Software Engineer, Data Platform

$160,000 - $194,000/Yr

Grammarly - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Publishing Industries

About the position

As a Software Engineer on the Data Platform team at Grammarly, you will play a crucial role in building and maintaining a world-class data platform that supports the organization’s data needs. This position involves designing and implementing scalable, secure, and efficient data systems that enable real-time and batch processing, data analytics, and machine learning workflows. You will work with cutting-edge technologies and collaborate with cross-functional teams to deliver data-driven solutions, contributing to the overall performance and reliability of the data platform.

Responsibilities

• Build and maintain key components of the data platform, including data pipelines and infrastructure for data storage, processing, and delivery.
• Learn and apply concepts in data engineering, such as distributed data processing, real-time data streams, and batch processing.
• Work with technologies like Spark, Kafka, SQL, and cloud platforms (AWS) to deliver scalable and reliable data systems.
• Collaborate with cross-functional teams, including data scientists, ML engineers, and back-end developers, to help build data-driven solutions and tools.
• Ensure that systems are scalable and performant, contributing to the overall reliability and efficiency of the data platform.

Requirements

• Has 2-5 years of software engineering experience, with an aptitude for data infrastructure or data engineering.
• Is a fast learner who is eager to develop their skills in building large-scale distributed systems and data platforms.
• Has experience with some of the following: Python, Java, Scala, SQL, or cloud technologies (AWS, GCP, Azure).
• (Preferably) understands basic data concepts such as data pipelines, ETL processes, and real-time/batch data processing.
• Is familiar with data technologies like Spark, Kafka, Kinesis, or similar tools, and is interested in expanding their knowledge in these areas.
• Has strong problem-solving skills and is passionate about learning how to build and scale data systems.
• Embodies EAGER values: ethical, adaptable, gritty, empathetic, and remarkable.

Nice-to-haves

• Experience with cloud technologies (AWS, GCP, Azure)
• Familiarity with data technologies like Spark, Kafka, Kinesis, or similar tools.

Benefits

• 401(k) matching
• Dental insurance
• Disability insurance
• Health insurance
• Life insurance
• Paid holidays
• Paid parental leave