Data Engineer

Data Engineer

Location: Miami, FLReports to: Director of DataDepartment: Engineering

About eMed

eMed is a pioneering digital-health leader built on its Empathetic AI Population Health Platform. Our primary mission is to provide large employers, state/federal governments, unions, and payers with unique healthcare solutions aimed at reducing obesity, improving employee health, and lowering company healthcare costs. Our integrated GLP-1 medication weight management program utilizes state-of-the-art at-home blood collection kits and connected clinical telehealth services to screen, onboard, and manage qualified candidates, ensuring medication adherence and effective management of side effects through continuous telehealth support.

Description

We are looking for an experienced Data Engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. If you are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you.

Responsibilities

• Analyze and organize raw data
• Build data systems and pipelines
• Interpret trends and patterns
• Conduct complex data analysis and report on results
• Prepare data for prescriptive and predictive modeling
• Build algorithms and prototypes
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Develop analytical tools and programs
• Collaborate with data scientists and architects on several projects

Requirements

• 2-4 years experience as a Data Engineer or in a similar role
• Technical expertise with data models, data mining, and segmentation techniques
• Knowledge of programming languages (e.g. Python and Javascript preferred)
• Hands-on experience with SQL
• Great numerical and analytical skills
• Degree in Computer Science, IT, or similar field; a Master’s is a plus
• Experience working for a fast-moving start-up or for a health tech company is a plus
• Experience with event sourcing and event-driven architecture is a plus
• Experience with AWS-hosted data lakes and data tools is a plus

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off
• Short Term & Long Term Disability
• Training & Development
• Catered breakfast and lunch daily, snacks 
• Wellness Resources

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