Data Engineer

In All Media

. Develop, optimize, and maintain secure HR data pipelines using dbt, PySpark, Python, and Apache Airflow .

Posted 9/23/2026full-timeRemote • Brazil, Argentina, Colombia, PeruMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in developing and maintaining secure HR data pipelines using dbt, PySpark, and Python, with a strong focus on data modeling in Snowflake and Google BigQuery. Proficient in ensuring data quality and security while supporting analytics for enterprise leadership.

Highest-signal resume keywords

Data Engineering ExperienceSnowflake ExpertisePython ScriptingREST API IntegrationApache Airflow Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentSQL WritingData ModelingData Quality FrameworkSecure Data Handling

Soft Skills

Technical DocumentationAgile Team CollaborationAdvanced English Communication

Tools & Technologies

DbtPySparkApache AirflowTerraformAWS GlueAWS EMRAWS S3Google BigQuerySnowflake CortexCortex Analyst

Industry Keywords

HR Data PipelinesReal-Time Data IngestionMCP ConnectionsSensitive Data HandlingSemantic Modeling

Tech Stack

Tools & technologies

AirflowApacheAWSBigQueryPySparkPythonSQLTerraform

About the role

Key responsibilities & impact

Develop, optimize, and maintain secure HR data pipelines using dbt, PySpark, Python, and Apache Airflow
Ingest HR data from REST APIs, real-time streams, Google Sheets, web APIs, and external platforms
Provision, configure, and maintain scalable extraction, transformation, and loading infrastructure using Terraform, AWS Glue, AWS EMR, and AWS S3
Design and maintain data models, data marts, and warehouse structures in Snowflake and Google BigQuery
Build semantic views and ontology layers mapping CORE → SEMANTIC → METRICS on dbt models
Configure and deploy generative AI query agents using Snowflake Cortex Analyst and Cortex Search
Maintain MCP connections between Snowflake and internal AI tools
Monitor pipelines to enforce 99.5% uptime
Build automated tests within a Data Quality Framework
Ensure secure handling of PII and produce comprehensive technical documentation
Support workforce analytics for international enterprise Centers of Excellence and executive leadership

Requirements

What you’ll need

5+ years of dedicated, hands-on data engineering experience
Deep expertise in Snowflake, Google BigQuery, and dbt
Strong object-oriented Python scripting capabilities
Hands-on experience with REST API integrations and real-time data ingestion
Proficiency in Apache Airflow
Advanced, highly optimized SQL writing skills
Experience securely handling large-scale sensitive data (PII)
Comprehensive technical documentation skills
Experience working in Agile teams and remote, distributed environments
Advanced/Fluent English communication skills
Minimum 4 core working hours of overlap with US Eastern Standard Time
Nice-to-have: semantic modeling, Snowflake Cortex, Cortex Analyst, Cortex Search, MCP, equivalent LLM query frameworks, prompt engineering, and context engineering

Benefits

Comp & perks

Remote work from LATAM
Full-time vendor contract
Time zone flexibility with EST overlap
Distributed-team work environment
Long-term technical expertise and product innovation projects