Data Engineer, Data Solutions & Initiatives
About The Position
As a DSI Data Engineer, you will design and build core components of our internal data platform, spanning ingestion pipelines, semantic layers, and metadata systems as we move towards a data mesh. Your role involves bridging open-source technologies (e.g., Kafka, Spark, Iceberg) with our internal ecosystem—shaping how teams discover, use, and trust data for analytics and AI workloads. You will collaborate with other engineers, product managers, program managers, and end users to understand data needs and evolve platform capabilities that improve scale, quality, and usability. This hands-on engineering role emphasizes systems thinking, technical craftsmanship, and delivering tools that unlock real business value.
Requirements
- 7+ years of experience building distributed data applications and cloud-native platforms
- AI/ML pipeline enablement (building real-time pipelines, feature stores, vector databases)
- Exposure to GenAI use cases and their data and pipeline requirements
- Proficiency in Python, Scala/Java, with experience developing scalable and maintainable systems
- Strong SQL skills and experience with cloud data warehouses (e.g., Snowflake, BigQuery)
- Experience with modern data infrastructure tools (e.g., Spark, Kafka, Airflow, Iceberg)
- Experience with Kubernetes, distributed compute frameworks, or containerized environments
- Ability to build CI/CD pipelines to support large scale AI systems
Nice To Haves
- Commitment to data engineering best practices including version control, automated testing, data quality checks.
- Experience designing and building cloud-based applications, APIs, and data services
- Understanding of BI and analytics needs, and experience building for internal business use cases
- Hands-on experience integrating with business intelligence or visualization tools (e.g., Streamlit, Tableau, Looker)
- Experience working in global teams or serving as a technical contributor in a regional hub
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
