Senior Data Engineer – Remote with AI-Powered Pipelines

Truelogic; New York (NY); Remote; MXN 2.235.000 - 3.352.000; Vollzeit

Benefits dieser Stelle

Remote Work

USD Pay

Paid Time Off

Autonomy

Work with US companies

Zusammenfassung

Truelogic is seeking a hands-on Senior Data Engineer to build scalable data infrastructure that supports insights, predictive and generative AI models. You will lead technical workstreams, define best practices, and mentor engineers while collaborating with ML teams and cross-functional stakeholders on complex data challenges.

You will design end-to-end data solutions, integrate GA4, CRMs, CDPs, and establish standards, monitoring, and governance.

Qualifikationen

• 5+ years in data engineering with ownership and impact.
• Strong cloud data platform experience and architecture judgement.
• Proficiency in Python and SQL for data processing and ETL.
• Experience deploying data workloads in AWS, GCP, or Azure.
• Product orientation to deliver measurable business value.
• Hands-on with AI-powered coding and intelligent workflows.
• Mentoring others and establishing engineering standards.
• Familiarity with GA4, CRMs, CDPs and marketing data ecosystems.
• Solid software fundamentals: VCS, testing, code review, CI/CD.
• Excellent communication across technical teams, english(min B2+).

Aufgaben

• Design, build, and scale data pipelines and infrastructure.
• Collaborate with ML engineering for model training and serving.
• Improve team processes, tooling, and ways of work.
• Contribute to knowledge sharing and community of practice.
• Translate business needs into data solutions driving value.
• Integrate marketing data sources into well-modeled datasets.
• Establish data engineering standards, docs, and monitoring.
• Apply AI-enabled workflows to accelerate delivery.

Kenntnisse

Python

SQL

Cloud data platforms

ETL

CI/CD

English (B2+)

Tools

MLflow

SageMaker

Vertex AI

Jobbeschreibung

Truelogic is seeking a hands-on Senior Data Engineer to build scalable data infrastructure that supports insights, predictive and generative AI models. You will lead technical workstreams, define best practices, and mentor engineers while collaborating with ML teams and cross-functional stakeholders on complex data challenges.

You will design end-to-end data solutions, integrate GA4, CRMs, CDPs, and establish standards, monitoring, and governance.