Hiring: Staff Data Engineer Company: Rocket Location: Los Angeles, CA Job Posted Time: 2026-09-16 13:19:06 Employment Type: Hybrid Target Skills & Keywords : Airflow, CI/CD, Dagster, Data Pipeline, Data Warehouse, ELT, ETL, Event-Driven, Lambda, Linux, Prefect, Python, SQL, SaaS, Serverless, Shell, Snowflake About the job Experience: •9 years of experience or equivalent competency building data solutions, including relational and non-relational databases, and supporting implementation and maintenance of batch and real-time data pipelines using cloud services •7 years of experience or equivalent competency in dimensional or tabular data modeling, including leading design reviews. •7 years of experience in Python development, including designing, deploying, and maintaining serverless/cloud-native services such as AWS Lambda. Required Skills: •Architect and evolve enterprise-scale data pipelines and platforms to support batch, real-time, and event-driven use cases. •Partner cross-functionally with stakeholders to gather requirements, frame technical tradeoffs, and shape data solutions that align with business priorities and long-term architectural direction. •Lead design and development of tabular and dimensional models across multiple business domains. •Build and optimize large-scale distributed data processing jobs with a focus on scalability, fault-tolerance, and cost-efficiency. •Establish and enforce best practices for data quality, governance, and observability across pipelines and systems. •Drive root-cause analysis for complex, systemic data issues and lead efforts to prevent recurrence. •Lead and oversee code reviews with a focus on scalability, maintainability, and enterprise-grade quality. •Influence and align data architecture strategy across hybrid environments (on-premises, multi-cloud, and SaaS). Qualifications: •Deep expertise designing and architecting complex data transformation pipelines across multiple domains and systems, and guiding technical decisions in partnership with stakeholders to align solutions with business goals. •Expertise writing and optimizing complex SQL queries in high-volume environments. •Expertise performance tuning queries and debugging and troubleshooting large-scale distributed data processing jobs (ETL, ELT, streaming). •Knowledge of Linux system administration, shell scripting, and networking at scale. •Applied hands-on capability in PowerBI or similar reporting tools •Bachelor’s or master’s degree in computer science, information technology, or a related field (or equivalent competency). •Demonstrated success in mentoring, growing, and technically leading engineers across multiple teams. Compensation: •$128,500 - $276,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!