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Principal Data Engineer, Senior Manager (Remote) 403 views

This is a post on behalf of the AIPlus hiring partner.

Apply with Job Code # DE0bb57f

You will become a trusted advisor working hand-in-hand with clients, from data owners and analytic users to C-level executives. You will engage in and lead multi-disciplinary teams to deliver complex data / analytic cases across a variety of industries. These cases can range from:

  • Strategic assessment of existing infrastructure and business processes
  • Designing and developing the analytical layer (data warehouse, data lake, ETL, ELT, etc.)
  • Enabling business analysts by understanding their processes and attentively listening to their needs to deliver impactful solutions
  • Supporting data scientists and deploying machine learning models into production
    • Note: You will not be developing machine learning models or algorithms
  • Optimizing non-performant databases, queries, pipelines, and ML models

Who they are looking  for 

Our hiring partner is looking for people who deeply understand business problems and enjoy solving them. You are a driven self-starter who loves working with data and transforming it to pull out valuable business insights. You love building analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices. A Principal Data Engineer will also be expected to be able to completely own and manage all aspects of a client engagement. The ideal candidate will participate in the development of their rapidly growing team, assist in business vertical development, and create new value-driving initiatives for the company.

  • Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experience with managing stakeholders and collaborating with customers
  • Strong written and verbal communication skills required
  • 5+ years working with relational databases and query languages
  • 5+ years building data pipelines in production and ability to work across structured, semi-structured, and unstructured data
  • 5+ years of data modeling (e.g. star schema, entity-relationship)
  • 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
  • Expertise in software engineering concepts and best practices
  • DevOps experience preferred
  • Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
  • Experience working with big data technologies (Spark, Hadoop) preferred
  • Experience preparing data for analytics and following a data science workflow to drive business results preferred

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