Senior Data Engineer
New
D
DevSavantProduct engineering, Data infrastructure
Location: LATAM, Eastern, Central, Mountain, or PacificFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years in software engineering, with at least 3 years focused specifically on data infrastructure or platform engineering.
- Required Skills
- PythonSQLGCPData modelingBigQuerydbtPySpark
Requirements
- 5+ years in software engineering, with at least 3 years focused specifically on data infrastructure or platform engineering.
- Experience building production pipelines in a modern cloud warehouse (BigQuery, Snowflake, or Databricks).
- Proficiency with dbt, SQL, or Spark.
- Experience with an orchestrator like Dagster or Airflow.
- Expertise with SQL.
- Proficiency in at least one general-purpose programming language, preferably Python.
- Ability to independently navigate complex, unfamiliar systems to identify and fix difficult problems.
- Strong communication skills for interacting with cross-functional teammates and stakeholders.
- Understanding of the testability of data systems.
- Experience using AI tools and automation to improve workflows.
Responsibilities
- Build, orchestrate, and maintain data pipelines on our GCP stack, using BigQuery and dbt for modeling, PySpark and Parquet for large-scale processing, and Dagster for orchestration.
- Develop a deep understanding of this partner's core data models in order to collaborate effectively with Data Science and Data Ops.
- Partner with the Data Science and Data Ops teams to maintain datasets that are trusted, well-understood, and enable self-service.
- Work with a wide range of cross-functional stakeholders to derive and define requirements.
- Document, simplify, and explain complex problems to different types of audiences.
- Establish best practices for the development of specialized datasets for analytics and modeling.
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