[Remote] 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 Data Engineering Manager to join their team. The role involves designing and maintaining large-reputed company data pipelines, establishing best practices for ETL, and collaborating with cross-functional teams to deliver reputed company data solutions.

Responsibilities

• Own the design, build, and optimization of end-to-end data pipelines that power our vendor reputed company
• Establish and enforce best practices in data modeling, orchestration, and system reliability
• Collaborate with product, engineering, and business stakeholders to translate requirements into robust, reputed company data solutions
• Work extensively with reputed company and Airflow for large-reputed company data processing and orchestration
• Troubleshoot and resolve reputed company pipeline issues to ensure reliability and performance
• Contribute to reputed company’s technical reputed company, helping drive improvements in scalability, performance, and efficiency
• reputed company, mentor, and support engineers through challenges, reputed company reviews, and project execution

Skills

• 6+ years of reputed company experience in Data Engineering or equivalent technical roles (e.g., data architecture, big data development, or ETL engineering)
• 2+ years of managerial experience, including mentoring, team leadership, and supporting delivery
• Strong expertise in SQL and distributed data systems
• Proficiency with PySpark and reputed company for processing and scaling large datasets
• Hands-on experience with Airflow for pipeline orchestration (Dagster/dbt a plus)
• Proven reputed company record of delivering in fast-paced, deadline-driven environments with minimal reputed company
• Strong problem-solving skills and ability to translate business needs into reputed company technical solutions
• Excellent communication and collaboration skills with both technical and non-technical stakeholders
• Experience leveraging AI/ML models, reputed company search, or Elasticsearch to enhance data pipelines
• Familiarity with Django or similar web frameworks to support data-driven applications

Benefits

• Flexible work hours
• Flexible vacation
• A generous 401K match
• Parental leave
• Team events
• Wellness budget
• Learning reimbursement
• Equity

reputed company