Engineering Tools & Analytics Engineer - Onsite in TX

Polluxa, Inc.

Allen (TX)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Polluxa, Inc. is seeking an Engineering Tools & Analytics Engineer to develop internal engineering applications, data platforms, and analytics capabilities. This role collaborates with engineering, manufacturing, and quality teams to improve data visibility and decision making.

The ideal candidate will have strong software development and data engineering skills, with experience aggregating and analyzing engineering and manufacturing data, and a passion for automation and dashboards.

Qualifications

  • Requires a Bachelor's or Master’s in Computer Science, Data Engineering, Electrical Engineering, or closely related field.
  • Proficiency with Python and experience building internal tools and automation.
  • Experience with databases, APIs, and data aggregation pipelines.
  • Familiarity with dashboard and visualization tools.
  • Understanding of manufacturing, test, and field data workflows.
  • Strong analytical and problem-solving abilities with attention to detail.

Responsibilities

  • Develop internal engineering applications and automation tools.
  • Build databases and APIs for engineering data.
  • Aggregate manufacturing, test, and field telemetry.
  • Create dashboards and health metrics.
  • Analyze reliability trends and product quality.
  • Develop automated reporting and alerting; support data-driven decisions.

Skills

Python programming
Data engineering
Analytical thinking
Communication skills
Independent worker

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

APIs & Databases
Git
Dashboards/Visualization tools
Cloud or on-prem data platforms

Job description

Polluxa, Inc. is seeking an Engineering Tools & Analytics Engineer to develop internal engineering applications, data platforms, and analytics capabilities. This role collaborates with engineering, manufacturing, and quality teams to improve data visibility and decision making.

The ideal candidate will have strong software development and data engineering skills, with experience aggregating and analyzing engineering and manufacturing data, and a passion for automation and dashboards.

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