Analytics Engineer

About This Opportunity

We are representing a confidential technology client in their search for an Analytics Engineer to join their Data Engineering team. This is a remote opportunity based in the United States, offering the chance to build and support scalable data models that transform raw data into business-ready datasets.

In this role, you'll develop and maintain modular dbt models, semantic layers, and BI views for consumption by business analysts and executive stakeholders. You'll be joining the team as they build the next generation of their analytics platform and semantic capabilities, reporting to the Manager of Data Engineering.

Responsibilities

• Develop, document, and maintain robust dimensional models, semantic definitions, warehouse transformation logic, and BI datasets tailored for business analysts and decision-makers
• Design, build, and maintain clean, version-controlled data models that support semantic layers and enable business-wide self-service analytics and reporting
• Ensure high data quality, business logic consistency, and pipeline accuracy through automated dbt testing, lineage tracking, performance tuning, and proactive alerting systems
• Analyze and improve complex business logic and fragmented queries, turning disparate analyst requests into standardized, well-documented semantic models
• Integrate essential data governance, metric standardization, and documentation practices, ensuring single-source-of-truth definitions and secure data access across teams
• Actively understand evolving business trends and cross-functional partnerships to embed rich context into the data layer
• Contribute consistently to building the analytics platform, including dbt data models, semantic layers, and BI reporting frameworks

What We're Looking For

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field
• 3-5 years of experience in analytics engineering, data engineering, or data science
• Demonstrated experience building, testing, and maintaining production-grade data transformation workflows and semantic models
• Practical experience applying dimensional data modeling techniques (Star Schema, Kimball) and using dbt or semantic tools to define, document, and communicate metric logic across teams
• Direct experience modeling business domain data including CRM platforms, web analytics, ad platforms, product usage metrics, and semi-structured formats like JSON for BI consumption
• Software engineering mindset applied to data, including version control (Git), automated testing, CI/CD, and code documentation
• Proficiency in Advanced SQL, dbt, Snowflake, Python, Git, and modern BI tools such as Looker or Tableau
• Knowledge of the modern data stack and its transformation components including modeling, semantic layers, testing, documentation, governance, and BI integration
• Self-starter with strong analytical problem-solving skills, attention to detail, and effective communication abilities

Please note: Our client requires candidates who are legally authorized to work in the United States without sponsorship now or in the future. They are currently hiring in specific states where they have existing employees.

How We Work With You

When you apply through Get A Job.ai, our talent team will review your qualifications and conduct an initial screening. If we determine you're a strong match, we'll submit your profile to our client for consideration. Throughout the process, we'll keep you informed and provide guidance.

The interview process with our client typically includes a phone screen with their talent acquisition partner, a video interview with the hiring manager, a team interview, and a technical interview—each approximately 30 minutes.

Important: Please do not attempt to contact our client directly. All applications and communications should go through Get A Job.ai to ensure proper consideration of your candidacy.

Pay

Our client's target base salary range for this position is $96,000-$120,000, plus participation in their annual bonus and stock option program. Base compensation will be commensurate with experience and skills.

Get A Job.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.