Data Engineer, Mid-Level

Rox Partner

. Develop and maintain end-to-end data pipelines covering ingestion, processing, transformation, modeling, and data delivery .

Posted 11/6/2026contractRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining end-to-end data pipelines, utilizing advanced SQL and BigQuery for data transformation and modeling. Proficient in Python for automation, with strong knowledge of Google Cloud Platform services and data quality practices.

Highest-signal resume keywords

Data EngineeringAdvanced SQLBigQueryPython AutomationApache Airflow

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData TransformationData ModelingAutomated TestingData Quality PracticesVersion Control with GitData IngestionProcess AutomationCloud ComposerRow-Level Security

Soft Skills

Strong CommunicationCollaboration Skills

Tools & Technologies

Google Cloud PlatformCloud StorageCloud FunctionsIAMDataformDbtApache Superset

Industry Keywords

Operational ProceduresRunbooksAccess ManagementSingle Sign-OnMulti-Factor Authentication

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Develop and maintain end-to-end data pipelines covering ingestion, processing, transformation, modeling, and data delivery
Build queries and transformations using advanced SQL and BigQuery
Develop and maintain data models using Dataform or dbt
Create ingestion and automation routines using Python, including the implementation of automated tests
Develop and monitor processing and orchestration workflows using Apache Airflow, preferably Cloud Composer
Integrate with and use Google Cloud Platform services, including Cloud Storage, Cloud Functions, and IAM
Implement data quality, validation, testing, and process monitoring practices
Work with code version control using Git and Pull Request workflows
Support the organization and delivery of data to consumption layers and analytics tools
Provide support, when necessary, for the solution's initial configuration, including user and access management
Document operational procedures and keep runbooks up to date
Collaborate with business teams to understand their needs and support the evolution of data solutions

Requirements

What you’ll need

Experience in Data Engineering, working end to end from ingestion through the consumption layer
Advanced SQL skills and experience with BigQuery
Experience with data transformation and modeling using Dataform or dbt
Knowledge of Python applied to data ingestion and process automation
Experience developing automated tests
Knowledge of Apache Airflow, preferably using Cloud Composer
Experience with Google Cloud Platform services, especially Cloud Storage, Cloud Functions, and IAM
Knowledge of data quality practices and pipeline validation
Experience with code version control using Git and Pull Request workflows
Preferred: experience with Apache Superset
Preferred: knowledge of or experience implementing Row-Level Security (RLS)
Preferred: experience with access control and data segregation by client
Preferred: knowledge of user and access management, including SSO and MFA
Discipline in following operational procedures and keeping runbooks up to date
Strong communication and collaboration skills with business teams
Interest and initiative in identifying and automating operational activities

Benefits

Comp & perks

Contractor engagement (PJ arrangement)