Data Engineer, Python

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Description

Primeforge is currently placing high-performing engineering talent into US enterprise delivery teams. We are building a pipeline of mid-level Data Engineers who can contribute inside client sprint teams from day one. You will work directly with client engineering, analytics, and product teams to build and maintain data pipelines, integrations, APIs, and data products. This is hands-on delivery work. You will take tickets, write production code, participate in code review, troubleshoot issues, and communicate clearly with a distributed team. What you'll do Build and maintain data pipelines using Python and SQL Develop integrations with internal systems and third-party APIs Transform, validate, and model data for analytics and operational use Investigate data-quality issues and improve reliability, observability, and performance Write clean, tested, and maintainable code and contribute through Git-based workflows Work within a US client's sprint cadence: standups, planning, tickets, pull requests, and delivery deadlines Collaborate clearly in English across engineering, data teams, and business stakeholders Requirements These are the baseline requirements for this role. 2-3 years professional software or data engineering experience Strong Python skills, including writing clean, modular, testable code Strong SQL skills beyond basic queries: joins, CTEs, window functions, agreegations, query debugging, and performance awareness Experience building or maintaining ETL/ELT pipelines

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