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Data Bi Engineer Jobs in Graham, NC (NOW HIRING)

Power BI * Python * Additional programming in Java, R Education: Degree or equivalent exp. Responsibilities: * Partner with product owners, product managers, data engineers, and business stakeholders ...

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Build and maintain executive-level dashboardsand semantic models in Power BI, ensuring seamless ... data engineering roles delivering enterprise-scale analytics solutions * 5 years of Cloud ...

Data Engineering Lead- Finance

Raleigh, NC · On-site

$111K - $133K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Familiarity with tools like Power BI for data visualization is a plus. * Experience working with or ...

Data Engineering Lead- Finance

Raleigh, NC · On-site

$111K - $133K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Familiarity with tools like Power BI for data visualization is a plus. * Experience working with or ...

Development of medium to complex solutions using Power BI or SQL Server Reporting Services (SSRS ... Experience with Python programming language * Document warehouses to support cross training of co ...

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Power BI. * Dominos. * Predictive Modeling. * ML-Ops. * Data Analysis. * Statistics. Qualification And Education: * Bachelor's or master's degree in computer science, Data Science, Engineering ...

Create, update, and support Power BI reports, datasets, and dashboard prototypes. * Build enterprise-ready data models, DAX measures, and accessible visualizations for reporting platforms and ...

Data Product Architect

Morrisville, NC · On-site

$59.75 - $76.75/hr

A minimum of five years of practical Power BI experience, covering semantic modeling, DAX ... Proficient in Git-based version control and Azure DevOps CI/CD methodologies for efficient code ...

Data Product Architect

Morrisville, NC · Hybrid

$59.75 - $76.75/hr

A minimum of five years of practical Power BI experience, covering semantic modeling, DAX ... Proficient in Git-based version control and Azure DevOps CI/CD methodologies for efficient code ...

Senior Data Scientist

Durham, NC · On-site

$90 - $120/hr

## Senior Data ScientistApplylocations: Research Triangle Park, NCtime type: Full timeposted on ... Programming -- strong Python and SQL with production-level coding experience.* Experience with BI ...

Showing results 41-60

Data Bi Engineer information

See Graham, NC salary details

$35.8K

$104.3K

$142.7K

How much do data bi engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data bi engineer in Graham, NC is $104,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $110,500.00 per year, depending on experience, location, and employer.

What is a Data BI engineer?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What are the key skills and qualifications needed to thrive as a Data BI engineer?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

How does a Data BI engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

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

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

What job categories do people searching Data Bi Engineer jobs in Graham, NC look for?

The top searched job categories for Data Bi Engineer jobs in Graham, NC are:

What cities near Graham, NC are hiring for Data Bi Engineer jobs?

Cities near Graham, NC with the most Data Bi Engineer job openings:

Infographic showing various Data Bi Engineer job openings in Graham, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $104,255 per year, or $50.1 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

This job post has expired 1 day ago. Applications are no longer accepted.


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.