Analytics Engineer at ID.me

ID.me logo
ID.me

Analytics Engineer

us flag
United States

135k - 153k USD

Hybrid

Full Time

#Engineering

#SQL

#Snowflake

#BigQuery

#Redshift

#DBT

#Python

#Git

#Data Modeling

#Tableau

#Looker

ID.me is looking for a Analytics Engineer

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At ID.me, we are on a mission to simplify how the world proves and shares identity online. With over 117 million registered members, our digital identity network serves as a trusted bridge for federal agencies, state governments, and hundreds of corporations. We are a high-growth enterprise software company recognized for our innovation and impact, including being named a finalist for the Wall Street Journal’s Startup of the Year. We believe in expanding digital access for everyone through our No Identity Left Behind initiative, and we are looking for a talented Senior Analytics Engineer to help us continue building a robust, secure, and inclusive network.

What you'll be doing

  • You will maintain and optimize our data infrastructure, working closely with tools like Snowflake, dbt, Tableau, Looker, and various GCP services.
  • You will partner with analysts, engineers, and scientists to design reusable data models, build insightful dashboards, and establish best practices for our data architecture.
  • You will act as a technical leader by mentoring team members, defining key business metrics, and driving a data-driven culture that empowers self-service analytics across the organization.

What you'll bring

To succeed in this role, you should have a strong background in quantitative analysis and engineering. We are looking for the following qualifications:

  • At least 7 years of experience in data analytics with deep expertise in SQL.
  • Over 7 years of hands-on experience with data warehousing technologies such as Snowflake, BigQuery, or Redshift.
  • At least 2 years of experience working with dbt, Python, and Git.
  • At least 3 years of experience in data modeling.
  • Proficiency with visualization tools like Tableau or Looker.
  • A bachelor's degree in a quantitative field like Computer Science, Engineering, or Mathematics, though a master's degree is preferred.
  • Strong communication skills and the ability to thrive in a hybrid, fast-paced environment.

What you'll get

The annual base salary for this position ranges from $135,000 to $153,000 USD, depending on your specific experience, skills, and location. As a full-time member of our team, you will also have access to a comprehensive benefits package, including:

  • Comprehensive medical, dental, and vision insurance.
  • Life insurance and disability coverage.
  • A 401(k) retirement plan with company matching.
  • Flexible hours and a hybrid work environment.
  • Generous paid time off.
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ID.me

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0 applied

Company Size

1001-5000

Markets

Security
Fraud Detection
Cloud Data Services

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