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Niche

Education-search platform with school reviews

Manager, Data Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 6 years of experience in data engineering, including 1–2 years of team leadership experience.
  • Proven experience managing and mentoring data engineers.
  • Deep knowledge of modern data platforms, including Snowflake, dbt, Airflow, Airbyte, RudderStack, and Kafka.
  • Strong skills in Python, SQL, and data modeling, including 3NF, dimensional modeling, and data vault.
  • Experience delivering robust, observable, secure, and scalable data pipelines.
  • Familiarity with Agile product delivery and cross-functional collaboration.
  • Strong communication skills and a bias for clarity and action.

Responsibilities

  • Lead and manage a team of 3–5 data and software engineers to execute the data product roadmap.
  • Oversee the design, development, and maintenance of scalable, secure, and observable data pipelines and warehouse layers using Python, SQL, Snowflake, dbt, Airflow, and Kafka to support content delivery, analytics, reporting, and operational systems.
  • Drive execution by managing sprint planning, work estimation, standups, and retrospectives.
  • Collaborate with Analytics, Product, and Engineering partners to understand data requirements and deliver solutions aligned with business priorities.
  • Guide the team in monitoring, troubleshooting, and resolving production issues.
  • Implement and uphold engineering best practices, including testing, CI/CD, code reviews, and documentation.
  • Coach and mentor team members on technical execution, communication, and career development.
  • Identify and remove process bottlenecks to improve development velocity, delivery quality, system performance, and cost efficiency across the data platform.
  • Participate in hiring and help onboard new team members.
  • During the first month, meet team members to learn about the company, build trust with team members and cross-functional stakeholders, and review current data systems, pipelines, and platform architecture.
  • Within three months, lead team rituals consistently, oversee day-to-day execution of data platform and pipeline projects, align priorities with stakeholders across Analytics, Product, and Engineering, and begin coaching team members on execution, communication, and growth areas.
  • Within six months, drive accountability and delivery for roadmap initiatives, identify and resolve process bottlenecks, promote technical best practices, guide the team on data quality, pipeline reliability, and operational excellence, and participate in hiring and onboarding new engineers.
  • Within twelve months, demonstrate measurable impact on platform scalability, data availability, and team performance; evolve team structure, goals, and operating model to meet business needs; and serve as a strategic partner to improve how data is acquired, transformed, governed, and delivered.

Desired Qualifications

  • Experience ingesting and processing third-party data sources such as CRMs, Google Analytics, advertising platforms, and social media; delivering lead pipelines; working with marketing attribution, customer segmentation, and personalized user experiences.
  • Exposure to data monetization or licensing, or external data product delivery.
  • Background working with external datasets or geospatial data.
  • Demonstrated success fostering a high-performing, inclusive team culture.

About the Company

Niche

Education-search platform with school reviews

Niche.com helps students and families find the right schools and programs by providing a platform with detailed school profiles, rankings, program information, and user reviews. Users search and compare K-12 schools, colleges, and graduate programs based on their preferences, and can see neighborhood insights and living context to inform choices. Schools can claim and manage their profiles to share information and engage with potential applicants, while Niche monetizes through targeted advertising and premium listing services for institutions. The platform stands out by combining comprehensive school data with community reviews and neighborhood context, along with personalized recommendations to guide decision-making. The goal is to make it easier for families to navigate the education landscape and connect with institutions that best fit their needs.

Company size
501-1,000
Company stage
Series C
Total funding
$44.8M
Headquarters
Pittsburgh, PA
Founded
2002

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