Industrial Data Tools & Analytics Engineer

Sol-Ark Inc; Allen (TX); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Competitive salary and bonus program

Medical, dental, vision insurance

FSA/HSA

Job summary

Sol-Ark Inc. is seeking an Engineering Tools & Analytics Engineer to develop internal engineering applications, data platforms, and analytics capabilities to improve data visibility and decision making.

You will work with engineering, manufacturing, and quality teams to build tools, dashboards, databases, and APIs, applying Python, data aggregation, and visualization to drive reliability and product quality.

Qualifications

• Bachelor's or Master's in Computer Science, Data Engineering, Electrical Engineering, or a 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 keen attention to detail.
• Ability to work independently, prioritize tasks, and meet project deadlines. Excellent communication skills and ability to collaborate with multidisciplinary teams.

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 engineering teams with data-driven decision making.

Skills

Python

Data engineering

APIs

Dashboards

Education

Bachelor's or Master's in Computer Science, Data Engineering, Electrical Engineering

Tools

SQL

Git

Cloud platforms

Job description

Sol-Ark Inc. is seeking an Engineering Tools & Analytics Engineer to develop internal engineering applications, data platforms, and analytics capabilities to improve data visibility and decision making.

You will work with engineering, manufacturing, and quality teams to build tools, dashboards, databases, and APIs, applying Python, data aggregation, and visualization to drive reliability and product quality.