for large-scale data transformations and processing.
- Familiarity with data serialization and compression formats including Avro and Protobuf schemas and integration tools such as Kafka and Snowflake connectors.
- Experience building and optimizing Feature Stores to support high-throughput online model inference and efficient offline model retraining workflows.
- Practical experience working with cloud-native infrastructure especially within the AWS ecosystem (e.g. SageMaker DynamoDB Athena Lake Formation).
- Strong programming skills in object-oriented languages such as Python Java Kotlin or Scala. (We believe great engineers can adapt to new languages.)
- Demonstrated ability to design and implement scalable production-grade data pipelines with attention to data quality monitoring and performance optimization.
- A solid understanding of distributed systems software engineering principles and event-driven architectures with experience building fault-tolerant secure and highly available applications.
- A collaborative mindset and experience working closely with product teams to design solutions that create value for both customers and the business.
- A strong sense of ownership empathy and respect for team collaboration and end-user experience.
- A passion for building well-engineered usable and accessible systems that stand the test of scale and change.
- Experience working in an Agile/Scrum environment and a willingness to adapt to evolving priorities.
Bonus ingredients*:
- Experience with workflow orchestration tools like Apache Airflow MLflow or infrastructure-as-code tools like Terraform.
- Familiarity with machine learning deployment workflows including versioning CI/CD for models and monitoring.
- Foundational knowledge of statistical methods (e.g. regression classification) and deep learning algorithms (e.g. CNNs RNNs).
- Understanding of enterprise integration patterns including message queues pub/sub systems and event-driven design.
Diversity Equity and Inclusion is Baked into our Recipe for Success
At Toast our employees are our secret ingredientwhen they thrive we restaurant industry is one of the most diverse and we embrace that diversity with authenticity inclusivity respect and humility. By embedding these principles into our culture and design we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally check out: today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process please contact .
------
For roles in the United States It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Required Experience:
Senior IC
Employment Type
Full Time
