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$225K/yr
Senior Analytics Engineer EMPLOYER: ID.me, LLC (formerly known as: ID.me, Inc.) LOCATION: Mountain View, CA DUTIES: Support our data infrastructure which includes Snowflake, dbt, Sigma, and GCP ...
Mountain View, CA · On-site
$225K/yr
Senior Analytics Engineer EMPLOYER: ID.me, LLC (formerly known as: ID.me, Inc.) LOCATION: Mountain View, CA DUTIES: Support our data infrastructure which includes Snowflake, dbt, Sigma, and GCP ...
Los Angeles, CA · On-site
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$61.2K - $71.5K
13% of jobs
$78.9K is the 25th percentile. Wages below this are outliers.
$71.5K - $81.8K
17% of jobs
$81.8K - $92K
14% of jobs
The median wage is $96.8K / yr.
$92K - $102.3K
14% of jobs
$102.3K - $112.6K
11% of jobs
$117.4K is the 75th percentile. Wages above this are outliers.
$112.6K - $122.9K
15% of jobs
$122.9K - $133.2K
6% of jobs
$133.2K - $143.5K
0% of jobs
$143.5K - $153.7K
2% of jobs
$153.7K - $164K
2% of jobs
$164K - $174.3K
6% of jobs
$61.2K
$106.9K
$174.3K
| Aspect | Analytics Engineer | Data Engineer |
|---|---|---|
| Credentials | Often requires SQL, Python, data modeling certifications | Requires similar skills, often with additional focus on infrastructure and systems |
| Work Environment | Focuses on data analysis, visualization, and reporting | Builds data pipelines, manages data infrastructure |
| Industry Usage | Common in analytics teams, BI, and data-driven roles | Prevalent in data engineering, data platform teams |
While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.
5.6
Based on 7 frontline employees who took The Breakroom Quiz
195th of 209 rated software companies
TITLE: Senior Analytics Engineer
EMPLOYER: ID.me, LLC (formerly known as: ID.me, Inc.)
LOCATION: Mountain View, CA
DUTIES: Support our data infrastructure which includes Snowflake, dbt, Sigma, and GCP services. Educate the organization on analytical approaches to drive business decisions. Research, design, and implement best practices in managing data platforms. Partner with data analysts, engineers, and scientists to build reusable data infrastructure, analytics, dashboards, and models. Lead transformational efforts to build a data driven culture at ID.me by enabling data self-service. Provide technical guidance, mentorship, coaching and/or training to data analysts.
REQUIREMENTS: Bachelor's degree or equivalent in Computer Science, Analytics, Engineering, Math, Physics, Statistics, or related quantitative field and five (5) years of progressive, post-baccalaureate experience as a Senior Analytics Engineer or any occupation related to database architecture.
Must have five (5) years of experience with: (1) Data Analytics and (2) SQL.
Must have three (3) years of experience with: (1) Data Warehousing technologies such as Snowflake, Redshift, or Bigquery; (2) Building transformational data models in dbt (Data Build Tool) and Snowflake; (3) Implementing best practices in SQL modeling; (4) Automating and integrating code changes and updates in CI/CD frameworks; (5) Developing data architecture and design; (6) Utilizing visualization/reporting tools including Sigma, Tableau, or Looker.
All offers of employment are contingent upon the successful completion of a background check and successfully passing assigned AI proficiency testing.
TRAVEL: Travel required up to 10% of the time to ID.me's office locations and conferences within the U.S.
SALARY: $225,000 per year
TO APPLY: Select "Apply" on this page and follow the prompts to attach resume and submit.
JOB CODE: ID200
Sourced by ZipRecruiter
Software development
501 - 1,000 Employees
McLean, VA, US
2010
