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Über
Reports to: Director of Data
Department: 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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Sprachkenntnisse
- English
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