Senior Data Engineer - Remote | Azure Databricks & Earnix

Encora; Ciudad de Mendoza; Hybrid; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Flexible schedule

Remote & office options

Career growth

Job summary

AgileEngine is seeking a Senior/Lead Data Engineer to build and maintain HR data pipelines in Snowflake, DBT, Python, and Airflow. The role focuses on semantic layers that enable BI tools and AI agents to consume HR data securely.

The candidate will design data models, implement CI/CD for data, and integrate with REST APIs and Google BigQuery. Will work on real-time data processing and MCP/Snowflake Cortex integrations in a flexible, hybrid setup.

Qualifications

• 4+ years of experience in data engineering.
• Hands-on Snowflake data modeling, datamarts, and warehouse design.
• DBT for data transformations.
• Python programming and data scripting (OO).
• Airflow for pipeline orchestration.
• REST API integration and data ingestion.
• BigQuery querying and optimization.
• Strong SQL with highly optimized queries.
• Secure handling of large-scale and sensitive data.
• Real-time data processing from APIs or spreadsheets.

Responsibilities

• Build and maintain secure, efficient data pipelines for HR data sources.
• Develop semantic views and ontology on top of dbt models (CORE → SEMANTIC → METRICS).
• Design semantic layers enabling BI tools and AI agents to consume data.
• Develop and deploy AI agents (Snowflake Cortex) for HR use cases.
• Configure MCP connections between Snowflake and internal tooling.
• Monitor pipelines, maintain 99.5% uptime, and implement quality tests.
• Collaborate with partner teams and drive internal data-model improvements.

Skills

Snowflake

DBT

Python

Airflow

REST API

BigQuery

SQL

PySpark

Tools

Terraform

AWS

Glue

EMR

S3

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

We are looking for a Senior/Lead Data Engineer to build and maintain the pipelines and data models behind a centralized HR data warehouse. Working in Snowflake, DBT, Python, and Airflow, this person designs semantic layers that make HR data consumable by both BI tools and AI agents. Experience with Snowflake Cortex or MCP-based tooling for agentic querying is a strong plus.

• 4+ years of experience.
• Snowflake, including data modeling, datamarts, and data warehouse design.
• DBT for data transformations.
• Python, including object-oriented programming and data scripting.
• Airflow for pipeline orchestration.
• REST API integration and data ingestion.
• Google BigQuery querying and optimization.
• Secure handling of large-scale and sensitive data.
• Real-time data processing (e.g., from Google Sheets or APIs).
• Strong SQL, including highly optimized queries.

• Semantic layer / semantic modeling design, providing business-object abstraction over dbt and warehouse models.
• Snowflake Cortex (Cortex Analyst, Cortex Search) or equivalent LLM-native query layers.
• MCP (Model Context Protocol) or similar tool-calling / context-exposure frameworks.
• Familiarity with prompt and context engineering for grounding LLM agents in certified data sources.

• Develop and maintain secure, efficient data pipelines using DBT, PySpark, and Python applications within a supported cloud environment for HR data sources.
• Build the infrastructure and tooling required for optimal extraction, transformation, and loading of data from a wide variety of sources using Python, DBT, Terraform, and AWS technologies such as Glue, EMR, and S3.
• Identify and implement internal process improvements, develop tests within the Data Quality Framework, monitor pipelines to maintain 99.5% uptime, and create and maintain the data models used by partner teams.
• Design and build semantic views and ontology layers on top of existing dbt models (CORE → SEMANTIC → METRICS) so HR data is consumable by both BI tools and AI agents/LLMs, defining business-friendly entities, relationships, and metrics that abstract away raw warehouse structure.
• Develop and deploy AI agents (e.g., via Snowflake Cortex Analyst/Cortex Search) for HR COE use cases — including PE, iCIMS, LMS, and Sales/CS Worker agents — enabling natural-language querying over certified HRDM data.
• Configure and maintain MCP (Model Context Protocol) connections between Snowflake and internal AI tooling to securely expose HR data to conversational and agentic interfaces.

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.