Software Engineer (L3)

Twilio

15h•$138,700 - $203,900•Remote

About The Position

We are looking for a talented and experienced Software Engineer to join our Data Platform team. In this role, you will play a crucial part in designing, building, and optimizing our platform to support a wide range of data-driven initiatives. You will work closely with cross-functional teams to understand business requirements, architect scalable solutions, and implement data solutions and infrastructure for our Data Platform. The ideal candidate will have a passion for leveraging data to drive business impact, strong technical skills, and experience with modern data technologies.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of experience in software development or a related field.
Strong proficiency in programming languages such as Python, Java, or Scala.
Strong experience with building frameworks for big data technologies such as Spark, Kafka, Hive, and distributed computing systems.
Experience with AWS technologies at scale
Solid understanding of software engineering principles, including object-oriented and functional programming paradigms, design patterns, and code quality practices.
Excellent problem-solving and analytical skills.
Strong verbal & written communication skills, with the ability to work effectively in a cross-functional team environment.

Nice To Haves

Bias to action, ability to iterate and ship rapidly
Passion to build data products, prior projects in this area

Responsibilities

Design, build, and maintain infrastructure and scalable frameworks to support data ingestion, processing, and analysis.
Collaborate with stakeholders, analysts, and product teams to understand business requirements and translate them into technical solutions.
Architect and implement data solutions using modern data technologies such as Kafka, Spark, Hive, Hudi, Presto, Airflow, and cloud-based services like AWS Lakeformation, Glue and Athena.
Design and implement frameworks and solutions for performance, reliability, and cost-efficiency.
Ensure data quality, integrity, and security throughout the data lifecycle.
Stay current with emerging technologies and best practices in big data technologies
Mentor early in career engineers and contribute to a culture of continuous learning and improvement