Senior Data Engineer
Company:Expression
Location:United States
Languages:English
Seniority level:Senior, 10+ years
Experience:10+ years
Skills:
AWSPostgreSQLSQLApache AirflowArtificial IntelligenceElasticSearchETLMongoDBTableauAzureData engineeringData visualizationData modeling
Requirements:
Combined 10+ years of experience and education in Computer Science, Information Systems, Software Engineering, Data Science, or related field. Experience building and maintaining ETL/ELT data pipelines, big data platforms or data lake architectures, and Data Visualization/BI tools. Experience with query performance optimization and tuning at scale. Knowledgeable in Generative AI tools and technologies. Strong written and oral communication skills.
Responsibilities:
Build end-to-end data solutions including ingest, logging, validation, cleaning, transformation, and security. Lead the design, development, and delivery of scalable data pipelines and ETL processes. Design and evolve robust data models and storage patterns. Define quality standards, checks, SLAs, and observability for data. Maintain client-facing relationships and lead product demonstrations. Contribute to the evolution of Expression’s VOR Data Platform. Participate in research, case studies, and prototype development.
