Data Engineer (Databricks/PySpark) - Azure Data Lake

Ciandt; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Meal allowance

Childcare assistance

Extended paternity leave

Profit sharing

Life insurance

Wellbeing platform

Gym partnerships

Learning programs

Inclusive hiring

Job summary

CI&T in the United States seeks a mid-level data engineer to join a global team building scalable data platforms for enterprise clients. You will design, build, and maintain pipelines on Databricks and PySpark, atop Data Lake architectures in Azure, enabling ingestion, transformation, and integration for downstream analytics and AI use cases.

You will collaborate with international stakeholders in English, work with Python, Azure services, and Kafka, and handle data from MySQL, SQL Server, and

Qualifications

• Hands-on experience with Databricks and PySpark in data pipelines.
• Solid understanding of Data Lake concepts and modern processing patterns.
• Proficiency in Python and the Azure cloud platform.
• Experience with Kafka and streaming/integration concepts.
• Experience with MySQL, SQL Server, or Couchbase.

Responsibilities

• Design, develop, and maintain data pipelines with Databricks and PySpark.
• Build ingestion, transformation, and processing workflows for Data Lake environments.
• Integrate data from relational and NoSQL sources.
• Work with Python, Azure services, and Kafka for streaming and integration.
• Collaborate with international teams in English.

Skills

Data engineering

English communication

Tools

Databricks

PySpark

Python

Azure

Kafka

MySQL

SQL Server

Couchbase

Job description

CI&T in the United States seeks a mid-level data engineer to join a global team building scalable data platforms for enterprise clients. You will design, build, and maintain pipelines on Databricks and PySpark, atop Data Lake architectures in Azure, enabling ingestion, transformation, and integration for downstream analytics and AI use cases.

You will collaborate with international stakeholders in English, work with Python, Azure services, and Kafka, and handle data from MySQL, SQL Server, and