APrime Technology · 2 days ago
Senior Software Engineer - Data Science / Data Engineering
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Enterprise SoftwareInformation Technology
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Responsibilities
Responsible for leading or collaborating on engineering design, development, and deployment of features and projects.
Write clean, reusable, well-documented code. Improve code structure and architecture in service of testability and maintainability
Work with colleagues and client team to solve problems, extract requirements, set expectations around delivery timelines, and surface risks or hidden/unanticipated scope with minimal direction
Qualification
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Required
Practical experience with modern ETL platform or products, such as Airflow, Prefect, Luigi
7+ years of post-internship professional experience in a full-time Data Engineering role, or a Software Engineering or Data Scientist role with strong Data Engineering elements
3+ years of working with SQL and relational database systems, such as MySQL, Postgres
2+ years of working with the standard set of Python-based data tools and frameworks, i.e. Pandas, NumPy/SciPy
Strong communication, critical thinking, and problem-solving skills
Preferred
Experience working with healthcare-related datasets or entities, e.g. insurance plans, PBMs, Medicare/CMS, healthcare providers
Experience developing software applications with a substantial AI/ML component
Familiarity with domains such as NLP, computer vision, conversational interfaces
Advanced degree in Math, Statistics, Data Science, or other scientific field with a heavy focus on statistical/data analysis
Benefits
Competitive base salary
Generous incentive and bonus plans
Access to equity in APrime’s portfolio of startup client companies
401k offering with employer match
Unlimited Paid Vacation and Sick Days
12 paid company holidays
Paid and unpaid parental leave benefits
Health Insurance benefits (Medical, Dental, Vision, Short Term Disability)