Senior Data Engineer
New
Remote (Brazil)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 5 years
- Required Skills
- AWSPythonSQLGCPAirflowSparkBigQuerydbt
Requirements
- Strong experience operating production data systems
- Experience with orchestration tools like Dagster, Airflow, or Prefect
- Experience designing robust data models and transformation layers
- Strong hands-on experience with Python for data engineering (pipelines, tooling, and production systems)
- Ability to think in terms of systems, reliability, and long-term maintainability
- Ability to simplify complexity instead of adding unnecessary abstraction
- At least 5 years of experience building and operating data systems in production environments
- Strong Python and SQL skills
- Experience in data pipelines, orchestration, and warehouse modeling
- Experience managing data quality, observability, failure modes, and long-running production workflows
- Strong communication skills and ability to work across engineering, product, and business teams
- Experience with GCP, dbt, BigQuery, or event-driven architectures is a strong plus
Responsibilities
- Design and operate orchestrated workflows, ensuring clear execution semantics, observability, and resilience
- Design and maintain scalable transformation layers using dbt, BigQuery, Spark, Ray or equivalent tools, enabling reliable downstream consumption
- Define and enforce standards around data quality, contracts, schema validation, lineage, and metadata
- Work with incomplete, inconsistent, and evolving data sources, handling schema drift, edge cases, and operational failures with strong engineering judgment
- Operate within cloud-native environments (GCP/AWS), working with storage, messaging (e.g., Pub/Sub), and infrastructure as code
- Continuously improve systems by increasing observability, reducing operational risk, and simplifying architecture
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