Software Development Engineer 3 (ISIJP)

About the role:
Were looking for a Senior Software Engineer who is passionate about building a modern scalable Data as a Service (DaaS) platform that empowers Intuitives Digital products and supports over 2000 engineers across the this role you will own and evolve critical components of our real-time and micro-batch data pipelines that power product development internal tools and key metrics and insights for engineering manufacturing marketing enterprise analytics and business teamsanalytics.
Your work will focus on enabling high-throughput low-latency data delivery through streaming pipelines dynamic transformations and APIs-based access to data driving discoverability accessibility and actionable insights. You will help define the architecture and engineering practices that support self-service analytics and operational decision-making on scale.
As a catalyst for change you will be at the forefront of reimagining how engineering teams consume and interact with data. Long-term success in this role means building robust efficient systems and replacing legacy processes with modern solutions that allow teams to move faster with greater confidence and autonomy.

Responsibilities:
Design and build scalable distributed Data as a Service that ingest process and serve data from robotics manufacturing engineering and clinical sources in real time and batch modes
Develop and maintain robust APIs data services and tooling to provide internal teams with secure efficient and intuitive access to high-quality data
Partner with engineering analytics and business stakeholders to evolve data contracts and models that support emerging use cases and ensure semantic consistency
Implement CI/CD practices for data services including automated testing for data quality service reliability and schema evolution
Championing a self-service data culture by building discoverable well-documented data products and guiding teams toward empowered autonomous data access
Act as a technical leader within the data domain driving best practices mentoring teammates and continuously improving how data is produced shared and consumed across the organization

Key Skills & Experience:
Solid quantitative background in Computer Science Engineering Physics Math or 8 10 years of hands-on experience in a technically demanding role
Proficient in at least two major programming languages such as Python Go Scala C or Java with a strong understanding of software design and architecture
Deep knowledge of SQL and understanding of relational database internals and performance
Proven experience building data pipelines and working with distributed systems using technologies like Apache Spark Kafka Elasticsearch Snowflake and Airflow
Strong collaborator who actively contributes to code reviews system design discussions sprint planning and KPI evaluations to drive team excellence and technical quality
Minimum a bachelors or masters degree in computer science information technology or a related field.

Bonus Points:
Experience working on Data Platform or Infrastructure Engineering teams
Hands-on experience with AWS Docker Kubernetes Kafka Elasticsearch Apache Airflow Snowflake and Terraform
Familiarity with CI/CD best practices for DataOps and deployment automation
Experience developing with Docker and deploying into Kubernetes-based environments

About the Data Services Team:
We are a rapidly growing organization made up of Software and Data Engineering and DevOps team with a strong DevOps culture focused on building a next-generation Data as a Service (DaaS) platform. We are seeking a strong technical lead who are is passionate about designing scalable real-time data systems that deliver high-quality trusted data across the company.

Our platform leverages technologies such as Apache Kafka for real-time data ingestion Apache Flink for stream processing and transformation Snowflake for scalable warehousing and AWS as our cloud backbone. We focus on serving data as via APIs and event streams to enable on-demand access analytics and machine learning across product and engineering teams.

This is a newly formed group with a mandate to drive meaningful change by enabling fast reliable and consistent access to data. We aim to eliminate organizational silos and foster a strong culture of collaboration and ownership. If you see a high-leverage solution to a long-standing data problem we support tearing down legacy systems and building the right solution provided you have a strong plan and the drive to make it happen.