Analytics Engineer

Fetch is America's Rewards App, allowing millions of users to earn rewards for buying brands they love, whether shopping, grabbing a bite, or playing mobile games.
Birmingham, AL, USABoston, MA, USAChicago, IL, USA
$120,000 - $130,000
Data
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
AI · Finance · Consumer

Description For Analytics Engineer

Fetch, America's Rewards App, is seeking an Analytics Engineer to join our team. As an Analytics Engineer at Fetch, you'll play a crucial role in our data-driven platform that has delivered over $1 billion in rewards to millions of users.

Your responsibilities will include:

  • Modeling and analyzing data using SQL best practices for OLAP/OLTP query and database performance
  • Leveraging tools like Data Build Tool (DBT), Snowflake, Airflow, and AWS infrastructure
  • Generating innovative approaches to datasets with millions of daily active users
  • Translating business requirements into data models for near-real-time actionable insights
  • Communicating findings to a broad range of stakeholders
  • Managing administrative duties for Snowflake, Tableau, and DBT/Airflow infrastructure
  • Testing, monitoring, and reporting on data health and quality
  • Leading data documentation and discovery initiatives

The ideal candidate will have:

  • Proficiency in SQL and understanding of performance optimization
  • Experience with data modeling and orchestration tools
  • Familiarity with various data stores (e.g., Snowflake, MongoDB, S3, HDFS, Postgres)
  • Understanding of ETL/ELT processes, data warehouses, and BI tools
  • Strong communication skills and ability to work autonomously
  • Experience with DBT or Airflow in production environments
  • Knowledge of cloud resources deployment (AWS, Azure, or GCP)
  • Proficiency in at least one imperative programming language (e.g., Python)

At Fetch, we offer competitive compensation and benefits, including equity for everyone, 401k match, comprehensive health coverage, continuing education support, flexible PTO, and a hybrid work environment. Join us in reshaping how brands and consumers connect in the marketplace!

Last updated 3 months ago

Responsibilities For Analytics Engineer

  • Model and analyze data using SQL best practices for OLAP/OLTP performance
  • Leverage tools like DBT, Snowflake, Airflow, and AWS infrastructure
  • Generate innovative approaches to large-scale datasets
  • Translate business requirements into data models for actionable insights
  • Communicate findings to various stakeholders
  • Manage Snowflake, Tableau, and DBT/Airflow infrastructure
  • Test, monitor, and report on data health and quality
  • Lead data documentation and discovery initiatives

Requirements For Analytics Engineer

Python
MongoDB
PostgreSQL
  • Proficient in SQL with understanding of performance optimization
  • Experience with data modeling and orchestration tools
  • Familiarity with various data stores (e.g., Snowflake, MongoDB, S3)
  • Understanding of ETL/ELT processes, data warehouses, and BI tools
  • Strong communication skills
  • Ability to work autonomously
  • Experience with DBT or Airflow in production environments
  • Knowledge of cloud resources deployment (AWS, Azure, or GCP)
  • Proficient in at least one imperative programming language (e.g., Python)

Benefits For Analytics Engineer

401k
Dental Insurance
Education Budget
Equity
Medical Insurance
Parental Leave
Vision Insurance
  • Equity for everyone
  • 401k Match: Dollar-for-dollar match up to 4%
  • Comprehensive medical, dental, and vision plans (including for pets)
  • $10,000 per year in education reimbursement
  • Employee Resource Groups
  • Flexible PTO and 9 paid holidays
  • 20 weeks paid parental leave for primary caregivers, 14 weeks for secondary
  • $2,000 incentive for new family members (Calvin Care Cash)
  • Hybrid work environment

Interested in this job?

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