People Data Engineer

Bertoni Solutions

. Build and maintain scalable people-data models within the enterprise data warehouse .

Posted 9/23/2026full-timeRemote • Mexico, BrazilMid-LevelSenior💰 $30 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable data models and pipelines, with a strong focus on AI readiness and data governance. Proficient in SQL, Python, and Azure Cloud technologies to support advanced analytics and data architecture.

Highest-signal resume keywords

Data EngineeringData ModelingSQLAzure CloudHR / People Data Experience

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ModelingETL/ELTAPIsSQLPythonAutomated TestingVersion ControlData Quality ControlsProduction Support

Soft Skills

Proactive Problem SolvingTechnical DocumentationCollaboration

Tools & Technologies

Azure Data FactoryAzure SynapseBlob StorageData LakeDatabricksWorkdayEnterprise Data Warehouses

Industry Keywords

Sensitive-Data GovernanceAI/ML Data EnablementData LineageData Quality MonitoringIncident Management

Tech Stack

Tools & technologies

AzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Build and maintain scalable people-data models within the enterprise data warehouse
Translate approved business definitions and product requirements into technical data specifications, structures, and reusable data assets
Establish architecture patterns for dashboards, analytics products, scorecards, and approved AI use cases
Partner with the Enterprise Data Team on source-data onboarding, engineering dependencies, release planning, and production implementation
Maintain technical documentation for data models, integrations, transformation logic, dependencies, and platform components
Identify and recommend architecture, platform, and infrastructure investments for an AI-ready People Data platform
Establish automated data-quality monitoring, validation rules, reconciliation controls, and exception alerts
Implement and maintain end-to-end data lineage
Define and own production support, incident management, and escalation practices
Monitor platform health, pipeline performance, refresh reliability, and recurring failure patterns
Implement technical controls for access, privacy, confidentiality, retention, and sensitive-data handling
Partner with governance, privacy, legal, security, HR technology, and enterprise data stakeholders
Build and maintain the governed data foundation for approved AI, machine learning, and advanced analytics use cases
Support the technical design and implementation of the People Data AI Control Tower
Own the AI-readiness roadmap for the people data lake and drive technical delivery
Serve as the technical authority for the People Data platform infrastructure roadmap

Requirements

What you’ll need

5+ years of progressive experience in data engineering, analytics engineering, or data architecture
Experience building production-grade data pipelines, models, integrations, and quality controls
Strong HR / People Data experience
Bachelor’s degree in computer science, data engineering, information systems, or a related field—or equivalent practical experience
SQL, Python, data modeling, ETL/ELT, APIs
Azure Cloud, including ADF, Synapse, Blob Storage, and Data Lake
Version control and automated testing
Databricks
Ability to proactively identify infrastructure and architecture needs and create a forward-looking technical roadmap
Experience with Workday data, Databricks or a comparable cloud data ecosystem, and BI semantic models preferred
Advanced written and spoken English fluency (B2 or C1/C2)
Workday, enterprise data warehouses, sensitive-data governance, or AI/ML data enablement strongly preferred
Contractors must use their own laptop or PC
Availability for Monday to Friday, 9 AM to 5 PM EST, 40 hours per week

Benefits

Comp & perks

100% remote opportunity
Full-time schedule
Contract renewable based on performance
No paid holidays or vacation, tax deductions, or insurance (explicitly stated contractor terms)
Opportunity to work with a multinational team
Use of Swiss-rooted organizational practices and Latin American development expertise