Data Analytics Engineer
Location:
100% Remote (U.S.)
Employment Type:
Full-Time
Compensation:
$110-125k base A global organization undergoing a major data transformation is hiring multiple
Data Analytics Engineers
to help build and scale a modern, best-in-class analytics platform.
This role sits at the intersection of
data engineering, analytics engineering, BI, and software development
. You'll help build data products that turn complex datasets into scalable reporting, embedded analytics, visualizations, and self-service capabilities used by both internal stakeholders and external customers.
This is a great opportunity for someone who enjoys owning analytics solutions end-to-end — from the underlying data and semantic layer through to the applications and visualizations users interact with.
What You'll Do:
Build and enhance scalable analytics products, reporting solutions, dashboards, and embedded analytics applications.
Develop semantic models across complex datasets with a focus on scalability, performance, and maintainability.
Work across the full data lifecycle, including data pipelines, warehouse architecture, modeling, reporting, and analytics enablement.
Partner closely with engineering, IT, analytics, and business stakeholders to translate requirements into technical solutions.
Develop visualizations and self-service analytics capabilities that make data more accessible and actionable.
Work with raw and transformed data across multiple sources and data marts.
Identify opportunities to improve query, system, and analytics-product performance.
Support data governance, quality, and compliance initiatives across analytics products.
Contribute to the development of custom data products that integrate analytics and BI platforms with broader applications.
Must Have:
5+ years experience in
analytics engineering, data engineering, BI engineering, or a similar role
.
Advanced
SQL
and experience working with relational databases and other modern data stores.
Programming experience with
Python, R, Scala, or a similar language
.
Strong experience with modern BI/analytics platforms such as
Looker, Tableau, or Power BI
.
Experience developing
semantic/data models
for scalable analytics and reporting.
Understanding of the full data lifecycle, including
pipelines, data warehouses, modeling, reporting, and analytics
.
Experience working with cloud platforms such as
AWS, Azure, or GCP
.
Exposure to modern cloud data platforms such as
Snowflake, Databricks, or Azure Data Lake
.
Experience with
Git
and modern software development practices.
Strong communication skills and the ability to work cross-functionally with technical and business stakeholders.
Nice to Have
Snowflake
experience.
Looker and LookML
modeling experience.
Experience building
embedded analytics applications
or bespoke data products from the ground up.
Front-end development experience with
React, Vue.js, or similar frameworks
.
Familiarity with middle- and back-end software development.
Experience implementing analytics
governance and compliance frameworks
.
Experience with query optimization and system performance tuning.
Why Join?
Join a major
data transformation
and help shape a modern analytics ecosystem.
Build products from the ground up rather than simply maintaining legacy reporting.
Work across
analytics engineering, data engineering, BI, and software development
.
Create analytics products with direct visibility and impact across the organization and its customers.
100% remote
opportunity.
Comprehensive benefits including medical, dental, vision, retirement programs, wellness resources, and additional employee benefits.