Senior Data Engineer: Databricks, Spark & Azure

CI&T; United States; Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Meal allowance

Childcare support

Extended paternity leave

Gym partnerships

Life insurance

CI&T University

Discount club

Well-being platform

Language learning

Job summary

CI&T is seeking a Data Engineer to join the team and design, build, and optimize scalable data solutions. You will work with Databricks, Apache Spark, SQL, Python, and Azure to transform large data volumes into reliable, efficient systems.

Responsibilities include designing pipelines, monitoring performance, collaborating with data scientists and stakeholders, and enforcing data quality and governance. Fluent English and Portuguese are preferred for cross-team interactions.

Qualifications

• Bachelor’s degree in CS/IT/Engineering or related field.
• Solid experience designing and developing data pipelines.
• Hands-on with Databricks and Apache Spark.
• Strong SQL skills and experience with large datasets.
• Proficiency in Python or Scala for data engineering.
• Experience with Microsoft Azure and cloud data solutions.
• Excellent English and Portuguese communication skills.

Responsibilities

• Design, develop, and maintain robust data pipelines using Databricks, Spark, SQL, and Python/Scala.
• Build solutions to process and transform large datasets efficiently.
• Monitor and optimize data pipelines for performance, scalability, and reliability.
• Collaborate with data scientists, analysts, engineers, and stakeholders to translate data needs into solutions.
• Implement data quality checks and governance to ensure data accuracy and compliance.
• Troubleshoot data issues and document engineering standards and best practices.

Skills

Data Engineering

SQL

Python

Scala

English

Portuguese

Education

Bachelor’s degree in Computer Science, IT, Engineering, or related field

Tools

Databricks

Apache Spark

SQL

Python

Azure

Job description

CI&T is seeking a Data Engineer to join the team and design, build, and optimize scalable data solutions. You will work with Databricks, Apache Spark, SQL, Python, and Azure to transform large data volumes into reliable, efficient systems.

Responsibilities include designing pipelines, monitoring performance, collaborating with data scientists and stakeholders, and enforcing data quality and governance. Fluent English and Portuguese are preferred for cross-team interactions.