Senior Analytics Engineer
Description For Senior Analytics Engineer
Fetch, America's Rewards App, is seeking a Senior Analytics Engineer to join their team. This role involves building systems that model data from multiple sources, enabling stakeholders to answer questions on an ongoing basis. The ideal candidate will work on cross-functional teams, tackling ambiguous and complex problems with innovative solutions.
Key responsibilities include:
- Modeling and analyzing data using SQL best practices for OLAP/OLTP query and database performance
- Leveraging tools like DBT, Snowflake, Airflow, and AWS infrastructure
- Generating innovative approaches for datasets with millions of daily active users
- Translating business requirements into data models and artifacts
- Communicating findings to a broad range of stakeholders
- Managing Snowflake, Tableau, and DBT/Airflow infrastructure
- Ensuring data health and quality
The role requires 3+ years of professional experience with advanced SQL knowledge, experience with data modeling and orchestration tools, and familiarity with various databases and data stores. The ideal candidate should be able to thrive in an autonomous environment and manage multiple work streams.
Fetch offers a comprehensive benefits package, including equity, 401k matching, health insurance (including for pets), education reimbursement, flexible PTO, paid parental leave, and a hybrid work environment. The company is ranked as one of America's Best Startup Employers by Forbes and fosters a people-first culture rooted in trust, accountability, and innovation.
Join Fetch in transforming the way brands reach their customers and empower consumers to Live Rewarded through the power of Fetch Points!
Responsibilities For Senior Analytics Engineer
- Model and analyze data utilizing SQL best practices for OLAP / OLTP query and database performance
- Leverage Data Build Tool (DBT), Snowflake, Airflow, AWS infrastructure, CI/CD, testing, and engineering best practices
- Generate innovative approaches to datasets with millions of daily active users and terabytes of data
- Translate business requirements for near-real-time actionable insights into data models and artifacts
- Communicate findings clearly both verbally and in writing to a broad range of stakeholders
- Perform administrative duties for Snowflake, Tableau, and DBT/Airflow infrastructure
- Test, monitor, and report on data health and data quality
- Lead data documentation and data discovery initiatives
Requirements For Senior Analytics Engineer
- 3+ years of professional experience in a technical role requiring advanced knowledge of SQL
- Experience with data modeling and orchestration tools
- Experience with relational (SQL) and non-relational (NoSQL) databases
- Experience with object data stores (e.g., Snowflake, MongoDB, S3, HDFS, Postgres, Redis, DynamoDB)
- Understanding of ETL vs. ELT processes, data warehouses, and business intelligence tools
- Ability to communicate clearly about data with technical and non-technical stakeholders
- Ability to thrive in a highly autonomous, matrixed organization and manage multiple, concurrent work streams
Benefits For Senior Analytics Engineer
- Equity for everyone
- 401k Match: Dollar-for-dollar match up to 4%
- Comprehensive medical, dental and vision plans for employees and pets
- $10,000 per year in education reimbursement
- Employee Resource Groups
- Flexible PTO and 9 paid holidays, including Juneteenth and Indigenous People's Day
- 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers
- $2,000 Calvin Care Cash for new family members
- Hybrid work environment
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