People Data Engineer

Bertoni Solutions

. Design, build, and maintain scalable people-data models in the enterprise data warehouse .

Posted 9/23/2026full-timeRemote • MexicoMid-LevelSenior💰 $30 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and architecture, with a strong focus on building scalable data models and pipelines for AI and analytics use cases. Proficient in SQL, Python, and Azure Cloud technologies, ensuring data quality and governance in enterprise environments.

Highest-signal resume keywords

Data EngineeringSQLAzure CloudData ModelingHR / People Data Experience

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Hard Skills

Data EngineeringData ArchitectureData ModelingETL/ELTAPIsProduction-Grade Data PipelinesAutomated TestingVersion ControlData Quality ControlsAI/ML Data Enablement

Soft Skills

Proactive Problem SolvingTechnical DocumentationIncident Management

Tools & Technologies

Azure Data FactoryAzure SynapseAzure Blob StorageAzure Data LakeDatabricksWorkday

Industry Keywords

Enterprise Data WarehouseSensitive-Data GovernanceAI-Ready Data PlatformBusiness Intelligence Semantic Models

Tech Stack

Tools & technologies

AzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable people-data models in the enterprise data warehouse
Translate approved business and product requirements into technical data specifications, database designs, 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
Build and maintain the governed people-data foundation for approved AI, machine learning, and advanced analytics use cases
Assess data readiness, reliability, representativeness, documentation, accessibility, and controls for AI use cases
Support the People Data AI Control Tower and monitoring and traceability capabilities
Own and execute the AI-readiness roadmap for the people data lake
Serve as 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

Benefits

Comp & perks

100% remote work
Full-time schedule, Monday to Friday, 9 AM to 5 PM EST
Renewable 9-month contract based on performance
No paid holidays or vacation, tax deductions, or insurance (explicitly excluded)
Contractors may use their own laptop or PC