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Open nowPosted 172 days ago

Data Engineer

Total Performance Consulting6 open roles

Where
State of São Paulo
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Your applicationOpen nowData EngineerTotal Performance Consulting · State of São Paulo

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Total Performance Consulting's own form.

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Total Performance Consulting postings stay open a median of 32 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 172 days ago

Total Performance Consulting median: 32 days open

The posting

Own end-to-end data pipelines and migrations on Azure; ship reliable, production-ready data solutions, collaborate across teams, and ensure data accuracy.

We are seeking a Data Engineer to join our product development team. In this role, you will design, build, and support data migrations, pipelines, and APIs that power web and mobile software applications.

You will work closely with engineers and stakeholders in a collaborative, fast-paced environment. This is a hands-on technical role focused on delivering reliable, production-ready data solutions.

This role focuses on building data solutions that support core business operations and application workflows, not analytics or data science use cases.

What You’ll Do

  • Collaborate with engineers to design and execute data migrations between systems Perform data mapping, transformation, validation, and reconciliation Ensure data accuracy and completeness across environments
  • Build and maintain production data pipelines and APIs
  • Develop scripts and services for data movement and validation
  • Model data and analyze source and target schemas
  • Write complex SQL queries and work with relational and NoSQL databases
  • Identify and resolve data quality issues during migration
  • Support the full lifecycle of delivery: design, development, deployment, testing, monitoring, and ongoing support
  • Contribute to discussions around data quality, test strategy, and automation
  • Integrate and manage data flows across multiple systems and applications
  • Design and implement data models that reflect business logic and support application use cases
  • Design and execute complex data migrations between systems, ensuring data integrity and consistency

How You’ll Succeed

  • Deliver stable, well-tested data pipelines and migration solutions
  • Write clean, maintainable production code
  • Maintain strong attention to detail when handling data transformations
  • Communicate clearly with technical teammates and stakeholders
  • Thrive in a collaborative, service-oriented environment

Who You Are

  • 3+ years of experience in a Data Engineering role.
  • Experience working with transactional or financial data is a plus
  • At least 5 years of experience delivering production software solutions
  • Proficient in Python with experience shipping production pipelines
  • Strong hands-on experience with SQL and NoSQL databases (SQL Server and MongoDB preferred)
  • Experience building scripts or services for data movement and validation
  • Familiar with Azure data tools (such as Azure Data Factory, Azure Data Lake, Microsoft Fabric) or comparable platforms
  • Experience using Git or other distributed version control systems
  • Familiar with automated deployments and continuous delivery practices
  • Solid understanding of REST APIs, JSON, testing, security, and performance best practices
  • Bachelor’s degree in Computer Science or related field, or equivalent experience
  • Strong verbal and written communication skills

Position Details

  • Remote: Fully-remote
  • Location: State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, Belize City, San Salvador, Toronto, Mexico City, Managua, Panama City, Milton

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