Senior Data Analytics Engineer

ABOUT TOMORROW HEALTH

Tomorrow Health enables exceptional healthcare for patients and their families in the place they want to be most — home. At Tomorrow Heath, we build technology that rewires the way home-based care is ordered, delivered, and paid for. Tomorrow Health connects patients, providers, health plans, and home-based care suppliers, to ensure patients receive the correct and timely care they need to remain healthy at home.

We believe that a team’s strength is in its people. Our goal is to raise the industry standard for patient experience, and we realize this cannot be achieved without a team that reflects the vast diversity in race, ethnicity, gender, sexuality, and set of experiences and perspectives of the patients we serve. We believe in putting patients first, that many perspectives are stronger than one, and in treating those we serve just as we would our own family members. If you’re passionate about improving healthcare delivery, leveraging technology to serve people, and working in a collaborative, diverse environment, we hope you’ll join us.

THE TEAM

The Technology team at Tomorrow Health builds the software and technologies that connect and scale the home health ecosystem in order to transform the home into the preferred place of care for positive patient outcomes. Our products serve a diverse set of users – doctors, insurance companies, medical equipment suppliers, and care coordinators – and ultimately enable us to deliver a higher quality patient experience. Our team of mission-driven technologists is highly collaborative, supportive, empathetic, curious, and impact-oriented. We are dedicated to leveraging data-driven insights to enable a faster, simpler, and more transparent process for patients and healthcare partners.

THE ROLE 

We are seeking an experienced Data Analytics Engineer to develop and implement scalable data solutions that support our business objectives. This role will be instrumental in building and maintaining robust data pipelines, infrastructure, and analytics solutions.

As a Data Analytics Engineer, you will collaborate closely with cross-functional teams to ensure our data infrastructure and analytics capabilities meet organizational needs. You will play a crucial role in designing, implementing, and optimizing data pipelines and storage solutions. Additionally, you will be responsible for ensuring data quality, reliability, and performance through best practices in data engineering.

In this role, you will:

• Collaborate with cross-functional teams to understand data requirements and design scalable solutions to support business objectives and enable data-driven decision-making.
• Partner with internal and external stakeholders to integrate and standardize data from various sources.
• Design and implement robust, scalable, and maintainable data pipelines, infrastructure, and analytics solutions using modern technologies and frameworks.
• Follow and build upon best practices, including data governance, coding standards, documentation, testing, and code reviews.
• Ensure data quality, reliability, integrity, and consistency across all data processes and systems.
• Empower stakeholders with data!

ABOUT YOU

• 3+ years of experience in Data Engineering, Analytics Engineering, or related roles in the healthcare technology industry.
• Strong experience with healthcare data.
• Deep understanding of statistical analysis, data modeling, and database technologies.
• Proficiency in programming languages such as SQL, Python, R or similar.
• Strong understanding of modern data stacks, architectures, and tooling.
• Knowledge of data governance, coding standards, testing, and code review best practices.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with ETL processes and data warehousing technologies such as dbt, Fivetran, and Snowflake.
• Experience with data visualization and business intelligence tools such as Sigma, Looker, or Mode.
• Preferred but not required:
• Familiarity with Agile methodologies and DevOps practices.
• Experience with machine learning and advanced analytics techniques.
• Experience with data governance, compliance, and security practices.

BENEFITS 

• 100% employer-paid medical, dental and vision benefits
• HSA and FSA (Dependent Care and Commuter)
• Fully covered membership in One Medical for on-demand primary care, and Teladoc for 24/7 virtual care
• 12 weeks of paid parental leave for all caregivers 
• Free mental health support with BetterUp through CONCERN EAP
• Short-term, and long-term disability plan availability
• Company-sponsored Life and AD&D insurance 
• Educational reimbursement
• Monthly wellness stipend
• Commuter Benefits
• Competitive salary and meaningful equity
• Access to Vanguard 401k plan
• Unlimited vacation and 11 corporate holidays

Salary range for this position: $125,000 to $156,250/yr, depending on experience and qualifications

Learn more about our core values and working with us on our careers page and Interview Guide! 

Tomorrow Health is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.