Remote Data Engineer - Azure Data Factory & NetSuite

BairesDev

Santiago de Querétaro

Remote

MXN 1,676,000 - 2,421,000

Full time

3 days ago
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Benefits offered by this job

Remote work from anywhere
Competitive USD compensation
Home office setup provided
Flexible hours
Parental leave and holidays

Job summary

BairesDev offers 100% remote Data Engineer roles focused on Azure Data Factory and NetSuite integration. You will bring financial and ERP data into a reliable analytics foundation so finance and operations can trust their numbers.

Ideal candidates have 4+ years in data engineering, solid SQL, and experience with data warehousing. This remote position provides flexible hours and competitive compensation in USD or local currency.

Qualifications

  • 4+ years of experience in data engineering.
  • Proven expertise building and orchestrating data pipelines with Azure Data Factory.
  • Hands-on experience extracting and modeling data from NetSuite, including saved searches and APIs.
  • Solid knowledge of SQL, data warehousing, and financial reporting concepts.
  • Advanced proficiency in English.

Responsibilities

  • Build pipelines that extract business and financial data from enterprise applications.
  • Transform transactional records into clean, reconciled reporting models.
  • Schedule and monitor recurring loads with robust error handling.
  • Validate figures against source systems to keep reporting accurate.
  • Protect sensitive financial data through access controls and auditing.
  • Work with finance and analytics stakeholders to define metrics and datasets.

Skills

Data engineering
SQL
Financial reporting
Data modeling
English proficiency

Tools

Azure Data Factory
NetSuite
SQL

Job description

BairesDev offers 100% remote Data Engineer roles focused on Azure Data Factory and NetSuite integration. You will bring financial and ERP data into a reliable analytics foundation so finance and operations can trust their numbers.

Ideal candidates have 4+ years in data engineering, solid SQL, and experience with data warehousing. This remote position provides flexible hours and competitive compensation in USD or local currency.

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