Key skills
PythonSQLMachine LearningAnalyticsSnowflakeKafkaAirflowApache AirflowAWSKubernetesDockerPodmanLeadershipCommunication
About this role
Doximity is transforming the healthcare industry and is seeking a Software Engineer for their Data Platform team. This role involves providing standardized tools and frameworks to enhance data pipelining and analytics, working closely with data teams to improve the software environment and resolve technical challenges.
Responsibilities:
- You will work closely with data analysts, data engineers, and machine learning engineers, understanding their future needs and current challenges
- Your role will be pivotal in ensuring that the Doximity data stack evolves to meet these future requirements and alleviate existing obstacles
- Understand what our data product teams are trying to achieve
- Principally, to help you propose, architect, design, and implement solutions and best practices to maximize the time they can spend on their immediate goals, while minimizing the time they need to spend on unrelated or redundant technical hurdles
- You will play a key role in continuously enhancing our software engineering culture within the data organization
- Your leadership by example will be instrumental in this process
- Working with other teams, you will help isolate and understand development, performance, and stability issues
- Alongside the data infrastructure team, you will form the last line of defense in resolving problems facing members of our data teams
Requirements:
- Highly experienced Python engineer with a wealth of professional experience in internal tooling and automation
- Proven track record of supporting multiple product teams simultaneously
- Expert fluency in Python and, ideally SQL, coupled with an understanding of programming language internals
- Advanced knowledge of software engineering practices and testing methodologies
- Passionate about high-quality code, automated testing, and software engineering best practices
- Ability and drive to self-manage, prioritize tasks, and deliver functional solutions
- Clear and effective communication skills, both written and verbal
- Advanced knowledge in one or more of: container-based software development workflows (Kubernetes, Docker, Podman), Snowflake, AWS, Apache Airflow, & Kafka
- Experience with SQL, analytical databases, and data analytics