Data Engineer
Company:Base Operations
Location:United States
Languages:English
Seniority level:Middle, 3+ years
Experience:3+ years
Skills:
AWSPostgreSQLPythonSQLArtificial IntelligenceETLJenkinsKubernetesMachine LearningNumpyData engineeringData sciencePandasTerraformData modeling
Requirements:
3+ years experience building production-level data pipelines and supporting platforms. 3+ years experience implementing and maintaining data warehouses, data models, and performing schema migrations. Experience standing up a data warehouse from scratch (AWS Athena and S3 a plus). Strong working knowledge of SQL, data models, and schema migrations. Demonstrable thought leadership on operationalizing data quality. Development experience delivering production-ready code in Python (familiarity with Pandas). Strong collaborator across functional areas.
Responsibilities:
Build, test, and maintain ingestion and transformation pipelines, including NLP model integration. Develop data transformation, validation, and analysis methods. Build out a data warehousing strategy for the full data lifecycle. Operationalize data quality with visibility and remediation. Contribute to GIS data architecture strategies and drive implementation.
