Hybrid Principal Engineer, Data Architect – Analytics

Posted 2 hours ago

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About the role

  • Perform data analysis using Pandas/Spark packages in Python
  • Follow and complete stories/tasks in an Agile Scrum project
  • Design, implement, and document CI/CD Pipelines in GitHub
  • Coordinate and validate data flow/delivery with data engineering groups
  • Administration of analytics and data visualization tools/environments in Databricks
  • Perform code review, versioning, and production deployment
  • Create visualizations in a knowledge graph tool for delivery to stakeholders
  • Implement business concepts using ontology
  • Understand context of technical data and how to appropriately normalize data into business metrics
  • Collaborate with data governance team to implement a data dictionary
  • Automate analyses and data cleaning procedures via administration of workflows
  • Research machine learning libraries and algorithms for different analytics tasks
  • Implement machine learning experiments and develop new algorithms
  • Statistical analysis to quantify completeness and validity of a data source
  • Data organization and maintenance in a cloud environment

Requirements

  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience
  • Experience in Cloud solutions
  • Communication and presentation skills in English (verbal and written).
  • Degree in Software Engineering, or Computer Science
  • Data, analytics, and reporting experience; analytical and conceptual thinking skills
  • Python coding experience using Pandas and Spark
  • Aerospace industry experience
  • Mentoring/Coaching experience
  • SAP knowledge and experience
  • Proficient in Agile methodologies
  • Experience using JIRA/ Confluence
  • Experience with Databricks, GitHub, AWS S3, Azure Blob Storage
  • Experience in Cloud solution, design, and implementation
  • Ability to influence stakeholders and to determine acceptable solutions
  • Experience navigating competing priorities, achieving the highest level of engagement, and delivering successful outcomes in critical situations
  • Collaborative team player who is driven to take initiative and ownership of data, analytics, and reporting, while valuing clarity, consistency and continuous improvement
  • Candidates should be able to work within cross-functional teams and effectively represent solutions with senior-level leadership

Benefits

  • Medical, dental, and vision insurance
  • Three weeks of vacation for newly hired employees
  • Generous 401(k) plan that includes employer matching funds
  • Participation in the Employee Scholar Program (ESP)
  • Life insurance and disability coverage
  • Employee Assistance Plan, including up to 8 free counseling sessions.
  • And more!

Job title

Principal Engineer, Data Architect – Analytics

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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