Data-Driven Engineering Tools & Analytics Engineer

Sol-Ark, LLC; Allen (TX); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Bonus program

Medical

Dental

Vision

Accidental

FSA

HSA

PTO

401(k)

Job summary

Sol-Ark, LLC in Allen, Texas 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 build tools and dashboards that improve data visibility and decision making.

Ideal candidates have strong Python and data engineering skills, experience with databases, APIs, and data aggregation, and a passion for reliability and product quality

Qualifications

• Bachelor's or Master's in CS, Data Eng, EE, or related field.
• Proficiency with Python and building internal tools.
• 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.
• Ability to work independently, prioritize tasks, and meet deadlines; strong communication.

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

Data analytics

APIs

Data visualization

Problem solving

Independent working

Education

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

Tools

SQL

Git

Cloud platforms

APIs

Job description

Sol-Ark, LLC in Allen, Texas 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 build tools and dashboards that improve data visibility and decision making.

Ideal candidates have strong Python and data engineering skills, experience with databases, APIs, and data aggregation, and a passion for reliability and product quality