Data Platform & Analytics Engineer

Staff/Principal Data Platform & Analytics Engineer

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This range is provided by PROCEPT Bio Robotics. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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Embark on an enriching journey with PROCEPT Bio Robotics, where our vision, mission, and values guide everything we do as a company. At PROCEPT, we put the patient first in everything we do and are committed to revolutionizing treatment for benign prostatic hyperplasia (BPH, otherwise known as prostate gland enlargement) through innovation in surgical robotics. As our company succeeds and grows, we improve the quality of life of patients, provide more effective treatment options for surgeons, uphold the trust of our shareholders.

That starts with a commitment to our People with a focus on creating an evolving landscape for your career, brimming with transformative opportunities that provide continuous career growth opportunities.

We are seeking an experienced and dynamic Staff/Principal Data Platform & Analytics Engineer to build cloud data and analytics platform at PROCEPT Bio Robotics. This is a critical role that will enhance and expand data platform and analytics for the organization.

Reporting directly to the director of software engineering, this experienced individual will propose the enhancement to the current data architecture and pipelines and lead the implementations of the solutions. The successful candidate will work closely with engineering, product and corporate IT teams to deliver the solutions to accelerate the insight (fleet reliability, site utilization, product telemetry).

• Design and enhance the architecture for cloud platform, data pipelines, ETL workflows, including Snowflake integrations, event-driven streaming using Event Bridge, and schema management
• Collaborate with cross functional teams to build robust workflows to deploy the software packages and collect large volume data to/from deployed devices in both production and QA environments
• Lead the development of data analytics platform to accelerate the insights of fleet reliability, site utilization
• Define the technical direction for scalability, security, observability and maintenance of our products and data platforms
• Enhance the dataflow and integration with data observability platforms
• Take concepts and create prototypes and propose best usability, workflow, and features

• Bachelors/Masters degree in Computer Science or a related field
• 8 or more years of experience of Analytics Engineer / Data Engineer
• 8 or more years of experience with database management, including SQL and No
  
  SQL databases
• 8 or more years of experience with Snowflake performance tuning, dbt best practices, dimensional modeling/star schemas
• 8 or more years of experience working with ETL on AWS
• 8 or more years of experience working with data quality, lineage/catalog , and SLA design
• 8 or more years of experience of Python

• The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• To perform this duty the employee must have the ability to sit or stand at and operate a computer terminal and walk or travel safely within the facility. The employee may occasionally lift and/or move up to 15 pounds.
• While performing the duties of this job, the employee regularly works in an office environment.

For this role, the anticipated base pay range is $192,000-$230,000 a year.

Not Applicable

Full-time

Medical Equipment Manufacturing and Data Infrastructure and Analytics

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