Are you driven by the opportunity to pioneer the next advancements in healthcare and make a significant difference in patient care? Are you inspired by the potential of data and medical research to revolutionize medical treatments? Our Client is seeking a Data Engineer to lead the charge in leveraging data to enhance healthcare outcomes and save lives.
As an integral part of the Data Engineering team, you will thrive in a dynamic setting that collaborates extensively across various departments, including Engineering, Product, Customer Success, and Marketing. Your role will involve tackling a wide range of challenges that depend on data for insights, benefiting both our business and our clients. We place a high value on dedication, inquisitiveness, and proactivity, crucial for maximizing the potential of Our Client's data to benefit our users and support strategic decisions. Your contributions will have a far-reaching impact across the organization.
Role Responsibilities
- Purify and manage extensive, intricate datasets utilizing tools like SQL and Python.
- Transfer client data into Our Client's platform in accordance with defined service level agreements (SLA).
- Implement comprehensive data quality assurance practices throughout the ETL process.
- Engineer, refine, and sustain scalable data pipelines to facilitate healthcare data analysis.
- Collaborate with data analysts to comprehend their requirements and devise solutions to address those needs.
- Enhance the efficiency of data pipelines and systems.
- Work in partnership with various teams to amalgamate data from diverse sources.
Requirements
- BS/MS in Computer Science, Engineering, Mathematics, or a related discipline.
- Over 2 years of experience in Data Engineering.
- Proven expertise in designing, constructing, and managing ETL infrastructure within a live environment.
- Proficiency in handling large, complex datasets.
- In-depth understanding of SQL and proficiency in at least one programming language (e.g., Python, Java, Ruby, etc.).
- Familiarity with version control systems (e.g., Git) and the creation of reusable, adaptable code.
- A strong drive, excellent analytical and problem-solving abilities, and meticulous attention to detail.
Nice to Haves
- Background in Healthcare, Finance, or other regulated sectors.
- Experience with workflow management tools like Airflow.
- Knowledge in machine learning and/or business intelligence.
- Familiarity with cloud services such as AWS, Google Cloud Platform, or Azure.
Benefits
- Exceptional Benefits - Premium health, dental, and vision insurance. Additional benefits include 401K.
- Mission-Driven Culture - Our team is passionately committed to addressing complex challenges, advancing medical pra