Senior Data Engineer, Data Platform at AcuityMD

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

09 May, 26

Salary

250000.0

Posted On

08 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Machine Learning, Batch Processing, Cloud Technology, Data Quality, Data Pipelines, Collaboration, Communication

Industry

Software Development

Description

Senior Data Engineer, Data Platform AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We’re a high-growth SaaS company scaling rapidly. In this role, you will lead initiatives to improve and exapnd core data products and you will extend our data platform capabilities. You will build highly instrumented and automated data pipelines to obtain new data, improve the quality and performance of existing data assets, and architect a scalable platform that improves the development of our data products. You will report to the Senior Engineering Manager, Data, and work cross-functionally with engineering, product, and other teams. Team Mission The Data Team is on a mission to represent medical reality by transforming raw data into assets that directly generate sales for our customers and help to bring cutting edge medical technology to the patients that need it most. We thrive on the challenge of turning complexity into simplicity and driving the continuous growth of our products. We acquire terabytes of data from diverse sources, and refine them with modern data processing tools and machine learning algorithms. This shapes the future of our products and delivers value to the customers. Responsibilities Design resilient and well-modeled data layers with clear interfaces and versioning Improve data quality at scale, build modular and reusable packages and instrument pipelines for rich telemetry Identify scalability problems and constraints in our products, and proactively work to improve them Drive and introduce initiatives across our data team to improve developer experience and develop new data capabilities Create and maintain the most reliable, secure, performant and high throughput service for our customers by using cutting-edge cloud technology Your Profile 8+ years in data engineering with significant data product ownership Strong proficiency with standard machine learning techniques Experience with batch processing of data at scale (>100s of Terrabytes) Strong ownership, collaboration and communication skills Nice to Haves Familiarity with the GCP, BigQuery, dbt and Dagster data stack Familiarity with healthcare domain and data AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, market data and may vary from the range provided. Base salary range: $155,000 - $250,000 You must have an eligible work permit in the USA to be considered for this position. We Offer: Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health). Learning Budget: Reimbursements for relevant learning and up-skilling opportunities. Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees. Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work. Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents. Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement. Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings. Parental Leave: 6-12 weeks of fully-paid, flexible parental leave. Who We Are: The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values. We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors. The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients. AcuityMD is an Equal Opportunity Employer AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

Responsibilities

You will lead initiatives to improve and expand core data products and extend our data platform capabilities. This includes building automated data pipelines and improving the quality and performance of existing data assets.