Data Engineer, Product
F
FuturHealthHealth Technology
LATAMFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3–5+ years
- Required Skills
- PythonSQLGitMicrosoft Power BISnowflakeTableauCI/CDBigQuerydbtLooker
Requirements
- 3–5+ years as an analytics engineer, data engineer, or similar role.
- Strong knowledge of SQL, Python, dbt, and modern data modeling best practices.
- Comfortable with large-scale data systems (BigQuery, Snowflake, etc.).
- Strong familiarity with CI/CD, Git-based workflows, and automated testing.
- Proficiency in data analysis and BI tools (Looker, Tableau, Power BI).
- Adaptable and fast-learning, with a strong bias for ownership.
- Experience with statistics and experiment analysis (A/B testing, segmentation, metric definition).
- Experience leveraging AI to accelerate coding lifecycle and enabling AI-driven analytics.
- Clear communication and real stakeholder instincts.
Responsibilities
- Design, build, and maintain reliable ETL/ELT pipelines.
- Own the dbt models and datasets that serve as the source of truth for key business metrics.
- Govern the semantic layer so metric definitions stay consistent and documented across reporting surfaces.
- Implement testing and observability for analytics pipelines.
- Partner with analysts and stakeholders to gather requirements and turn them into clean, well-scoped solutions.
- Run hands-on analysis and deep dives: KPIs, release performance, and A/B tests.
- Take end-to-end ownership of problems from scoping through production.
- Leverage AI tools and agentic workflows to write code and debug faster, while helping build natural-language querying tools for stakeholders.
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