Senior Data Engineer
Regard
Data Science
New York, NY, USA
Posted on Jul 18, 2025
As a Senior Data Engineer at Regard, you’ll be involved in all stages of building our next generation of data infrastructure. Your primary objective will be to develop high-quality data architecture solutions which will be used for customer analytics, product & engineering insights, and business intelligence. You will architect, build and maintain our data platform, select tools, codify best practices, and lead and mentor others.
About Regard
Our mission is to bring world-class healthcare to everyone. Regard is the world’s first comprehensive, automated diagnosis tool. Regard streamlines clinical and revenue cycle efforts to dramatically improve hospital finances, patient safety, and physician happiness. We are excited by challenges, mission-oriented work, and meaningful relationships. We work closely with some of the top health systems in the country and are leading the change that healthcare - one of the largest and most inefficient industries in the world - needs. We want you to join us.
Responsibilities:
- Build batch pipelines to process and consolidate data into the data warehouse supporting analytics and reporting
- Develop near real-time pipelines delivering data to the vector store powering our LLM-based products
- Collaborate with engineering teams to design scalable data infrastructure and ensure data quality
- Partner closely with product to define and evolve Regard’s data model for analytics, business intelligence, and future data-driven initiatives
- Build and maintain dashboards that deliver actionable insights to internal and external stakeholders
- Provide operational support and ensure reliability of data pipelines through proactive monitoring and alerting systems
Qualifications:
- BS in Computer Science, Mathematics, Statistics, related data field or equivalent experience
- 5+ years of experience in data engineering roles building data pipelines
- 3+ years of experience in public cloud provider technologies (AWS tooling such as Glue, Kinesis, or EMR)
- Expertise in SQL
- Experience in Python programming
- Experience with orchestration tools such as Dagster, Prefect, or Airflow
- Experience with a business intelligence platform such as (Tableau, Looker, Metabase, Quicksight, etc)
- Able to travel up to 4 weeks a year for company co-working and/or retreat weeks
Preferred Qualifications:
- Experience working with Dagster
- Experience working on an enterprise SaaS technology product
- Exposure to startup and/or high growth environments
- Experience supporting training of ML models
- Strong verbal and written communication skills
Hybrid Work | Location | Work Authorization
- For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City metro area
- We expect our Engineers to be in the office on Tuesdays and Thursdays. We may request more frequent in-office work during the onboarding period
- We will provide relocation assistance to anyone who does not already reside in the NYC metro area
- We prefer hiring people within commuting distance of our NYC office because we value getting together in person regularly
- For those who enjoy working from our Manhattan office on a more regular basis, we offer catered lunches and other fun perks
- Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per year
Comp | Perks | Benefits
- Eligible for equity
- 99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription
- 18 PTO days/yr + 1 week holiday break
- Annual $750 learning & development stipend
- Company-sponsored team retreat + social events
- A sabbatical program
Our goal at Regard is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. Regard is proud to be an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws. We celebrate diversity and are proud of our supportive, inclusive workplace.
All candidates must successfully complete a background check as part of the hiring process.