Data Engineer, Python

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, data integrations, or backend services Solid understanding of data quality: validation, reconciliation, error handling, and repeatable processing Demonstrates sound judgment using AI-assisted development tools: able to validate outputs, protect sensitive information, and retain ownership of delivered work Strong written and spoken English Able to work independently, ask good questions, and communicate blockers early.

Valuable experience You do not need every item below.

Strong candidates will have depth insome of these areas and the ability to learn the rest Databricks, Spark, Delta Lake, or similar data-platform tools dbt, Airflow, Prefect, or other orchestration tools Cloud data services in Azure, AWS, or GCP Data warehouse and lakehouse environments Fast API or other Python API frameworks Docker and CI/CD workflows Data modeling for analytics oroperational reporting AI-enabled data applications, including RAG, Azure AI Search, LangChain, or LangGraph What success looks like Within your first months on a client team, you can: Pick up a ticket and move it to completion with appropriate guidance Write Python and SQL that another engineer can review and maintain Trace a data issue through a pipeline and explain what broke Communicate progress, risks, and questions clearly Earn trust through consistency, quality, and follow through How we work with AI AI is part of modern software delivery at Primeforge.

We provide engineers access to tools such as Claude and GitHub Copilot, with sufficient usage capacity to support real day-to-day work. We use AI to move faster: exploring unfamiliar codebases, drafting tests, accelerating documentation, debugging, generating implementation options, and reducing repetitive work. We also make room for engineers to experiment with emerging practices in agentic development and share what works with the wider team. AI does not replace engineering judgment.

You are still responsible for understanding the systems you work in, validating output, protecting client information, writing maintainable code, and standing behind what ships. Strong engineers use AI to improve their leverage, not to avoid thinking.

What we offer Competitive salary and a comprehensive benefits package, including savings account contributions, daily catered lunches, commuting allowance, paid time off, and more. Real delivery experience with global enterprise clients Structured mentorship and a pathway to deepen your data-engineering specialization An opportunity to be part of a mission-driven company transforming the tech landscape in West Africa. A high-accountability environment where strong work creates real career momentum If you’re passionate about software and data engineering and want to grow your career with Primeforge, we’d love to hear from you!