Data Engineer, Data and Intelligence Products

AcuityMD • Full-time • Remote (Boston, MA, US) • $120k - $170k / year • 1d ago

Data Engineer, Data & Intelligence Products

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 platform 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.

In this role, you will build and refine AcuityMD's data assets and products and you will extend our data product offerings. You will build new data and intelligence products, improve the quality and interpretability of existing data products, and deliver high confidence and repeatable intelligence that fuels our MedTech-specific modules. You will report to the 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

Model new data and improve existing data products with quantitative rigor that solve customer problems and ensure correctness and interpretability
Transform and integrate raw data from multiple sources into usable, documented and high quality data and intelligence products by applying data modeling and statistical techniques
Work directly with product managers and cross-functional stakeholders to design solutions, validation frameworks and statistical benchmarks
Document and communicate technical and quantitative concepts, schemas, and data product usage guidelines for internal stakeholders
Develop and maintain batch data pipelines using Python and SQL with automated quality checks

Your Profile

You have 2+ years of experience working in a data or analytical role building data or doing quantitative analysis of data
Excellent problem-solving skills and ability to apply math/statistics to data problems
You communicate business concepts, technical requirements, recommendations and code clearly and concisely
You have built data transforms and pipelines in any capacity using a programming language such as Python
You have demonstrated ability to explore, transform, and analyze data in a any type of relational database using SQL

Nice to Haves

Familiarity across our data stack - BigQuery, Google Cloud Storage, dbt & Dagster
Familiarity with concepts in the healthcare space
Familiarity with dimensional modeling

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: $120,000-$170,000

You must have an eligible work permit in the USA or Canada to be considered for this position.

We Offer:

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.
Learning Budget: Reimbursements for relevant learning and up-skilling opportunities.
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.
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).
Competitive compensation with equity upside.

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.