Senior Data Engineer
C
CodeRoadSoftware Development
Latin America | 100% RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Advanced English
- Experience
- 5+ years of hands-on data engineering experience, including 2–3+ years operating at a staff or principal level with org-wide architectural scope.
- Required Skills
- PythonSQLApache AirflowFlaskFastAPIData modelingBigQuerydbt
Requirements
- 5+ years of hands-on data engineering experience, including 2–3+ years operating at a staff or principal level with org-wide architectural scope.
- Deep expertise in BigQuery (or equivalent cloud data warehouse) and SQL-based transformation tools like dbt or Dataform.
- Proven track record building and maintaining production services, microservices, or APIs using Python (FastAPI, Flask, or equivalent).
- Hands-on experience managing complex workflows at scale using Airflow, Cloud Composer, or similar orchestrators.
- Demonstrated success designing normalized models from complex sources, paired with robust testing, monitoring, and incident response practices.
- Advanced English (written and spoken) proficiency with the ability to explain technical tradeoffs to non-technical stakeholders.
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
- Strong ownership mindset, strategic thinking, and top-tier analytical skills.
Responsibilities
- Design and implement standardized, normalized data models capable of integrating heterogeneous and complex source systems.
- Lead org-wide architectural decisions for data warehousing, orchestration, and pipeline reliability across the data engineering ecosystem.
- Build and maintain production-grade data services and internal tooling utilizing Python and modern frameworks like FastAPI or Flask.
- Optimize automated data transformations and workflow orchestration using tools like dbt, Dataform, and Apache Airflow or Google Cloud Composer.
- Establish comprehensive data quality frameworks, including automated testing, anomaly detection, monitoring, and structured incident response processes.
- Collaborate with cross-functional partners in Finance and Operations, translating complex technical tradeoffs into clear business strategies.
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