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Data Engineer | Staffing

Role overview

Qualifications

  • Bachelor's in Computer Science, Data Engineering, IT, or equivalent
  • 3-5 years in data engineering
  • Strong T-SQL; hands-on experience with Microsoft Fabric, Power BI, and data warehouse concepts
  • Python/PySpark experience

Responsibilities

  • Design, build, and optimize ETL pipelines using Microsoft Fabric and Medallion Architecture
  • Identify and integrate new data sources; assemble complex datasets aligned to business needs
  • Improve infrastructure scalability, data delivery, and process automation
  • Monitor data quality, troubleshoot issues, and enforce governance and security standards

About the company

GoGrow logo

GoGrow

Trusted partner in scaling US tech companies by providing unparalleled Latin American engineering talent for staff augmentation, fueling innovation and success across web and mobile development projects.

Company details

Company size11 - 50

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Job description

Data Engineer - Long-Term Contract

Build and maintain data pipelines and infrastructure that power data-driven decisions across the firm. You'll work within the Data Science team, collaborating with analysts, scientists, and stakeholders to ensure high-quality, accessible data.

Responsibilities

  • Design, build, and optimize ETL pipelines using Microsoft Fabric and Medallion Architecture

  • Identify and integrate new data sources; assemble complex datasets aligned to business needs

  • Improve infrastructure scalability, data delivery, and process automation

  • Monitor data quality, troubleshoot issues, and enforce governance and security standards

  • Support business intelligence tools and data models; collaborate with Executive Leadership, App Dev, Marketing, and Finance

  • Maintain documentation; participate in monthly on-call rotation

Requirements

  • Bachelor's in Computer Science, Data Engineering, IT, or equivalent

  • 3–5 years in data engineering

  • Strong T-SQL; hands-on experience with Microsoft Fabric, Power BI, and data warehouse concepts

  • Python/PySpark experience

  • Ability to manage multiple projects and analyze large datasets

Nice to Have: Microsoft Fabric certification, R/PowerShell, NoSQL/APIs, ML/data mining experience

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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