Data Engineer

Company Overview

Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.

Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed.

Position Description

We are looking for a talented and experienced Data Engineer to join our team in Latin America. In this role, you will design, build, and optimize scalable data pipelines and modern data platforms to support our customers' analytics and reporting needs. You will work autonomously while collaborating with cross-functional teams on multiple high-impact initiatives.

This position requires working during U.S. Central Time (CST) business hours. You will also participate in a shared on-call rotation outside of business hours and respond to high-priority incidents when required.

Responsibilities Include But Are Not Limited To

Design, build, automate, and maintain scalable, reliable, and efficient data pipelinesDevelop and maintain dbt models, data transformations, and ETL/ELT workflowsDesign and implement dimensional data models using Kimball methodology, star schema, and modern data warehousing best practicesDevelop and maintain CI/CD pipelines for data engineering workflowsOptimize SQL queries and data warehouse performance to ensure scalability and efficiencyMonitor data pipeline health, troubleshoot failures, and perform root cause analysis for production incidentsImplement automated testing and validation to ensure data quality and reliabilityFollow data security, governance, and compliance best practices, ensuring adherence to Master Data Management (MDM) standardsFollow established controls to ensure the accuracy, consistency, and quality of data across upstream and downstream systemsParticipate in code reviews and promote coding standards and engineering best practicesCollaborate with analysts, software engineers, and business stakeholders to deliver scalable data solutionsCommunicate technical progress, risks, issues, and solutions effectively with technical and non-technical stakeholders

Workplace: Remote position based in Latin America but requiring Central Timezone working hours and rotational on-call to high-priority incidents outside regular business hours

Must Have Skills

3+ years of experience designing and developing modern ETL/ELT pipelines using Azure Data Factory2+ years of hands-on experience developing data transformations using dbt5+ years of experience building scalable data engineering solutions supporting analytics and reportingStrong experience with relational databases such as Snowflake, SQL Server or PostgreSQLExperience with scripting using PowerShell and/or PythonStrong understanding of relational database design, SQL optimization, indexing, and database best practicesExperience using Git for version control and Jira (or similar project management tools)Strong verbal and written communication skillsAbility to work independently and collaboratively in a fast-paced Agile environment

Good To Have Skills

Experience with Apache Airflow, including DAG development and monitoringExperience working in SaaS or multi-tenant environmentsExperience supporting BI platforms such as Power BI, Tableau, or LookerExperience with Azure cloud services beyond Azure Data Factory

Preferred Skills

Experience with data processing frameworks such as Apache Spark, Databricks, or KafkaFamiliarity with cloud-native data solutions on Microsoft AzureExperience with distributed data processing systems

Professional Skills

Strong written, verbal, and presentation communication skillsAbility to work effectively both independently and as part of a collaborative teamMaintains composure and professionalism in a fast-paced, production support environmentSelf-motivated and able to manage priorities with minimal supervisionDemonstrates flexibility, adaptability, and a proactive approach to solving complex problemsConsistently delivers high-quality work with strong attention to detail

Bridgenext is an Equal Opportunity Employer