Senior Data Engineer: Build Scalable AI Pipelines

CI&T; United States; Remote; USD 110.000 - 150.000; Vollzeit

Benefits dieser Stelle

Premium Healthcare

Meal voucher

Maternity and Parental leaves

Mobile services subsidy

Sick pay-Life insurance

CI&T University

Colombian Holidays

Paid Vacations

Zusammenfassung

CI&T is seeking an experienced Data Engineer to design, build, and maintain scalable data infrastructure and pipelines for enterprise clients. You will collaborate with analytics teams to translate business requirements into robust data solutions.

The role emphasizes data quality, governance, cloud platforms (Azure/AWS/GCP), and modern data stack technologies, with opportunities to leverage AI tools within data workflows.

Qualifikationen

• Experience with major Cloud Platform providers (Azure, AWS, or GCP).
• Experience with data platforms Databricks or Snowflake.
• Good level of English B2 or above.
• Experience working with international clients.
• Strong experience with data pipeline development and ETL/ELT processes.
• Proficiency with data warehousing solutions (BigQuery, Snowflake, Redshift, or similar).
• Experience with SQL and at least one programming language (Python, Scala, or Java).
• Understanding of data modeling and database design principles.

Aufgaben

• Data Pipeline Development: Build, optimize, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence needs.
• Data Architecture Implementation: implement data architectures, including data lakes, warehouses, and integration layers that support the organization’s data strategy.
• Data Quality & Governance: Implement data quality checks, validation processes, and monitoring systems to ensure data accuracy, consistency, and reliability.
• Integration & API Development: Develop and maintain integrations between various data sources, third-party tools, and analytics platforms.
• Collaboration: Work closely with Data & Analytics Managers, data scientists, and business stakeholders to understand requirements and deliver technical solutions that enable data-driven decision making.
• Performance Optimization: Monitor and optimize data pipeline performance, query efficiency, and storage costs to ensure scalable and cost-effective solutions.
• Documentation: Create and maintain comprehensive technical documentation for data architectures, pipelines, and processes.
• Data Security: Implement security best practices and ensure compliance with data privacy regulations across all data systems.
• Powered by AI: Leverage AI tools and automation to enhance data engineering workflows and productivity.

Kenntnisse

Data pipeline development

ETL/ELT

SQL

Python

Scala

Java

Azure

AWS

GCP

BigQuery

Snowflake

Redshift

English (B2)

Tools

Databricks

Snowflake

dbt

Airflow

Fivetran

Stitch

Jobbeschreibung

CI&T is seeking an experienced Data Engineer to design, build, and maintain scalable data infrastructure and pipelines for enterprise clients. You will collaborate with analytics teams to translate business requirements into robust data solutions.

The role emphasizes data quality, governance, cloud platforms (Azure/AWS/GCP), and modern data stack technologies, with opportunities to leverage AI tools within data workflows.