Senior Data Intelligence Engineer

Limelight Health; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Unlimited PTO

401(k) plan with company match

Learning / Education stipend

Job summary

A leading AI company in the United States is seeking a founding engineer for their Data Intelligence team. This role involves building API-based tools and high-fidelity data models crucial for the company’s data environment. Ideal candidates should have over 5 years of experience in Data or AI Engineering, a mastery of SQL and Python, and a builder mindset for transforming complex data into impactful business logic. The company offers comprehensive health benefits, unlimited PTO, and continuous learning opportunities.

Qualifications

• 5+ years in high-growth Data or AI Engineering roles.
• Mastery of SQL and Python with experience in building RAG or Agentic systems.
• Familiarity with metrics of an API-first business.

Responsibilities

• Build and maintain dbt and SQL models for revenue models.
• Develop tools for Analyst Agents to query and analyze data.
• Collaborate with Engineering team for data contract reliability.

Skills

SQL

Python

Data Engineering

AI Engineering

Job description

The Role

Reporting to the Head of Decision Intelligence, you are the founding engineer of the Data Intelligence team. While the Head of Data sets the strategic "Brain" of the company, you build the nervous system. You are not building legacy dashboards; instead you are building the API-based tools, dbt models, and semantic layers that allow AI agents to navigate our data environment autonomously.

Key Responsibilities

• Semantic Layer Architecture: Build and maintain high-fidelity dbt and SQL models that serve as the "ground truth" for our complex, usage-based revenue models.

• Agent Tooling & Integration: Develop the tools and permissions frameworks that allow "Analyst Agents" to query Athena, correlate Salesforce churn signals, and identify API latency issues.

• Infrastructure Evolution: Serve as the technical bridge to the Engineering/Infra team to ensure our data contracts are "agent-ready" and highly reliable.

• The "Unlock Audio Intelligence" Project: Partner with the Head of Data to ingest thousands of hours of internal calls using Deepgram’s own models, turning unstructured audio into queryable insights for GTM teams.

• Automation Obsession: Maintain a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents.

Requirements

• Experience: 5+ years in high-growth Data or AI Engineering roles.

• AI-Native Technical Skills: Mastery of SQL and Python (production-grade) with a proven track record of building RAG or Agentic systems on top of structured data.

• Usage-Based SaaS Fluency: Familiarity with the metrics of an API-first business, such as consumption patterns, gross margins, and NRR.

• Builder Mindset: Comfort with "work-in-progress" infrastructure and the ability to turn messy, siloed data into high-impact business logic.

Bonus Points

• Prior experience as a Software Engineer or Data Engineer.
• Experience with real-time billing and consumption systems.
• Contributions to open-source data or AI projects.

Benefits & Perks*

Holistic health

• Medical, dental, vision benefits
• Annual wellness stipend
• Mental health support
• Life, STD, LTD Income Insurance Plans

Work/life blend

• Unlimited PTO
• Generous paid parental leave
• Flexible schedule
• 12 Paid US company holidays
• Quarterly personal productivity stipend
• One-time stipend for home office upgrades
• 401(k) plan with company match
• Tax Savings Programs

Continuous learning

• Learning / Education stipend
• Participation in talks and conferences
• Employee Resource Groups
• AI enablement workshops / sessions

*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.

Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.

We are happy to provide accommodations for applicants who need them.