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Senior Analytics Engineer

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Salary

$157,000 - $178,000

Location

San Francisco, CA, Remote. While you'll enjoy the flexibility of remote work, we also love to see our Earnies face-to-face! We ask you to join us at our Oakland office for 3 consecutive days a month for team collaboration and some fun.

The Senior Analytics Engineer will report to the Engineering Manager - Data Platform and Analytics.

As the Senior Analytics Engineer, you will:

  • Transform raw data into well-structured datasets using dbt.
  • Collaborate with analysts, data scientists, and engineers to develop scalable data models that power experiments, ML models, and reporting.
  • Define and implement best practices for data modeling, quality, and governance.
  • Ensure data reliability and accuracy through robust validation and monitoring processes.
  • Develop advanced analytics solutions and dashboards in Looker to give stakeholders actionable insights.

Your Impact:

  • Enable accurate reporting and analytics by building and maintaining scalable, high-quality data models.
  • Ensure stakeholders have access to trusted insights through improving data reliability, governance, and monitoring.
  • Empower analysts and data scientists by delivering clean, structured data for ML models, experiments, and reporting.
  • Drive business growth and operational efficiency by optimizing financial reporting, customer analytics, and product insights.
  • Drive data-driven decision-making and innovation by collaborating with cross-functional teams.

About You:

  • 2+ years of experience in data transformation and task scheduling tools such as dbt and Airflow.
  • 2+ years of experience maintaining and building in BI/analytics tools (Looker, Tableau, or similar tooling).
  • 2-3 years of experience with cloud data warehouses, such as Snowflake, Google BigQuery, Amazon Redshift, or similar platforms.
  • Expert-level SQL skills.

Even Better:

  • Experience in the Fintech industry.
  • 1-2 years experience working with financial systems and/or financial data.
  • 2+ years of experience working with AWS services (IAM, DMS, Ansible, Terraform, etc.)
  • Working knowledge of Python.

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