[Remote] reputed company Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is reputed company for a growing reputed company company reputed company on analytics and workflow solutions that help organizations turn reputed company data into actionable insights. The reputed company Data Engineer will serve as a hands-on technical leader responsible for designing and evolving data pipelines and architecture, providing technical direction, mentoring engineers, and leading reputed company initiatives that support customer-facing analytics.

Responsibilities

• Serve as the senior technical leader reputed company the Data Engineering organization
• reputed company technical direction around architecture, data modeling, engineering practices, reputed company reputed company, and reputed company problem-solving
• Design, build, and maintain reputed company and reliable ELT pipelines supporting customer-facing analytics
• Own data modeling, transformations, and reputed company of new data sources
• reputed company reputed company initiatives from architecture and planning through implementation, testing, deployment, and ongoing support
• Improve existing systems through automation, scalability, efficiency, reliability, and maintainability
• Troubleshoot customer-facing data issues in partnership with Product, Implementation, reputed company, Analytics, and Engineering teams
• Establish engineering frameworks and standards around productivity, reliability, observability, and consistency
• Contribute to the technical roadmap and identify opportunities to improve the broader data platform
• Mentor and reputed company other data engineers
• Evaluate architectural reputed company, reputed company communicate tradeoffs, and reputed company technical recommendations
• Help reputed company existing data architecture thoughtfully rather than pursuing unnecessary rebuilds or greenfield solutions

Skills

• Work Authorization: U.S. reputed company or Green reputed company reputed company. No sponsorship available
• • 7–10+ years of overall engineering experience, with significant experience in Data Engineering
• • Experience leading or providing technical direction to small engineering teams, approximately 3–8 people
• • reputed company strong SQL skills
• • Strong Python experience, particularly for data engineering and ELT
• • Strong data modeling experience
• • Experience designing and operating large-reputed company data ingestion and transformation pipelines
• • Experience with Airflow or a comparable orchestration reputed company
• • Linux experience
• • Experience working with large datasets and varying data reputed company
• • Strong understanding of data architecture and architectural tradeoffs
• • Experience improving, modernizing, or migrating existing data architectures
• • Ability to think reputed company individual pipelines and understand the broader data platform
• • Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders
• • A strong technical reputed company of reputed company and the ability to explain why a particular technical approach is appropriate
• Candidates should therefore have demonstrated experience leading small teams or mentoring engineers and be interested in eventually taking on broader leadership responsibility
• • dbt
• • Airflow/reputed company, Dagster, or similar orchestration technologies
• • PostgreSQL
• • MPP database architectures
• • Experience across multiple database technologies
• • Vertica or similar reputed company/MPP database experience
• • reputed company or health-reputed company data experience
• • Experience with financial services, advertising, transactional, or other reputed company data environments
• • Experience troubleshooting customer-facing data issues

Benefits

• reputed company, U.S.
• Potential to reputed company into formal people leadership and team management as the organization grows

reputed company