Senior Data Engineer

As our first 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 and build our data platform from the ground up, select tools, codify best practices, and lead and mentor others. Strong preference for candidates based in New York City or open to relocation and willing to work a hybrid work schedule.

About Us

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 and real-time data pipelines to aggregate data from multiple source systems into a data warehouse
• Establish new data warehousing architecture and collaborate with product to build out Regard’s source data models for usage in analytics, BI, and future data projects
• Support existing BI and analytic tools (Metabase, etc) while transitioning toward a new architecture
• Integrate architecture and tooling into automated infrastructure as code to enable automated build out of new data pipelines for new customers
• Support analytics and BI customer product needs through modification of data warehouse schemas and ETL tooling as well as support in utilizing BI tooling
• Support integration of BI tooling into analytics data warehouse
• Build and support data pipelines through integration with monitoring and alerting systems and in providing operational support for those pipelines / ETLs

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, DMS strongly preferred)
• Expertise in SQL
• Expertise in a programming language used for data engineering (Python preferred)
• 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 on an enterprise SaaS technology product
• Exposure to startup and/or high growth environments
• Experience working with health technology
• Experience supporting training of ML models
• Strong verbal and written communication skills

Comp | Perks | Benefits

• Eligible for equity + performance bonuses
• 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
• Quarterly travel budget + company-sponsored housing for co-working at LA HQ

$160,000 - $185,000 a year

At Regard, we carefully consider a wide range of factors when determining compensation, including your skills, qualifications, location, and experience. We expect the base salary range for this position to be $160,000 to $185,000. This is subject to change and may be modified in the future. We encourage all interested candidates to apply.

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.