Iron EagleX IncHiring

Principal Analytics Engineer

  • Remote, worldwide
  • Lead
  • Posted 2 days ago
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In one line

Senior analytics engineering role supporting several business and program areas, building pipelines and dashboards; fully remote, US citizenship needed.

About the role

Own the design of data pipelines and analytics-ready datasets, plus the dashboards and models that sit on top of them. Work spans data engineering, analytics and business intelligence for multiple programs.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, worldwide
Seniority
Lead
Skills
Python, SQL, GitLab CI/CD, Tableau, Power BI, Databricks, Pandas, NumPy
Posted
27 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Build and maintain automated ETL and ELT pipelines in Python and SQL on cloud tools
  • Create analytics-ready data models and workflows, for example in Databricks
  • Set up CI/CD for data workflows in GitLab so processes stay versioned and repeatable
  • Build interactive dashboards and reports in Tableau or Power BI for business and technical audiences
  • Clean and shape data with SQL, Pandas and NumPy for analyses and decision tools

What they look for

  • Degree in data science, computer science, statistics, maths or a similar quantitative field
  • Five or more years in analytics engineering, data engineering or data analysis, or three with a master's
  • Strong Python and SQL, plus Git or GitLab and ETL/ELT work with CI/CD
  • Comfort analysing large, complex datasets and explaining findings to non-technical stakeholders

Nice to have

  • Experience with AI or predictive modeling

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Questions about this job

Is this job fully remote, and from where?

The posting lists it as remote with no single country named, so candidates from different countries can apply.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a lead role. The posting asks for: degree in data science, computer science, statistics, maths or a similar quantitative field; five or more years in analytics engineering, data engineering or data analysis, or three with a master's; strong Python and SQL, plus Git or GitLab and ETL/ELT work with CI/CD. Skills it names include Python, SQL, GitLab CI/CD, Tableau.

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Iron EagleX IncRemote, worldwide
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