Job Description -
Data Engineer
Client: Intuitive Surgical
Location: Santa Clara, CA with a hybrid schedule
Interview process: 2 video interviews
4-9 months project
Job Description:
We are seeking a skilled Data Application Engineer to design, build, and maintain data-driven applications and pipelines that enable seamless data integration, transformation, and delivery across systems.
The ideal candidate will have a strong foundation in software engineering, database technologies, and cloud data platforms, with a focus on building scalable, robust, and efficient data applications.
Key Responsibilities:
- Develop Data Applications: Build and maintain data-centric applications, tools, and APIs to enable real-time and batch data processing.
- Data Integration: Design and implement data ingestion pipelines, integrating data from various sources such as databases, APIs, and file systems.
- Data Transformation: Create reusable ETL/ELT pipelines to process and transform raw data into consumable formats using tools like Snowflake, DBT, or Python.
- Collaboration: Work closely with analysts, and stakeholders to understand requirements and translate them into scalable solutions.
- Documentation: Maintain comprehensive documentation for data applications, workflows, and processes.
Required Skills and Qualifications:
- Education: Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience).
- Programming: Proficiency in programming languages Python, C# , ASP.NET (Core)
- Databases: Strong understanding of SQL, database design, and experience with relational (e.g. , Snowflake, SQL Server) databases
- Data Tools: Hands-on experience with ETL/ELT tools and frameworks such as Apache Airflow (DBT - Nice to Have)
- Cloud Platforms: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and their data services (e.g. , S3, AWS Lambda etc.).
- Data Pipelines: Experience with real-time data processing tools (e.g. , Kafka, Spark) and batch data processing.
- APIs: Experience designing and integrating RESTful APIs for data access and application communication.
- Version Control: Knowledge of version control systems like Git for code management.
- Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues.
Preferred Skills:
- Knowledge of containerization tools like Docker and orchestration platforms like Kubernetes.
- Experience with BI tools like Tableau, Power BI, or Looker.
- Soft Skills:
- Excellent communication and collaboration skills to work effectively in cross-functional teams.
- Ability to prioritize tasks and manage projects in a fast-paced environment.
- Strong attention to detail and commitment to delivering high-quality results.
The Data Engineer (Data Application Engineer) at Intuitive Surgical will design, build, and maintain data-driven applications and pipelines that integrate, transform, and deliver data across multiple systems. This role requires a mix of software engineering, data architecture, and cloud platform expertise, emphasizing scalability, automation, and performance.
Key Responsibilities
- Develop and Maintain Data Applications: Build APIs, tools, and services for real-time and batch data processing.
- Data Integration: Design ingestion pipelines to connect databases, APIs, and file systems.
- ETL/ELT Development: Create reusable data pipelines using Python, Snowflake, and DBT to transform raw data into analytical formats.
- Collaboration: Partner with analysts and stakeholders to translate business requirements into scalable data solutions.
- Documentation: Maintain detailed documentation for workflows, data processes, and system integrations.
Core Technical Skills
- Programming: Python, C#, and ASP.NET Core
- Databases: Strong SQL skills; experience with Snowflake and SQL Server
- Data Tools: ETL/ELT frameworks (Airflow, DBT preferred)
- Cloud Platforms: AWS, Azure, or Google Cloud Platform (S3, Lambda, etc.)
- Data Processing: Experience with real-time tools like Kafka and Spark
- APIs: Skilled in designing and integrating RESTful APIs
- Version Control: Git proficiency
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