Data Engineer

Total Performance Consulting; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Total Performance Consulting is seeking a Data Engineer to join our product development team. You will design, build, and support data migrations, pipelines, and APIs that power web and mobile software applications.

This hands-on role focuses on delivering reliable, production-ready data solutions and collaboration with engineers and stakeholders in a fast-paced environment. Remote work is fully supported, with emphasis on data integrity and scalable workflows.

Qualifications

• 3+ years of experience as a Data Engineer or similar role.
• 5+ years delivering production software solutions are preferred.
• Proficient in Python with experience shipping production data pipelines.
• Strong SQL and NoSQL experience (SQL Server and MongoDB preferred).
• Experience with Azure data tools (Data Factory, Data Lake, Fabric) or similar platforms.
• Experience building scripts/services for data movement and validation.
• Familiar with Git and automated deployments/CI/CD.
• Strong communication skills and ability to work with stakeholders.

Responsibilities

• Collaborate with engineers to design and execute data migrations between systems.
• 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 support.
• Contribute to data quality, test strategy, and automation discussions.
• Integrate and manage data flows across multiple systems and applications.
• Design data models that reflect business logic and support application use cases.
• Execute complex data migrations ensuring data integrity and consistency.

Skills

Python

SQL

NoSQL

Azure

Git

REST APIs

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

SQL Server

MongoDB

Azure Data Factory

Azure Data Lake

Microsoft Fabric

Job description

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

• 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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