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
Your partner for AI, consulting, software development, and nearshore staffing.
Job details are sourced from the employer's original posting.
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Total Performance Consulting is a management consulting firm that helps organizations improve their performance.