[Job-31490] Mid-level Data Developer, Brazil
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 9d ago
The date the source published, not the day we noticed it (2026-09-22). Last seen at its source 1h ago.
We have tracked this listing since 22 Sep 2026 (9 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $88.5k–136.5k/yr
Middle 50% of 24 listings that do state pay — Engineering · all levels · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 9d ago · last seen 1h ago
The listing
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
As CI&T grows, we seek a talented and motivated Mid-Level Data Engineer to join our team and contribute to building reliable data-driven solutions for our customers. This role involves developing and maintaining data pipelines and infrastructure that support our growing data initiatives.
The Mid-Level Data Developer will work alongside senior engineers and analytics teams to implement data solutions, ensure data quality, and help translate business requirements into technical deliverables. This position requires solid technical foundations in data engineering and cloud technologies, along with a collaborative mindset and eagerness to grow.
Responsibilities:
- Data Pipeline Development: Build and maintain data pipelines and ETL/ELT processes to support analytics and business intelligence needs, under the guidance of senior engineers.
- Data Architecture Support: Assist in implementing data architectures, including data lakes, warehouses, and integration layers aligned with the organization's data strategy.
- Data Quality & Governance: Apply data quality checks and validation processes to ensure data accuracy, consistency, and reliability.
- Integration & API Development: Support the development and maintenance of integrations between data sources, third-party tools, and analytics platforms.
- Collaboration: Work with Data & Analytics Managers, data scientists, and business stakeholders to understand requirements and contribute to technical solutions that enable data-driven decision making.
- Performance Optimization: Assist in monitoring and optimizing data pipeline performance and query efficiency.
- Documentation: Contribute to technical documentation for data architectures, pipelines, and processes.
- Data Security: Apply security best practices and support compliance with data privacy regulations.
- Powered by AI: Leverage AI tools and automation to enhance data engineering workflows and productivity.
Requirements:
- Experience with at least one major Cloud Platform (Azure, AWS, or GCP)
- Familiarity with data platforms such as Databricks or Snowflake
- Good level of English — B2 or above
- Experience or exposure to working with international teams or clients
- Solid experience with data pipeline development and ETL/ELT processes
- Working knowledge of data warehousing solutions (BigQuery, Snowflake, Redshift, or similar)
- Proficiency with SQL and at least one programming language (Python, Scala, or Java)
- Basic understanding of data modeling and database design principles
Nice to Have:
- Experience with modern data stack tools (dbt, Airflow, Fivetran, Stitch, etc.)
- Cloud or data engineering certifications
- Spanish communication skills (reading, writing, and speaking)
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