Senior Data Engineer

1 day ago

Miami, Florida, United States Nsight Health Full time
Job Summary

Nsight Health, Inc. is a pioneering company in the Remote Patient Monitoring and Chronic Care Management space within Value-based Healthcare. We leverage data-driven insights to inform strategic decisions and drive business growth. As a Senior Data Engineer at Nsight Health, Inc., you will play a pivotal role in shaping our data infrastructure and driving actionable insights that enable us to provide exceptional patient care.

We are seeking an experienced Senior Data Engineer to join our Data Analytics team. In this role, you will be responsible for designing, implementing, and maintaining data pipelines, data stores, data lakes, as well as analyzing and visualizing data to provide valuable insights to various departments within the organization. You will work closely with cross-functional teams to turn data into actionable information that drives improved patient outcomes and strategic business decisions.

Key Responsibilities
  • Design, develop, and maintain data pipelines to collect, process, and store large volumes of structured and unstructured data.
  • Collaborate with data scientists, engineers, and other stakeholders to ensure data pipelines are efficient, scalable, and reliable.
  • Implement data quality checks and monitoring to ensure data accuracy and consistency.
Requirements
  • Bachelor's or Master's degree in a related field (e.g., Computer Science, Data Science, Engineering) preferred.
  • Proven experience (5-10+ years) in data engineering and data analysis roles.
  • Proficiency in programming languages such as Python, SQL, and experience with data manipulation libraries (e.g., Pandas).
  • Strong knowledge of data warehousing, ETL processes, and data modeling.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark).
  • Strong understanding of software security principles and best practices.
  • Strong understanding of software development methodologies, including Agile and Scrum.
  • In-depth knowledge of HIPAA regulations and their implementation in software systems.
  • Strong analytical, problem-solving, and decision-making capabilities, with the ability to manage complex projects and prioritize effectively.
  • Strong attention to detail is required.
  • Exceptional communication skills, capable of articulating complex concepts to a broad audience and fostering cross-departmental collaboration.
  • Excellent professionalism is required to effectively interact cross-functionally within the organization.
  • Strong business acumen and the ability to align data analytics initiatives with organizational goals.
  • Experience working with cross-functional teams and fostering collaboration.
  • Adaptability and willingness to learn new technologies.
Core Values
  • Ownership - We take full responsibility for our actions and outcomes.
  • Positivity - We foster a positive and supportive work environment.
  • Discipline - We strive for excellence in our craft and maintain high standards.
  • Agility - We adapt quickly to changing priorities and responsibilities.
  • Transparency - We communicate openly and honestly with our colleagues and stakeholders.
  • Execution - We deliver results and take pride in our work.

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