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Dbt Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Bachelor's degree in computer science, Data Engineering, Information Systems, Engineering ... Experience with data platforms and tooling such as Pandas, Spark, Airflow, dbt, or similar ...

Senior AI Technologist

Raleigh, NC · On-site

$48.75 - $63/hr

Bachelor's degree in computer science, Data Engineering, Information Systems, Engineering ... Experience with data platforms and tooling such as Pandas, Spark, Airflow, dbt, or similar ...

Showing results 41-52

Dbt Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do dbt data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for dbt data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a dbt data engineer, and why are they important?

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

How does a dbt data engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

What is a dbt data engineer?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

What is the difference between Dbt Data Engineer vs Data Analyst?

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

What cities near Raleigh, NC are hiring for Dbt Data Engineer jobs? Cities near Raleigh, NC with the most Dbt Data Engineer job openings:
Infographic showing various Dbt Data Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Principal Data Scientist (Raleigh)

Azurity Pharmaceuticals

Raleigh, NC • On-site

$180K - $220K/yr

Full-time

Medical, Dental, Vision

Re-posted 5 days ago


Job description

Base pay range

$180,000.00/yr - $220,000.00/yr


Additional compensation types

Annual Bonus


About the Company

Azurity Pharmaceuticals is a privately held, specialty pharmaceutical company that focuses on innovative products that meet the needs of underserved patients. As an industry leader in providing unique, accessible, and high-quality medications, Azurity leverages its integrated capabilities and vast partner network to continually expand its broad commercial product portfolio and robust late-stage pipeline. The company’s patient centric products span the cardiovascular, neurology, endocrinology, gastro-intestinal, institutional, and orphan markets, and have benefited millions of patients. For more information, visit www.azurity.com. Azurity Pharmaceuticals is proud to be an inclusive workplace and an Equal Opportunity Employer. Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do. We seek highly motivated individuals with the dedication, integrity, and creative spirit needed to thrive in our organization.


About the Role

Azurity Pharmaceuticals is seeking a Principal Data Scientist to lead the design, strategic development and operationalization of advanced analytics and AI/Machine Learning solutions that directly drive commercial impact across our portfolio. This is a high-visibility, high-impact role that combines hands-on data science leadership with strategic influence, helping to shape the future of commercial analytics at Azurity. You will serve as a hands-on technical contributor and scientific thought leader across a range of innovative machine learning, statistical modeling, causal inference, and decision optimization models. These models will power initiatives across field sales, omnichannel marketing, HCP engagement, and strategic account management—You will work in close collaboration with data engineering, business strategy, field operations, and executive stakeholders to translate business objectives into deployable, scalable models that optimize brand performance and patient access. The ideal candidate is not only a deep expert in applied data science but also a forward thinking leader with a track record of driving business value through scalable AI systems, mentoring teams, and setting long-term analytics direction.


Responsibilities

  • Set the strategy and lead the execution of Azurity’s commercial analytics and AI roadmap, aligning data science initiatives with corporate growth

  • Own the end-to-end development lifecycle for machine learning and causal inference models that inform:

  • Omnichannel marketing targeting and optimization

  • Strategic account prioritization

  • Design and implement causal modeling frameworks (e.g., uplift modeling, counterfactuals, quasi-experiments), Observational causal inference techniques, including Propensity Score Matching (PSM), inverse probability weighting, and doubly robust estimators to quantify true business impact

  • Drive adoption of best practices in model governance, MLOps, reproducibility, and documentation using tools like Git, DBT, MLflow, and Azure

  • Serve as a technical mentor and team leader, guiding junior and senior scientists and elevating standards in modeling rigor, code quality, and business alignment

  • Collaborate cross-functionally with Commercial Strategy, Marketing, Field Operations, and Executive Leadership to frame problems as scalable modeling solutions

  • Influence platform and tooling decisions, with a focus on Azure-based infrastructure, Palantir Foundry, and CRM integration (Salesforce)

  • Stay ahead of industry trends and bring innovative methodologies into Azurity’s data science toolkit—especially in GenAI, personalization, and intelligent automation


Qualifications

  • Advanced degree (PhD or MS) in a quantitative field such as Statistics, Data Science, Computer Science, Applied Mathematics, Physics, Engineering, or a related STEM discipline

  • 7+ years of applied experience in data science, advanced analytics, machine learning or AI roles, including experience in the pharmaceutical or life sciences industry or commercial analytics is strongly preferred

  • Demonstrated expertise in:

  • Causal inference, uplift modeling, and experimental design, Bayesian methods, un-/supervised learning etc.

  • Machine learning techniques (tree-based models, ensembles, neural nets, etc.)

  • Python, PySpark, SQL, Git, and data workflow tools (DBT, Airflow, etc.)

  • Experience with modern data platforms such as Snowflake, Palantir Foundry, or equivalent

  • Proven ability to translate complex modeling outputs into actionable business insights

  • Deep familiarity with Azure cloud services for model development and deployment

  • Experience integrating and modeling with CRM and sales data (e.g., Salesforce)

  • Strong communication and stakeholder management skills, with experience influencing non-technical audiences and strong presentation skills


Required Skills

  • Experience defining and executing strategic analytics roadmaps across commercial functions

  • Prior management or team leadership experience, including mentoring, hiring, and developing data scientists

  • Background in AI/ML-driven forecasting, resource optimization, and business impact modeling

  • Familiarity with marketing technology, personalization systems, recommender engines, and ROI modeling

  • Experience with GenAI, prompt engineering, RAG, and autonomous/agentic systems or multi-ai agent systems for commercial use

  • Knowledge of Reinforcement Learning (RL) and sequential decision-making frameworks


Pay range and compensation package

Unlock Your Earning Potential: Join our team and be rewarded with a competitive compensation package, including an annual bonus based on company performance, that recognizes your exceptional talent.



  • Sales - In lieu of annual bonuses, we offer an Incentive compensation program that allows you to earn more - even over plan.

  • Fuel Your Success: *Sales Only* - We understand the value of your hard work and provide a car reimbursement program and gas card for both business and personal use as part of our commitment to supporting you.


Equal Opportunity Statement

Azurity Pharmaceuticals is proud to be an inclusive workplace and an Equal Opportunity Employer. We are committed to diversity and inclusivity.


Benefits We Offer

  • Comprehensive Health Coverage: We value your well-being and offer excellent medical, dental, vision, and prescription coverage to ensure you and your family are always taken care of.

  • Flexibility for Your Lifestyle: Achieve work-life


Seniority level

Director


Employment type

Full-time


Industries

Pharmaceutical Manufacturing

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