Analytics Engineer

Analytics Engineer 

Company Description  

We are building the world's largest in-home care system.   

Healthcare is rapidly moving into the home, creating an enormous market opportunity that’s growing daily as consumers increasingly demand more convenient healthcare options.  

Technology is the engine that powers our foundation. It ensures we can reach massive scale and drives differentiation from any other healthcare company entering this space. We’re using data to ensure patient safety and tailor the care to patients’ specific needs which allows for better care delivery from patient onboarding, patient care, and post care follow-up.   

DispatchHealth is a Series D startup with more than $400m in funding and a $1B+ valuation. We’re backed by Oak, Tiger Global, Alta Partners, Optum Ventures, Questa Capital, ad EchoHealth Ventures.  

Team Culture  

We’re a remote first org and our engineering team is spread out across the US, Mexico, and Ukraine. Our culture is focused on impact, accountability, and collaboration.   

As a team, we share the goal of driving the company forward and transforming healthcare through the technology we build. We believe the only way we can accomplish our goal is together, and that our whole is greater than the sum of our parts. We collaborate closely across every function because we recognize that no individual function can solve the whole problem as well as we can when we all work together.  

With our teammates spread out across different cities, we actively support each other and cultivate an environment where everyone is comfortable sharing ideas regardless of seniority or function, and where the best ideas consistently win. We know the positive feeling we get when we feel heard, and we reciprocate that deep engagement with others when they’re talking or presenting so that we gain alignment and promote our collective actions.  

Come join us on the journey to transform healthcare!  

Position Summary: 

As an analytics engineer you will provide clean data sets to end users and model data in a way that empowers data analysts, data scientists, and other end users to answer their own questions. You will spend your time transforming, testing, deploying, and documenting data. You will also work cross-functionally to understand the data needs of specific product areas. As the person most directly responsible for materializing critical data for end users, you will apply software engineering best practices, including version control and continuous integration to the analytics code base. The ideal candidate is someone with strong data analytics experience who wants to move into data engineering and who believes in data as a strategic asset. 

What You'll Achieve: 

• Develop requirements to build new data models that unlock critical data 
• Build data models using software development best practice 
• Create clear and consistent documentation for all company data elements 
• Implement test-driven processes to ensure data accuracy 
• Understand business functional areas and develop data models that take into account current and future states of our platform 
• Contribute to the technical excellence and outcomes of the data engineering team  

Skills You'll Need to Bring: 

• BA/BS in a quantitative field  
• 2+ years of data analytics or data engineering experience 
• 3+ years of progressive SQL experience 
• 3+ years of experience with data modeling and query optimization 
• Familiarity with bash scripting and command line tools 
• 1+ years of Python experience strongly preferred 
• Experience using DBT preferred 
• Ability to work cross functionally to document business needs and write user requirements 

Technologies we use and teach:  

• DBT 
• Python 
• Redshift 
• Looker 
• Amazon Web Services 

The team:   

Reporting to Dan Edstrom, VP of Data Engineering & Data Science  

Others you will learn from and collaborate with:   

• Michael Duncan, Senior Data Engineer 
• Tomas Moreno-Vasquez, Senior Data Engineer
• Brian Baker, Data Analytics and Product leadership 
• Fiona Cummings, Data Analytics 

Our benefits  

• Health insurance coverage  
• Mental health benefits  
• Unlimited Vacation time  
• Competitive Salary  
• Stock options  
• Career ladders and bi-annual performance review  

Location: Remote, USA  

The salary pay range for this position in Colorado is $110,000 - $130,000/yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. Our total compensation package also includes stock options.  

DispatchHealth is an equal opportunity employer committed to creating and supporting a diverse and inclusive team and serving all communities. All qualified applicants will be considered for employment regardless of race, gender, gender identity or expression, sexual orientation, religion, national origin, disability, age or veteran status. We welcome diverse perspectives and people who aren't afraid to challenge the standard. If you need additional accommodations to feel comfortable during your interview process, please email us at tech-recruiting@dispatchhealth.com. 

To see our Employee Privacy Notice, please see here: https://www.dispatchhealth.com/employee-privacy-notice/ 

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