Who we are:

We are a leader in preventive medicine with a history of over 100 years. Our evidence-based preventive health program partners with mid- and large-sized employers to offer their employees and beneficiaries a personalized medical experience focused on prevention. Our approach customizes the patient journey to be holistic, convenient, and attainable, aiming to achieve better health outcomes.

We provide access to a national preventive and primary care network, offering world-class medical care across 39 states, Washington DC, and Puerto Rico.

As an innovator and leader in personalized preventive care, we have launched a range of virtual and in-person clinical encounters and experiences. This includes Health Mentorship and Health Navigation programs, allowing individuals to conveniently access health services.

What we’re looking for:

We are seeking a dynamic, self-motivated Senior Data Engineer with a passion for optimizing and embedding analytics. Your goal will be to cultivate a data-informed culture and create insights that will be leveraged across the entire organization. You should have experience executing at a high level, solving complex problems, and delivering solutions with real business impact.

The ideal candidate has a strong background in data architecture, database design, and data modeling. You will collaborate with cross-functional teams to design, implement, and maintain our data infrastructure while also creating dashboards and reporting insights to various stakeholders.

In this role, you will:

• Serve as the liaison between technology and the rest of the business to ensure data strategy aligns with business needs.
• Institute processes to ensure data from various sources meets quality standards, is curated, and enhanced for analytical use, driving towards a "single source of truth."
• Define an enterprise blueprint for managing data as an asset and utility, unified data formats, and strategy to continuously streamline the data landscape with end users in mind.
• Build a deep understanding of the business and develop executive and operational dashboards using Quicksight to track KPIs and visually expose trends.
• Partner with cross-functional leadership to create analytic solutions that meet business objectives.
• Implement and maintain data security and privacy measures.
• Develop metrics to accurately measure business performance and enable decision-making with real-world data.
• Present key findings from projects in a concise and structured manner to enable effective decision-making, distinguishing between what management needs to know and what is nice to know.

What this role requires:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 5+ years’ experience as a Data Engineer.
• Strong experience with AWS Glue, AWS Quicksight, and Redshift.
• Robust knowledge of data architecture, database design, and data modeling.
• Attention to detail and ability to manage multiple projects in a timely manner.
• Strong analytical and problem-solving skills.
• Working knowledge of databases is a must.
• Highly proficient with Python, JAVA, SQL, and ETL processes.
• Ability to work independently and operate effectively in a cross-functional matrix environment.
• Excellent analytical, written, and verbal communication skills.

What we offer:

• Competitive salary
• Medical, dental, vision, life, and disability insurance
• Employer-matched 401(k) plan
• Tuition reimbursement
• Employee access to our preventive exam and services
• Gym membership

The salary range for this role is $125,000 - $150,000 and is determined by various factors including the candidate's experience, qualifications, and skills.