Data Engineer: Kafka, NLP, Growth Mentor (OH)

Egreenservices; Toledo (OH); Presencial; USD 64.000 - 95.000; Jornada completa

Descripción de la vacante

Strategic Consulting Inc in OH is seeking a mid-level Data Engineer who has shipped Kafka to production and learned from the experience. The role offers a salary range of $64,000–$95,000 and room to run as you scale data infrastructure in Toledo.

You will re-architect data flows, build internal tooling, collaborate with product and design, and optimize NLP queries to prevent timeouts under load. Mentoring newer engineers is encouraged as the team grows, with emphasis on practical data

Formación

• Judgment to distinguish a fire drill from an actual fire.
• Hands-on proficiency with Looker, ideally paired with Power BI.
• Relentlessly curious problem-solving that doesn't wait for permission.
• Practical Data Visualization skills sharpened in a freelance setting.

Responsabilidades

• Re-architect the technology flow so Python handles ten times Toledo's current load
• Build internal tooling that improves developer productivity and velocity
• Collaborate with product and design teams to ship features end to end
• Tune Natural Language Processing queries until the OH database stops timing out under load
• Turn vague technology tickets into crisp Kafka acceptance criteria
• Lead Data Mining design reviews that catch the costly mistakes before Toledo, OH builds them
• Mentor newer mid-level hires on how Strategic Consulting Inc actually wires Vector Databases together
• Push Natural Language Processing changes safely behind flags so Toledo, OH rollbacks take seconds

Conocimientos

Problem solving

Mentoring

Cross-functional collaboration

Kafka production experience

Herramientas

Looker

Power BI

Descripción del empleo

Strategic Consulting Inc in OH is seeking a mid-level Data Engineer who has shipped Kafka to production and learned from the experience. The role offers a salary range of $64,000–$95,000 and room to run as you scale data infrastructure in Toledo.

You will re-architect data flows, build internal tooling, collaborate with product and design, and optimize NLP queries to prevent timeouts under load. Mentoring newer engineers is encouraged as the team grows, with emphasis on practical data