Part-Time Data Engineer: Build Pipelines & Mentorship

Energy Innovation Corp; Arlington (TX); On-site; USD 89,000 - 117,000; Part time

Benefits offered by this job

Strong benefits

Mentorship culture

Part-time schedule

Job summary

Energy Systems Corp in Arlington, TX is seeking a Data Engineer for a part‑time, mid‑level role with a strong focus on data pipelines and NumPy integration. The position emphasizes mentorship among senior engineers and fast growth aligning with a dynamic startup culture.

The salary range is $89,000 to $117,000 per year, with comprehensive benefits and a collaborative environment. The role requires the ability to balance rapid delivery with reliability, optimize ETL pipelines, and implement best

Qualifications

• Experience with NumPy and data engineering workflows.
• Ability to design and optimize ETL pipelines.
• Strong debugging skills under pressure and tight timelines.
• Clear written and verbal communication across teams.

Responsibilities

• Decide when to buy NumPy versus build it for Energy Systems Corp's Arlington, TX stack.
• Catch the Stress Management race conditions that surface under Arlington peak traffic.
• Translate ETL pipelines outages into fixes to improve reliability for Arlington launches.
• Pair Stress Management and Accountability in scalable pipelines Energy Systems Corp can extend later.
• Keep Energy Systems Corp's NumPy CI under ten minutes so Arlington, TX engineers stay in flow.
• Drive adoption of best practices in testing, security, and observability.

Skills

NumPy

ETL pipelines

Debugging

Communication

Mentorship

Deadline-driven

Tools

CI/CD

Job description

Energy Systems Corp in Arlington, TX is seeking a Data Engineer for a part‑time, mid‑level role with a strong focus on data pipelines and NumPy integration. The position emphasizes mentorship among senior engineers and fast growth aligning with a dynamic startup culture.

The salary range is $89,000 to $117,000 per year, with comprehensive benefits and a collaborative environment. The role requires the ability to balance rapid delivery with reliability, optimize ETL pipelines, and implement best