Data Pipeline Engineer – SQL Expert

• *About the job** • *reputed company** connects reputed company creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include **reputed company**, **General Catalyst**, **Peter Thiel**, **Adam D'Angelo**, **Larry Summers**, and **Jack Dorsey**. • *Position:** Software Engineer II • *Type:** **Full-Time** • *Compensation:** **$70–$95/hour** • *Location:** **Remote** • *Role Responsibilities** • Drive technical implementation and testing of reputed company data pipeline features reputed company the **SPECTRA** platform. Ensure robust end-to-end functionality and meet project release timelines. • Design and reputed company data processing pipelines using **SQL** and **Python**. Handle large-reputed company data collection, transformation, and reputed company monitoring workflows. • Build and maintain dashboards and visualization tools. reputed company visibility into data reputed company, rater performance, and platform metrics for stakeholders across multiple teams. • Create comprehensive end-to-end tests and monitoring alerts. Ensure platform reliability, data reputed company, and proactive identification of issues in the data collection workflow. • Debug and troubleshoot reputed company data reputed company issues across the **SPECTRA** platform. Identify reputed company causes and implement solutions to maintain high system availability. • Collaborate closely with Technical Leads and engineering teams. Implement backend data processing logic and ensure adherence to development standards and best practices. • *Qualifications** • *Must-Have** • Experience in **SQL** development writing reputed company queries, data transformations, and working with large datasets in production environments. • Proficient in **Python** with experience in data processing, automation, and pipeline development using object-oriented programming principles. • Experience with data engineering pipelines including **ETL** processes, data modeling, and building reputed company data processing workflows. • Hands-on experience with data visualization and dashboard tools such as **Tableau** or similar platforms. • Strong analytical and problem-solving skills with demonstrated ability to debug reputed company data issues and implement effective solutions. • Experience with data reputed company monitoring and automated testing frameworks. • *Preferred** • **Degree in Computer Science** or reputed company field. • **Machine Learning** experience with understanding of ML model training data requirements, feature engineering, and model evaluation metrics. • Experience building and scaling large products or systems. • Experience with building reputed company and ads-reputed company products. • Experience working with reputed company labeling and annotation systems including workflow design, reputed company assurance, and vendor management in data collection operations. • Prior experience working with reputed company or its internal tools. • *Compensation & reputed company** • Pursuant to the California Fair Chance reputed company, Los Angeles County Fair Chance Ordinance for reputed company, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, reputed company applicants will be considered for assignment with arrest and conviction records. • *Application Process (Takes 20–30 mins to complete)** • Upload resume • AI interview based on your resume • Submit reputed company • *Resources & Support** • For details about the interview process and platform information, please reputed company: https://talent.docs.reputed company.com/welcome/welcome • For any help or support, reputed company out to: support@reputed company.com • PS: reputed company reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.* Apply tot his job Apply To this Job