#136209 - Data Engineer - HR Analytics & AI-Ready Data

SmartRecruiters, Inc.; Bogotá ciudad; A distancia; COP 257.391.000 - 428.985.000; Jornada completa

Descripción de la vacante

Lifted, an Upwork Company, is seeking an experienced Data Engineer to design and maintain secure, scalable data pipelines, warehouse models, and analytics datasets supporting people insights. This contract role emphasizes hands-on data engineering, data modeling, platform reliability, semantic layers, and governed access for BI tools and AI interfaces.

Enterprise experience is strongly preferred. The role requires strong Snowflake, dbt, Python, Airflow, SQL, and REST API skills, with LATAM-based

Formación

• 5+ years of relevant experience in data engineering.
• Hands-on Snowflake data modeling, datamarts and warehouse design.
• dbt experience for data transformations.
• Strong Python, including OOP and data scripting.
• Airflow experience for pipeline orchestration.
• Experience with REST APIs ingestion and external sources.
• Google BigQuery querying and optimization experience.
• Secure handling of sensitive data at scale.
• Real-time or near-real-time data processing from APIs/Sheets.
• Strong SQL with optimized queries.
• Comprehensive technical documentation skills.
• Advanced English communication skills.

Responsabilidades

• Develop and maintain secure, efficient data pipelines and data models.
• Build ETL pipelines using Python, dbt, Terraform, AWS Glue, EMR and S3.
• Integrate data from APIs, cloud systems, Google Sheets and other sources.
• Create Snowflake warehouse models, datamarts and analytics-ready datasets.
• Develop automated data-quality tests and improve data engineering processes.
• Monitor production pipelines to maintain high uptime.
• Design semantic views, ontology layers, and metrics over warehouse models.
• Build governed data experiences using LLM-native query layers.
• Configure secure interfaces between data sources and internal AI tooling.
• Document data models, pipelines, and technical decisions comprehensively.

Conocimientos

Python

SQL

Airflow

REST APIs

Data modeling

Herramientas

Snowflake

dbt

Google BigQuery

Terraform

AWS Glue

Amazon EMR

Amazon S3

Descripción del empleo

• Contract

Job Description

We are seeking an experienced Data Engineer to build and maintain secure, reliable, and scalable data pipelines, warehouse models, and analytical datasets supporting people insights. This role combines hands‑on data engineering with data modeling, platform reliability, semantic‑layer design, and governed access for both business intelligence tools and AI‑enabled interfaces.

Enterprise experience strongly preferred.

Key Responsibilities

• Develop and maintain secure, efficient data pipelines using dbt, PySpark, and Python applications.
• Build extraction, transformation, and loading infrastructure using Python, dbt, Terraform, AWS Glue, Amazon EMR, and Amazon S3.
• Integrate data from APIs, cloud systems, Google Sheets, and other structured sources.
• Create and maintain Snowflake warehouse models, datamarts, and analytics‑ready datasets.
• Develop automated data‑quality tests and improve internal data‑engineering processes.
• Monitor production pipelines and help maintain a 99.5% uptime objective.
• Design semantic views, ontology layers, business‑friendly entities, relationships, and certified metrics over warehouse models.
• Build governed natural‑language data experiences using Snowflake Cortex Analyst, Cortex Search, or equivalent LLM‑native query layers.
• Configure secure Model Context Protocol connections or comparable interfaces between governed data sources and internal AI tooling.
• Document data models, pipelines, business logic, operational procedures, and technical decisions comprehensively.

Qualifications

Must-Have Skills

• 5+ years of relevant experience.
• Hands‑on Snowflake experience, including data modeling, datamarts, and data warehouse design.
• Hands‑on dbt experience for data transformations.
• Strong Python experience, including object‑oriented programming and data scripting.
• Hands‑on Airflow experience for pipeline orchestration.
• Experience integrating REST APIs and ingesting data from external sources.
• Hands‑on Google BigQuery querying and optimization experience.
• Experience securely handling sensitive data at large scale.
• Experience with real‑time or near‑real‑time data processing from APIs, Google Sheets, or comparable sources.
• Strong SQL skills, including highly optimized queries.
• Comprehensive technical documentation skills.
• Advanced English communication skills.

Nice-to-Have Skills

• Experience designing semantic layers or semantic models that provide business‑object abstraction over dbt and warehouse models.
• Experience with Snowflake Cortex Analyst, Cortex Search, or an equivalent LLM‑native query layer.
• Experience with Model Context Protocol or a similar tool‑calling and context‑exposure framework.
• Familiarity with prompt and context engineering for grounding AI agents in certified data sources.

Additional Information

Required Tools & Platforms

• Snowflake.
• dbt.
• Python and PySpark.
• Google BigQuery.
• SQL.
• REST APIs.
• Terraform.
• AWS Glue, Amazon EMR, and Amazon S3.

Location, Time & Engagement

• Candidates must be based in an eligible LATAM location.
• Full US Central Time coverage is required.
• This is a contract engagement at 40 hours per week.
• The anticipated engagement runs through March 31, 2027.
• This is not currently a contract‑to‑hire opportunity.