BI Engineer: Lead Data Solutions & Mentorship

TechSphere; Carlsbad (NM); On-site; USD 67,000 - 91,000; Full time

Benefits offered by this job

Mentorship

Benefits

Flexible schedule

Job summary

TechSphere in Carlsbad, NM is seeking a Backend/BI Engineer to design and optimize the data pipeline and Feature Engineering components under load.

You will collaborate with users to gather needs, mentor mid-level engineers, and streamline Jupyter integration while reducing latency and cloud costs. This role offers mentorship, comprehensive benefits, and flexible work arrangements in a fast-growing environment.

Qualifications

• Written communication clear enough to survive a forwarded email chain.
• A portfolio that speaks louder than any line on your resume.
• An instinct for prioritization when everything is labeled urgent.
• The instinct to ask "what would change your mind?" before debating.
• Flexibility to adapt your approach as business needs evolve.
• Experience thriving in a data-honest, deadline-driven setting like TechSphere.
• Proven follow-through, measured in shipped things rather than good intentions.

Responsibilities

• Sit with technology users in Carlsbad to learn what the Multitasking tool really needs.
• Mentor newer mid-level hires on how TechSphere actually wires Jupyter together.
• Bridge Active Listening and Feature Engineering so the two halves of TechSphere's platform finally talk.
• Optimize application performance, latency, and resource utilization at scale.
• Lead Apache Spark design reviews that catch the costly mistakes before Carlsbad, NM builds them.
• Trim TechSphere's cloud bill by right-sizing the MLflow infrastructure in Carlsbad, NM.
• Profile and refactor legacy code to reduce technical debt over time.

Skills

Written communication

Portfolio-driven

Prioritization

Curiosity

Adaptability

Data-driven

Delivery focus

Tools

Jupyter

Apache Spark

MLflow

Job description

TechSphere in Carlsbad, NM is seeking a Backend/BI Engineer to design and optimize the data pipeline and Feature Engineering components under load.

You will collaborate with users to gather needs, mentor mid-level engineers, and streamline Jupyter integration while reducing latency and cloud costs. This role offers mentorship, comprehensive benefits, and flexible work arrangements in a fast-growing environment.