Data Platform Engineer (Python, GCP, Airflow & Terraform) Level III - Costa Rica Only

This opportunity is exclusively open to candidates currently residing in Costa Rica and legally authorized to work there. Applications from outside Costa Rica will not be considered. CONSULTFIZ LATAM, a subsidiary of Confiz LLC, is seeking a skilled Data Platform Engineer with expertise in Python, Google Cloud Platform (GCP), Airflow, and Terraform. The role involves designing, developing, and maintaining scalable data orchestration platforms and self-service solutions for a Fortune 500 client. The ideal candidate will have hands-on experience with ETL/ELT pipelines, cloud data infrastructure, data orchestration, streaming technologies, and Infrastructure as Code (IaC).

Key Responsibilities:
- Design, evolve, and maintain scalable data orchestration platforms that simplify ETL/ELT workflows and abstract complex big data technologies.
- Build and support self-service platform features for engineers, data scientists, and analysts.
- Develop and maintain integrations with various data sources and destinations such as Kafka, Google Cloud Storage (GCS), BigQuery, Postgres, and Amazon S3, supporting both batch and real-time processing.
- Provision and manage cloud data infrastructure using Terraform with automated, version-controlled IaC pipelines.
- Build, maintain, and orchestrate reliable data pipelines using Apache Airflow and Kubernetes.
- Develop platform tooling, automation, services, and command-line interfaces (CLIs) primarily using Python.
- Implement metadata management, data cataloging, governance, and data lineage capabilities to enhance enterprise data discoverability and trustworthiness.
- Design scalable, resilient solutions capable of handling large volumes, high velocity, and diverse data formats.
- Apply modern CI/CD and Git-based workflows for platform and data pipeline delivery.
- Evaluate and integrate emerging big data, ETL, and AI-assisted development technologies as appropriate.
- Create and maintain comprehensive technical and user documentation for platform capabilities and workflows.

Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
- 5 to 7 years of professional experience in Data Engineering, Data Platform Engineering, or related software engineering roles.
- Strong programming skills in Python, including automation, service development, and CLI tools.
- Proficiency in SQL, especially within cloud environments like BigQuery.
- Hands-on experience designing and maintaining ETL/ELT pipelines with a solid understanding of modern data pipeline architectures.
- Experience with data transformation frameworks such as dbt.
- Extensive experience with Google Cloud Platform data technologies, particularly BigQuery, GCS, and Dataproc Serverless.
- Proficiency in Infrastructure as Code, especially Terraform, for provisioning and managing cloud data infrastructure.
- Experience building and orchestrating data pipelines using Apache Airflow.
- Familiarity with Kubernetes in data platform or cloud environments.
- Experience with streaming and event-driven data technologies such as Kafka or Confluent Cloud.
- Working knowledge of data governance, metadata management, data cataloging, and data lineage concepts.
- Familiarity with CI/CD and Git-based workflows, including tools like GitHub Actions.
- Experience using AI-assisted developer tools, including large language models (LLMs), Model Context Protocol (MCP), or copilot-style productivity tools.
- Excellent problem-solving and communication skills, with the ability to collaborate effectively across teams.

Preferred Qualifications and Benefits:
- Experience with AWS data and cloud technologies.
- Hands-on experience with metadata, data cataloging, or data lineage platforms such as DataHub, Collibra, or Amundsen.
- Familiarity with BI or semantic-layer technologies like Looker or LookML.
- Experience with data quality, observability, service level objectives (SLOs), error budgets, and production/on-call operations for data platforms.
- Knowledge of distributed data processing frameworks such as Apache Spark.
- Experience with Java and/or Scala is a plus.

Confiz boasts a global team working on innovative enterprise projects for Fortune 100 retail and CPG companies, fast-growing fintech firms, and Silicon Valley startups. The company is distinguished by its strong focus on processes and culture, holding certifications including ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), and ISO 14001:2015 (EMS). Confiz fosters a vibrant learning culture through collaboration and a fun workplace environment. Employees have the opportunity to work with cutting-edge technologies while contributing to both company success and personal growth.