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

Senior Systems Engineer

Raleigh, NC · On-site +1

$101K - $139K/yr

... data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools ... engineering, experimentation, model training/deployment, RAG pipeline development, prompt ...

Snowflake Data Architect

Raleigh, NC · On-site

$62 - $79.75/hr

... engineering, reconciliation frameworks, metadata management, lineage, and governance. • Experience with ETL/ELT tools such as dbt, Informatica, Matillion, Fivetran, or similar data integration ...

Senior Analytics Engineer

Raleigh, NC · On-site

$93K - $120K/yr

Overview Join Avison Young's Data Architecture team as a Senior Analytics Engineer, where you will own and scale our analytics layer in Snowflake using dbt. This is a hands-on leadership role focused ...

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Senior Forward Deployed Engineer- AWS

Raleigh, NC · On-site

$101K - $139K/yr

... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation Experience withMLOps ...

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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 Jul 10, 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.

Is dbt in demand?

Yes, dbt Data Engineers are in demand as organizations increasingly adopt modern data transformation tools to improve data workflows. Skills in SQL, data modeling, and familiarity with cloud platforms enhance job prospects in this field.

What engineer makes $500,000 a year?

Highly experienced data engineers, including those working with advanced big data tools like Apache Spark and cloud platforms, can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles at large tech companies. Achieving this level typically requires extensive expertise, certifications, and a strong track record in data architecture and engineering.

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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large-scale data pipelines, cloud platforms, and data integration tools. Skills in SQL, Python, and cloud services like AWS or Azure enhance job prospects in this field.

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 are Dbt Data Engineers?

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.

Do data engineers use dbt?

Data engineers often use dbt (data build tool) to transform and model data within data warehouses. It is a popular tool for managing data pipelines, enabling version control, testing, and documentation, which are key responsibilities of data engineers.

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 are popular job titles related to Dbt Data Engineer jobs in Raleigh, NC? For Dbt Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
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 July 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

AVP, Software Engineering - Enterprise Reporting and Data (Hybrid - Hartford/Jersey City/Raleigh)

Archgroup

Raleigh, NC • On-site

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Job Summary

The Assistant Vice President of Enterprise Reporting and Data leads enterprise reporting and data strategy across critical functions, including data engineering, data governance, agentic AI, business intelligence and reporting, actuarial data support, and specialized areas such as Ceded Reinsurance. This role owns end-to-end data and reporting platforms, ensuring scalable architecture, efficient operations, and business-aligned delivery across agile teams and vendor partners. The AVP also drives cross-functional collaboration, business value, compliance, and modernization across the data ecosystem, including Snowflake, Azure services, Databricks, Sigma, Python, Airflow, Collibra, Stibo, and Power BI.

In addition, the role is responsible for leading delivery, governance, and operational oversight across key enterprise data platform capabilities, including Data Stores, Cortex, Data Security, MDM, RDM, Data Lineage, and Data Catalog. The AVP will provide leadership across Agile execution and solution architecture while ensuring strong platform design governance, scalability, and standardization. A core expectation is maintaining close proximity to delivery, actively guiding engineering teams and course-correcting execution when needed. The role partners directly with SVP-level stakeholders to drive requirement alignment, negotiation, and business outcomes rather than operating as an order-taker. It also plays a key role in advancing AI-enabled reporting and modernization efforts across the AINA data ecosystem while ensuring operational stability and compliance.

Responsibilities

Strategic Leadership & Governance

  • Set the vision and strategy for data initiatives across key product teams, including Enterprise Reporting, Ceded Reinsurance, and Actuarial IT.
  • Partner with senior business stakeholders to align data initiatives with enterprise goals.
  • Lead cross-functional agile teams to deliver high-quality data products and platforms that create business value.

Data Platform Oversight

  • Lead the roadmap, architecture, and lifecycle management of enterprise data platforms, including Snowflake-based data lakes, data warehouses, and Azure pipelines.
  • Ensure reliable development, deployment, and support of ETL/ELT frameworks using tools such as Snowflake, DBT, Databricks, Python, Qlik, Airflow, and ADF.

Business Intelligence & Reporting

  • Lead strategy and development for Sigma, Power BI, SSRS, and dashboarding solutions.
  • Partner with business teams to deliver actionable insights, self-service reporting, and financial and statutory reporting support.

Enterprise Data & Reporting Support

  • Provide strategic and technical leadership for teams supporting enterprise reporting and data, actuarial modeling, reserving data flows, and ceded reinsurance data provisioning.
  • Ensure timely, accurate, and audit-ready data for reporting platforms, actuarial processes, and reinsurance calculations and reporting.

Program Management & Delivery

  • Lead multiple delivery teams across the U.S. and offshore locations, maintaining sprint velocity and roadmap execution.
  • Ensure delivery complies with SOX, SOC 2, and NYDFS requirements.
  • Manage vendor relationships, contract negotiations, and budget planning.

Innovation, Modernization & Quality

  • Promote modern agentic AI, DevOps, CI/CD, Git, and orchestration practices across data engineering and reporting pipelines.
  • Drive innovation in AI/ML, data observability, and self-service capabilities to improve business outcomes.
  • Ensure strong documentation, test coverage, and audit trails across data processes and platforms.

Skills & Experience

  • 12+ years of experience in data platforms, data engineering, and business intelligence.
  • 7+ years of leadership experience managing multidisciplinary teams across data engineering, reporting, actuarial data, or reinsurance.
  • Strong experience in insurance (P&C), finance, actuarial, or risk domains is highly preferred.
  • Deep knowledge of cloud technologies, especially Azure and Snowflake, with familiarity in Power BI, SSIS, and SSRS.
  • Must demonstrate strong proximity to delivery (not just oversight), including ability to review code, guide engineering teams on "how to build," and step in to course-correct technical execution when needed.
  • Proven experience engaging directly with SVP-level stakeholders to drive and negotiate requirements, with accountability for outcomes rather than operating as a downstream delivery partner.
  • Working, hands-on proficiency in Python within data engineering contexts, with the ability to apply it in pipelines or guide teams in its practical use (not just theoretical exposure)
  • Experience with regulatory compliance and audit standards, including SOX, SOC 2, and NYDFS.
  • Proven success leading large-scale data transformation programs and cross-functional delivery teams.
  • Ability to mentor senior managers, architects, and subject matter experts, with strong stakeholder management and influencing skills.
  • Demonstrated experience building data capabilities and tools to support analytics, research, and actuarial functions in an insurance environment.
  • Strong proficiency in SQL, Python, or similar programming languages.
  • Experience with orchestration tools such as Airflow.
  • Experience with cloud platforms and tools such as Snowflake and Databricks.
  • Ability to work independently while managing priorities and collaborating across teams.
  • Excellent collaboration and relationship-building skills.
  • Comfort with ambiguity and the ability to break complex problems into manageable steps.
  • Strong analytical skills and the ability to derive insights from data.
  • Strong problem-solving and critical-thinking skills.
  • Excellent verbal and written communication skills, with the ability to tailor messages for technical and non-technical audiences, including senior executives.
  • Flexibility to adapt to changing priorities and requirements.
  • Ability to lead and mentor mid-level and junior team members in delivering high-quality solutions to complex business challenges.
  • Curiosity and creativity in exploring modern technologies and new data sources.
  • Ability to document data sources and technical solutions effectively.
  • Ability to balance competing priorities across portfolios and resources.
  • Ability to build strong partnerships across the organization to support strategic goals.
  • Commitment to continuously improving team capabilities and workflows.

Education

  • Master's or Bachelor's degree in computer science, data science, or a related field is required.

#LI-Hybrid
#LI-ZP1

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

For Jersey City: $148,400 - $230,322/year

For Hartford: $133,500 - $207,289/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

14400 Arch Insurance Group Inc.