Senior Data Engineer focusing on data infrastructure for an AI - driven insurtech startup based in Nepal. Collaborating with teams to optimize data models and maintain data quality.
About the role
- Data Engineer at Commerce responsible for building data foundations to support AI Operations workflows and advanced analytics. Collaborating across teams to ensure clean and reliable data for business automation and decision-making.
Responsibilities
- Design and maintain data lake architectures that support AI Operations workflows, analytics, and automation.
- Build and optimize ETL/ELT pipelines to ingest raw data from internal and external tools into Snowflake and other structured data stores.
- Partner with Business Analysts to translate business requirements into scalable, production-ready data solutions.
- Collaborate with Automation Specialists to connect data pipelines with workflow automation requests, custom GPTs, and AI assistant integrations.
- Support Full Stack Engineers by developing and maintaining the MCP Server that connects data services with internal tools and systems.
- Work with Business Analysts to validate data quality and ensure accuracy across key datasets and workflows.
- Troubleshoot and resolve data ingestion issues, recommending improvements to infrastructure, processes, and tools.
- Monitor and maintain all data workflows within the AI Operations ecosystem, ensuring performance, reliability, and scalability.
Requirements
- 3+ years of experience in data engineering, data warehousing, or related fields
- Strong SQL and Python skills
- Hands-on experience building ETL/ELT pipelines (Airflow experience a plus)
- Skilled in Snowflake or similar cloud data warehouses (BigQuery, Redshift)
- Familiar with data lake concepts and best practices
- Comfortable working within AWS, GCP, or similar environments
- Familiar with Linux command-line operations
- Passionate about AI and eager to explore practical ways to enable automation through data
Benefits
- Health insurance
- Professional development opportunities
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Professional Consultant leading architecture and design for SAP BW and SAC solutions at Freudenberg. Collaborating with stakeholders and optimizing performance of data landscapes.
Senior Data Engineer designing and managing data architectures to transform large - scale data into insights for Humana. Involves leading technical discussions and implementing best data practices.
ウーブン・バイ・トヨタのデータプラットフォーム実現に情熱を持つエンジニアを募集中。スケーラブルなデータアーキテクチャの設計・実装を担当します。
Data Engineer II at Early Warning Services developing data science tools and infrastructure. Collaborating on software enhancements and mentoring interns in a hybrid work environment.
Senior Data Architect responsible for optimizing data architecture and supporting data - driven business decisions at TruStage. Leading technical guidance for data architecture and cross - functional team collaboration.
Senior Data Architect developing data architecture plans at The Hartford, collaborating with internal teams to align data standards and practices. Leading complex solutions with a focus on operational effectiveness.
Senior Solution Architect defining architecture framework for SA‑CCR in regulatory risk. Collaborating with stakeholders to ensure compliance and efficient data governance.
Senior Data Engineer optimizing and designing data pipelines on AWS for The Rec Hub. Collaborating with the team to enhance data processing and mentorship.
Data Engineer at TeCreation focusing on data analysis and innovative system development in the well - being industry. Collaborating on data integration and business intelligence reporting.