Senior Data Engineer

Data Solutions:

● Build end-to-end data solutions that include ingest, logging, validation, cleaning, transformation, and security.

● Define quality standards and checks, SLAs, and observability to ensure data is accurate and trustworthy.

● Maintain client-facing relationships and lead product demonstrations.

Data Pipelines:

● Lead the design, development, and delivery of scalable data pipelines and ETL processes.

● Contribute to the evolution of Expression’s VOR Data Platform; including tooling, standards, and automation.

● Participate in research, case studies, and prototype development to explore and leverage cutting-edge technologies, including agentic AI solutions.

Data Architecture:

● Design and evolve robust data models and storage patterns that support analytics and efficiency use-cases.

● Experience with cloud-native data solutions leveraging AWS or Azure.

● Experience with PostgreSQL, ElasticSearch, MongoDB, and graph databases.