Data Engineer

Cashea

. Own the health, performance, and scalability of Cloud Composer/Airflow environments across staging and production .

Posted 10/27/2026full-timeRemote • VenezuelaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing Cloud Composer/Airflow environments, designing dbt transformations on BigQuery, and implementing DataOps CI/CD practices. Proficient in data quality assurance, mentoring engineers, and collaborating with cross-functional teams to enhance data platform capabilities.

Highest-signal resume keywords

Apache AirflowDbt TransformationsBigQuery Data ModelingGoogle Cloud Platform (GCP)Python and SQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringIncremental ModelsData Quality AssuranceCI/CD ImplementationDataOps PracticesCost OptimizationPII HandlingDatastream CDCInfrastructure-as-CodeQuery Optimization

Soft Skills

Strong CommunicationMentoringAnalytical ThinkingProblem-SolvingStakeholder Management

Tools & Technologies

GitHub ActionsTerragruntOpenTofuDataplexAstronomer-CosmosPub/SubCloud Storage

Industry Keywords

FintechPaymentsCreditData GovernanceData Lineage

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudGoogle Cloud PlatformPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Own the health, performance, and scalability of Cloud Composer/Airflow environments across staging and production
Design and extend dbt transformations on BigQuery across bronze, silver, and gold layers
Own Datastream CDC pipelines from PostgreSQL to BigQuery, including schemas, backfills, and replication
Build and improve DataOps CI/CD for DAGs and dbt using GitHub Actions and Workload Identity Federation
Implement automated testing, deployment smoke tests, and safe promotion across environments
Drive data quality, observability, freshness checks, lineage, dbt-artifact capture, and alerting
Define and champion standards for model design, incrementality, idempotency, and safe changes
Mentor engineers through reviews, pairing, and documentation
Partner with platform, product, and analytics teams to make the data platform self-serve
Work with OpenTofu and Terragrunt Infrastructure-as-Code

Requirements

What you’ll need

Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
5+ years in data engineering or a closely related role
Strong hands-on experience with Apache Airflow, ideally Cloud Composer
Strong hands-on experience with dbt, including incremental models, testing, macros, and large model graphs
Solid hands-on experience with BigQuery, including data modeling, partitioning, clustering, query optimization, and cost control
Solid experience operating data services on Google Cloud Platform (GCP)
Proficiency in Python and strong SQL
Comfort with Git-based workflows and CI/CD, including GitHub Actions or similar
Strong communication and stakeholder skills, with ability to mentor others
Excellent problem-solving and analytical thinking
Experience with Datastream or other CDC tooling, including backfills and replication troubleshooting
Familiarity with Infrastructure-as-Code, such as Terraform or OpenTofu, ideally Terragrunt
Experience with Dataplex or other data quality, governance, and lineage tooling
Experience with PII handling in a regulated context
Familiarity with astronomer-cosmos for running dbt within Airflow
Knowledge of GCP data and messaging services such as Pub/Sub and Cloud Storage
Track record of cost and performance optimization in a data warehouse, including FinOps practices
Experience in fintech, payments, or credit
Spanish and English proficiency

Benefits

Comp & perks

Work culture based on trust and purpose
Creativity and curiosity valued
Space for ideas and feedback
Inclusive culture where everyone belongs
Transparency-focused work environment
Opportunity to work on meaningful financial inclusion initiatives