Tech Lead - Data Platform & Inference Engineering

Catalyst Labs; Jacksonville (FL); Hybrid; USD 130,000 - 160,000; Full time

Job summary

A tech company in the United States seeks a Tech Lead, Data & Inference Engineer to spearhead the design and scaling of a comprehensive data platform. The role requires significant experience in building production-grade data systems and offers an opportunity to mentor engineers and drive data-driven decision-making. Candidates should have strong SQL and Python skills, along with proficiency in distributed data technologies. Ideal for individuals with a proactive, accountable mindset in a hybrid or distributed environment.

Qualifications

• 6 to 12 years of experience building and scaling production-grade data systems.
• Proven expertise in data architecture and pipeline design.
• Ability to teach and mentor engineering teams.

Responsibilities

• Lead the design and scaling of the end-to-end data platform.
• Build and maintain scalable data pipelines.
• Ensure system reliability and performance benchmarks.

Skills

Strong SQL skills

Python programming

Experience with Spark

Knowledge of Flink

Kafka proficiency

Proficient in Airflow

Experience with Kubernetes

Node.js skills

Education

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics

Tools

dbt

DuckDB

CI/CD tools

Job description

A tech company in the United States seeks a Tech Lead, Data & Inference Engineer to spearhead the design and scaling of a comprehensive data platform. The role requires significant experience in building production-grade data systems and offers an opportunity to mentor engineers and drive data-driven decision-making. Candidates should have strong SQL and Python skills, along with proficiency in distributed data technologies. Ideal for individuals with a proactive, accountable mindset in a hybrid or distributed environment.