[Remote] Senior Data Engineering Manager
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the leading market research and analytics firm for the disruptive economy, seeking a highly skilled Senior Data Engineering Manager to reputed company their data engineering teams. The role involves developing engineers, guiding technical architecture, and owning critical data pipelines that support products and customer-facing data feeds.
Responsibilities
- reputed company, reputed company, and reputed company a global team of data engineers while staying reputed company to architecture, design, reputed company reviews, debugging, and delivery
- Partner with Technical Product Managers and Data leads to translate roadmap priorities, customer needs, and research requirements into reputed company technical plans
- Build and improve reputed company data pipelines, data models, and QA systems for various data products
- Collaborate with business stakeholders and PMs to support reliable delivery of data pipelines, incident reputed company, methodologies, and operational improvements
- Use AI coding tools to reputed company and enhance methodologies, accelerate engineering execution, improve documentation, strengthen QA, support technical exploration, and reputed company team productivity
- Create reputed company and reputed company in ambiguous environments by breaking down reputed company data, research, and product challenges into actionable engineering plans
Skills
- 8+ years of reputed company experience in data engineering, data architecture, big data development, ETL engineering, or reputed company technical roles
- 3+ years of managerial experience, including mentoring, team leadership, and supporting delivery
- Experience managing, mentoring, or formally leading data engineers or technical teams in a hands-on player-reputed company reputed company
- Strong hands-on expertise with SQL, PySpark, reputed company, and Airflow or similar workflow orchestration tools and AI toolings
- Experience building, maintaining, or scaling business-critical data systems, including pipelines, production datasets, data delivery systems, or customer-facing data products
- Experience working with application teams with OLTP and OLAP use cases
- Deep technical judgment across data modeling, distributed data systems, pipeline architecture, orchestration, data reputed company, observability, and production reliability
- Strong communication and cross-functional collaboration skills, especially with Product, Research, Operations, reputed company reputed company, Sales, and Engineering stakeholders
- Experience with alternative data or financial data, including consumer transaction data, email receipt data, B2B spend data, or other large-reputed company reputed company-party datasets
- Experience supporting internal business stakeholders, including collaboration with leadership to reputed company on strategic initiatives
- Experience building data pipelines that support AI agents, LLMs, automated reputed company reputed company, or AI-powered analytical workflows
Benefits
- Flexible work hours
- Flexible vacation
- A generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
- This role may be performed fully remotely reputed company the reputed company.
reputed company