Data Engineer - LATAM - INTL

Insight Global
Newton, MA

Job Description

Insight Global is seeking a Data Engineer for one of their top property management customers. The bulk of the data engineer's work would be

building, managing, and optimizing data pipelines and then moving these data pipelines effectively into

production for key data and analytics consumers.

Data engineers also need to guarantee compliance with data governance and data security

requirements while creating, improving and operationalizing these integrated and reusable data

pipelines. This would enable faster data access, integrated data reuse and vastly improved time-to solution.

This role will require both creative and collaborative work with IT and the wider business. It will involve

evangelizing effective data management practices and promoting a better understanding of data and

analytics. The data engineer will also be tasked with working with key business stakeholders, IT experts

and commercial real estate experts to plan and deliver optimal analytics and data science solutions. Pay ranges from 22 - 25/hr based on qualifications and years of experience.

Responsibilities:

  • Serve as a key contributor to identify, evaluate, and execute the development and

implementation of data infrastructure.

  • Perform analysis on large datasets to make and implement recommendations for maximizing

customer experience

  • Assists in the design and implementation of relational databases and structures as needed

  • Works collaboratively with Application development teams throughout the product

development process, to ensure optimal usage of SQL Server for storage and transaction

processing

  • Build data pipelines with Azure Data Factory (ADF) to feed Microsoft SQL Server Business

Intelligence stack including relational databases, data cubes (tabular/multidimensional), SQL

Reporting, Power BI, and other tools as needed.

  • Writes, refines, and optimizes T-SQL code for maximum performance, reliability, and

maintainability

  • Participates in developing cutting-edge storage design structures and data processing flows

  • Creates documentation for both new and existing code

  • Work collaboratively with varied stakeholders and business experts across departments

  • Refine business data requirements for various data and analytics initiatives.

  • Participate in ensuring compliance and governance during data use: It will be the responsibility

of the data engineer to ensure that the data users and consumers use the data provisioned to

them responsibly through data governance and compliance initiatives.

  • Participate in logic and technical design, peer code reviews, unit testing, and documentation of

code developed.

  • Participate in agile development ceremonies, and interacting with both business analysts and

end-users to come up with well-performing and scalable solutions.

Pay ranges from 15-25/hr based on qualifications and years of experience

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

  • 5+ years of experience as a hands on Data Engineer

  • Hands on SQL Coding experience

  • Azure Data Factory experience

  • Snowflake Experience - Power BI experience

Posted 2026-03-31

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