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

GEI Consultants

Data Engineer

Cary, NC

$107K - $128K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

GEI Consultants

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Kimley-Horn

Data Engineer

Raleigh, NC

$111K - $133K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Kimley-Horn

Data Engineer

Raleigh, NC

$111K - $133K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Envestnet, Inc.

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

For a deeper look at how Envestnet is shaping the future of financial advice, visit www.envestnet.com. The Team You'll Join The Lead Data Engineer will play a critical implementation role on the Data ...

Envestnet

Lead Data Engineer

Raleigh, NC

$111K - $133K/yr

... financial advice, visit www.envestnet.com.      The Team You'll Join   The Lead Data Engineer will play a critical implementation role on the Data Engineering and Data Services team and ...

Envestnet

Lead Data Engineer

Raleigh, NC

$111K - $133K/yr

... financial advice, visit www.envestnet.com.      The Team You'll Join   The Lead Data Engineer will play a critical implementation role on the Data Engineering and Data Services team and ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and ... Experience within Financial Services, Banking, or other highly regulated industries. * Familiarity ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

... financial services industry. Or, alternatively, Master's degree in Applied Computer Science ... Data Engineer (or closely related occupation) designing, building and maintaining data pipelines ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

... financial services industry. Or, alternatively, Master's degree in Applied Computer Science ... Data Engineer (or closely related occupation) designing, building and maintaining data pipelines ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site

$99K - $131K/yr

... financial advice, visit www.envestnet.com.      The Team You'll Join   The Lead Data Engineer will play a critical implementation role on the Data Engineering and Data Services team and ...

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Showing results 1-20

All JobsData Engineer Finance JobsData Engineer Finance Jobs in Raleigh, NC

Data Engineer Finance information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do data engineer finance jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data engineer finance 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 does a data engineer in finance do?

A Data Engineer in Finance is responsible for designing, building, and maintaining data pipelines and architectures that support the collection, storage, and analysis of financial data. They ensure that financial institutions have reliable access to accurate and timely data for analytics, reporting, and regulatory compliance. Their work often involves integrating data from multiple sources, optimizing data workflows, and collaborating with data scientists and analysts to deliver actionable insights. Data Engineers in Finance play a crucial role in enabling data-driven decision-making while ensuring data security and integrity.

What are the key skills and qualifications needed to thrive as a data engineer in finance?

To thrive as a Data Engineer in Finance, you need expertise in data modeling, ETL processes, and a strong foundation in SQL, Python, or Scala, often supported by a degree in computer science, information systems, or a related field. Familiarity with financial data platforms, cloud services (like AWS or Azure), and tools such as Apache Spark, Hadoop, and relevant data security certifications is common. Collaboration, attention to detail, and strong problem-solving skills are standout soft skills for this role. These abilities ensure reliable data pipelines, compliance with financial regulations, and actionable insights that support critical business decisions.

How does a data engineer in finance typically collaborate with analysts and other stakeholders to ensure data reliability and compliance?

Data Engineers in Finance work closely with data analysts, business intelligence teams, and compliance officers to design pipelines that deliver accurate, timely, and compliant data. Regular communication is essential to understand reporting requirements, data quality standards, and regulatory constraints. They often participate in cross-functional meetings to prioritize tasks, resolve data discrepancies, and implement controls that meet both business and legal needs. This collaboration ensures that data products not only support decision-making but also adhere to financial industry regulations.

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

AspectData Engineer FinanceData Analyst Finance
Primary RoleBuilds and maintains data pipelines, infrastructure, and databases for financial dataAnalyzes financial data to generate reports and insights
Skills & CertificationsSQL, Python, ETL tools, cloud platforms, data modelingExcel, SQL, data visualization tools, basic scripting
Work EnvironmentData engineering teams, IT departments, cloud environmentsFinance teams, business units, reporting platforms
Industry UsageUsed across financial institutions for data infrastructureUsed for financial reporting and decision-making

Data Engineer Finance focuses on creating and managing the data infrastructure necessary for financial data processing, while Data Analyst Finance interprets this data to provide actionable insights. Both roles are essential in financial organizations but serve different functions within the data ecosystem.

What are popular job titles related to Data Engineer Finance jobs in Raleigh, NC?

For Data Engineer Finance jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Data Engineer Finance jobs in Raleigh, NC look for?

The top searched job categories for Data Engineer Finance jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Engineer Finance jobs?

Cities near Raleigh, NC with the most Data Engineer Finance job openings:

Data Engineer Finance jobs near you
Infographic showing various Data Engineer Finance job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Data Engineer

GEI Consultants

Cary, NC

$107K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

285th of 450 rated engineering

Job description

Description

Your role at GEI. 
 
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
 
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
 
Essential Responsibilities & Duties 
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications 
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 – $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
x 
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
x 
 
Standing
 
x 
 
 
Walking
x 
 
 
 
Climbing
 
 
 

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