Earnest

Senior Analytics Engineer

Earnest

full-time

Posted on:

Location Type: Remote

Location: Remote • California • 🇺🇸 United States

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Salary

💰 $175,000 - $215,000 per year

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftAnsibleAWSBigQueryCloudPythonSQLTableauTerraform

About the role

  • 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

Requirements

  • 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
  • Experience in the Fintech industry
  • 2+ years of experience working with AWS services (IAM, DMS, Ansible, Terraform, etc.)
  • Working knowledge of Python
Benefits
  • Health, Dental, & Vision benefits plus savings plans
  • Mac computers + work-from-home stipend to set up your home office
  • Monthly internet and phone reimbursement
  • Employee Stock Purchase Plan
  • Restricted Stock Units (RSUs)
  • 401(k) plan to help you save for retirement plus a company match
  • Robust tuition reimbursement program
  • $1,000 travel perk on each Earnie-versary to anywhere in the world
  • Competitive days of annual PTO
  • Competitive parental leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data transformationdata modelingSQLPythondata validationdata governanceanalytics solutionsdashboard developmentmachine learning modelstask scheduling
Soft skills
collaborationcommunicationproblem-solvingattention to detailstakeholder engagement