Senior Data Engineer

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 • Familiarity with DevOps/DataOps practices • Strong communication and collaboration skills What We’re Looking For • Ownership mindset with strong accountability • Proactive problem-solving approach • Ability to work effectively in ambiguous environments • Strong analytical and troubleshooting skills • Ability to balance speed, quality, and reliability in solution delivery