Senior Data Engineer

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Niche

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2002

📚 Education

🏪 Marketplace

🤝 Non-profit

Education • Marketplace • Non-profit

Niche is a platform that simplifies the search for educational institutions, ranging from K-12 schools to colleges and graduate schools. It provides users with data, reviews, and insights to help them find schools that fit their individual needs. Niche offers tools for comparing schools, tracking the application process, and accessing scholarships and financial aid information, making it easier for students and families to navigate the education landscape.

📋 Description

• Build and support data pipelines that can handle the volume and complexity of data while ensuring scale, data accuracy, availability, observability, security, and optimum performance • Developing and maintaining data warehouse tables, views, and models, for consumption by analysts and downstream applications • Own and lead workstreams while driving results through self or your team • Participate in periodic data engineering activities, e.g. monthly insights reporting, profile data updates, etc • Troubleshoot production issues, and participating in on-call activities • Identify several areas for improving data engineering processes, and share with the team • Contribute consistently towards building our data platform, which includes data pipelines, and data warehouse layers • Independently own and lead workstreams whether it is periodic data engineering activities, or work items in support of our roadmap • Deepen your understanding, and build subject matter expertise of our data & ecosystem • Your contributions have led to us making significant progress in implementing the data platform strategy, and key data initiatives to support the company's growth • You’ve established yourself as a key team member with subject matter expertise within data engineering

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field • 6+ years of experience in data engineering • Demonstrated experience of building, and supporting large scale data pipelines - streaming and batch processing • Software engineering mindset, leading with the principles of source control, infrastructure as code, testing, modularity, automation, CI/CD, and observability • Proficiency in Python, SQL, Snowflake, Postgres, DBT, Airflow, Docker, Kubernetes, Kafka • Experience of working with Google Analytics, Marketing, Ad & Social media platform, CRM/Salesforce, and JSON data; Government datasets, and geo-spatial data will be a plus • Knowledge and understanding of the modern data platform, and its key components - ingestion, transformation, curation, quality, governance, and delivery • Knowledge of data modeling techniques (3NF, Dimensional, Vault) • Self-starter, analytical problem solver, highly attentive to detail, effective communicator, and obsessed with good documentation • Familiarity with Agile product management principles will be a plus

🏖️ Benefits

• Flexible work arrangements • Remote work options