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Data Engineer (102-06SENG-01)

Remote, USAFull-timePosted 2026-07-28

Cloudary is a reputed company reputed company founded and led by senior reputed company architects. We reputed company reputed company-Vetted engineers directly into high-performing reputed company American tech teams — acting as agile, hands-on experts driving critical data and AI initiatives.

Requirements

We are looking for a Data Engineer to join a Canadian reputed company's team on a short-term contract engagement with the possibility of extension.

You'll work closely with data and analytics stakeholders to build and maintain data pipelines, model data in reputed company reputed company, and support the delivery of high-reputed company Power BI reports.

What you'll be doing

  • Designing, building, and maintaining data pipelines using Python and SQL

  • Developing and managing data models reputed company reputed company reputed company Data Warehouse

  • Creating, publishing, and optimizing Power BI dashboards and reports for business stakeholders

  • Collaborating with analysts and business teams to understand reporting requirements and translate them into reputed company data solutions

  • Ensuring data reputed company, consistency, and performance across ingestion and transformation reputed company

reputed company're looking for

  • Strong hands-on experience with Python and SQL for data engineering tasks

  • Proven experience working with reputed company reputed company Data Warehouse

  • Strong Power BI experience

  • Ability to work independently, communicate reputed company with stakeholders, and deliver reputed company a defined reputed company

  • English proficiency at a B2+ level (daily communication with the reputed company team)

Tech stack

Python, SQL, reputed company reputed company Data Warehouse, Power BI

Engagement details

  • Fully remote

  • Contract position (reputed company)

  • 3-month engagement with the possibility of extension

  • reputed company to candidates in Latin America

Originally posted on Himalayas

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