Sr. Data Engineer

Nice to meet you, we’re FULLFILL!

At FULLFILL we’re enthusiastically committed to eradicating obesity-related diseases through compassionate support, mindful practice, engaging lessons, a supportive community, self-nurturance, and a lot of fun!

FULLFILL takes an innovative approach to lifestyle transformation and weight loss, combining professional, credentialed health coaches with a content-rich digital experience that helps people take ownership of their health - physical, social, mental, and emotional. We are on a mission to lead millions to a healthier and happier future.

We fit into the healthcare industry because we provide clinically proven and evidence based interventions to help populations achieve outcomes including reduced rates of obesity, diabetes and heart disease. These reductions help our clients reduce medical costs over time, and more importantly, help the people we serve live their best lives.

As a startup, we need you to bring your whole self to work! We embrace diversity of all types at FULLFILL and believe we will reach our full potential by understanding and leveraging the differences on our team. You’ll work as an integral member of our tight knit group of remote employees.

The Role:

The role of Sr. Data Engineer will help us use data to tell the story of our success to clients, and consumers. We will use data insights to sell our products, guide the direction of the product, run the business, and ensure we are delivering on our commitments. You will help guide the strategy of how we will accomplish these goals as we quickly scale to meet the high demand for our product. You will need excellent analytical and problem-solving skills working with a variety of data sets, including big data.

How you will make an impact:

As part of our small but mighty team, you will influence the design and implementation of our data management strategy. Day to day work will include:

• Build complex queries on large data sets and performance tune as needed
• Translate business needs into data visualizations
• Collaborate with data platform teams
• Foster self-service analytic environment by providing domain and tool expertise
• Perform root cause analysis on reporting and data issues
• Self-motivate, set goals, prioritizes, and meet deadlines
• Partner with internal and external peer groups to design and implement solutions.
• Create technical documentation

Required Qualifications:

• Healthcare experience such as reasonable knowledge of healthcare information (population health, eligibility, health data, claims, billing, HIPAA)
• Bachelor's degree in Computer Science, Mathematics, Engineering, or related field, OR equivalent experience
• 4+ years of experience in complex SQL programming - preferably AWS Redshift
• 1+ years of professional experience with AWS QuickSight and Tableau
• Ability to work with databases in Cloud environments
• Solid understanding of Data Warehousing concepts and technologies
• Ability to communicate with internal and external teams both verbally and written

Preferred (Bonus) Qualifications:

• Digital health / health tech experience
• Experience at a startup
• Experience with enterprise data governance initiatives, including implementing enterprise level tools and processes
• Experience with AWS Lambda, SageMaker, EMR, PySpark, Python
• Experience with Jupyter notebooks
• Graduate degree in Data Science, Machine Learning, Operations Research, Statistics or equivalent

Comp & Benefits

• Unlimited PTO
• 9 Paid FULLFILL Holidays a year
• Employer-sponsored health, dental, vision, long-term disability and life insurance coverage
• Fully work from home position
• Employer-sponsored 401k

FULLFILL, INC is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We celebrate diversity and are committed to creating an inclusive environment for all employees.