Manager, Data Analytics and Engineering

🕒 October 20

🇺🇸 United States – Remote

💵 $215k - $235k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📉 Data Analyst

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📋 Description

• Lead, mentor, and develop a team of Data Engineers through regular 1:1s, coaching, and performance feedback • Own hiring, onboarding, career development, and performance management for the team • Foster accountability, ownership, collaboration, and continuous improvement • Balance delivery expectations with sustainable team practices • Own the design, development, and operation of batch and streaming data ingestion, transformation, storage pipelines, and analytical models • Ensure reliability, scalability, performance, and cost efficiency of data systems • Drive best practices in data modeling, data quality, observability, and operational excellence • Review and guide technical designs, architecture decisions, and code quality • Partner with platform and infrastructure teams on tooling, security, and scalability • Translate business and analytics requirements into scalable technical solutions • Partner with Product, Analytics Engineering, Data Science, and Business teams to deliver trusted datasets and metrics • Own sprint planning, prioritization, and delivery commitments • Communicate progress, risks, and tradeoffs to stakeholders and leadership • Establish and enforce data engineering standards, patterns, and documentation • Support data governance, data contracts, and schema management • Ensure compliance with security, privacy, and data retention requirements

🎯 Requirements

• A graduate degree in Computer Science, Mathematics, or a related quantitative field. • 8+ years of experience in Data Engineering or related roles • 3+ years leading engineers (hiring, coaching, delivery accountability) • Strong distributed systems fundamentals (scaling, reliability, data correctness) • Hands-on ability in Python and/or Java • Experience with cloud data ecosystems (GCP - Preferred, AWS, or Azure) • Proficiency with SQL and at least one programming language (Python, Java, or Scala) • Experience with orchestration tools (Airflow, Argo, etc.) • Solid understanding of data modeling, ETL/ELT patterns, and data reliability • Experience with streaming technologies (Kafka, Flink, Spark Streaming) • Experience with modern data warehouses / lakehouses (BigQuery, Snowflake, Redshift, Iceberg) • Familiarity with analytics engineering tools (dbt, semantic layers) • Exposure to data governance, observability, and data quality tooling • Must be authorized to work for any employer in the U.S.; employment visa sponsorship is unavailable

🏖️ Benefits

• Company-subsidized medical, dental, & vision plans • 401(k) plan with company match • Annual bonus • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) • Generous paid leave programs, including 16-week paid parental leave and disability benefits • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked • Company-wide in-person events and team outings • Lifestyle enhancement program • Company equipment provided (Windows & Mac options) • Annual performance reviews with opportunities for growth and career development

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