7plus years of experience in Data Engineering or related field
Strong experience with Snowflake and modern cloud data warehouse technologies
Hands-on experience with ETL/ELT tools such as Airflow, dbt, Fivetran, integrate.io, or similar
Advanced SQL skills and experience working with large-scale relational databases
Requirements:
Design, develop, and maintain scalable ETL/ELT data pipelines using modern data engineering tools and cloud technologies
Build and optimize data models and warehouse structures in Snowflake to support analytics and reporting needs
Implement data quality checks, monitoring, logging, and alerting mechanisms across pipelines and workflows
Serve as a primary responder for data platform and pipeline-related incidents
Job description
Sr. Data Engineer Location: Remote
Duration: Long Term
Job Description We are seeking a highly skilled Sr. Data Engineer to join our growing data platform team. The ideal candidate will have strong experience building scalable data pipelines, supporting modern cloud-based data warehouse environments, and driving data reliability initiatives across the organization. This role requires a proactive engineer who can take ownership of data operations, troubleshoot complex pipeline issues, and continuously improve platform performance, monitoring, and scalability. Responsibilities Data Pipeline Development & Maintenance
Design, develop, and maintain scalable ETL/ELT data pipelines using modern data engineering tools and cloud technologies
Build and optimize data models and warehouse structures in Snowflake to support analytics and reporting needs
Develop reliable and maintainable data workflows for ingesting, transforming, and delivering data from multiple source systems
Ensure high performance, scalability, and availability of data pipelines
Platform Reliability & Monitoring
Implement data quality checks, monitoring, logging, and alerting mechanisms across pipelines and workflows
Improve observability and proactively identify risks, bottlenecks, and operational gaps
Enhance system resilience, failure handling, and recovery processes to minimize downtime Incident Response & Troubleshooting
Serve as a primary responder for data platform and pipeline-related incidents
Perform root cause analysis (RCA) on data discrepancies, failures, and performance issues
Implement durable solutions and preventative measures to reduce recurring operational issues
System & Infrastructure Improvements
Identify opportunities to improve data architecture, orchestration processes, and workflow automation
Contribute to enhancements of the Snowflake-based data platform
Standardize data engineering best practices and optimize operational efficiency
Required Skills & Qualifications
7+ years of experience in Data Engineering or related field
Strong experience with Snowflake and modern cloud data warehouse technologies
Hands-on experience with ETL/ELT tools such as Airflow, dbt, Fivetran, integrate.io, or similar
Advanced SQL skills and experience working with large-scale relational databases
Experience supporting BI/reporting platforms such as Sigma Computing or similar tools
Experience working with ERP system data, preferably NetSuite or similar platforms
Strong understanding of data quality frameworks, monitoring, and alerting systems
Proven ability to troubleshoot complex pipeline issues and perform root cause analysis
Experience with workflow automation and pipeline orchestration
Preferred Qualifications
Experience in retail or operational business environments
Knowledge of scalable data architecture and cloud data platforms
