Remote Senior Analytics Engineer - Data Platform & AI

United States Digital Space LLC; United States; Remote; USD 157,000 - 185,000; Full time

Benefits offered by this job

Equity

Medical benefits

401(k) plan

Remote work stipend

Flexible PTO

Job summary

United States Digital Space LLC is hiring a Senior Analytics Engineer for a remote, full-time role in the United States. You will lay the foundation for a world-class analytics function, partnering with data science and business stakeholders to meet current and future needs.

You will design data models, write scalable SQL over data warehouses, enable AI tooling with semantic layers, and improve data infrastructure to drive data-driven decisions across the company.

Qualifications

• 4+ years of experience with data
• 2+ years in Software Engineering or related field
• Experience with analytics tooling (dbt required)
• Crafting dimensional and fact models in modern data fashion
• Desire to lead in security, anonymization, and compliance for data warehousing
• Ability to enable analytics across the company using AI responsibly

Responsibilities

• Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams.
• Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses.
• Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices.
• Manage and improve data infrastructure needed to drive data-driven decision-making solutions.
• Help develop front end applications to expose analytical data sets enterprise wide.
• Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise.

Skills

dbt

Stitch

Fivetran

Snowflake

BigQuery

Redshift

Airflow

Dagster

Looker

Mode

Sigma

Tools

SQL

Data Warehousing

Semantic Layers

Data Infrastructure

Job description

United States Digital Space LLC is hiring a Senior Analytics Engineer for a remote, full-time role in the United States. You will lay the foundation for a world-class analytics function, partnering with data science and business stakeholders to meet current and future needs.

You will design data models, write scalable SQL over data warehouses, enable AI tooling with semantic layers, and improve data infrastructure to drive data-driven decisions across the company.