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Senior Data Engineer 

EOE StatementCPSI is a proud equal opportunity employer (EOE). However you identify and whatever background you bring, we welcome you to apply to any role that would make you excited to work in healthcare. All employment decisions are based on business needs, job requirements and individual qualifications, regardless of race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law. We are committed to being a company where people thrive by being themselves and are inspired to do their best work every day.

As a Data Engineer you will work on an Agile team that is digitally enabling the company by building data pipelines that drive analytic solutions. These solutions will generate insights from the connected data, enabling the organization to advance the data-driven decision-making capabilities of the enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data and software engineer with experience creating data products supporting analytic solutions.

What you'll do:

  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to ELT principles and business goals
  • Solve complex data problems to deliver insights that helps the organization's business
  • Create data products for analytics and data scientist team members to improve their productivity
  • Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
  • Foster a culture of sharing, re-use, design for scale, stability, and operational efficiency of data and analytical solutions
  • Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve the organization's productivity as a team
  • Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.


Position Requirements

What You Will Need to be Qualified:

  • Bachelor's degree in a quantitative discipline such as Computer Science, MIS or related field with 5 years of related experience.
  • 5 years' data engineering experience.
  • 3 years' experience with cloud technology at the enterprise level for data and analytics.
  • Experience using Data Orchestration, Transformation, Ingestion, and Testing tools in the Azure ecosystem. Azure Data Factory, Azure Data Lake Storage, Azure Databricks
  • Strong experience in Analytical Data Modeling (Dimensional and/or Data Vault)
  • Strong experience using dbt
  • Strong experience writing Analytical SQL Queries
  • Strong experience in distributed data systems
  • Strong understanding of algorithms and data structures, and when to apply them.
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