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

Data Analytics Engineer

Durham, NC · On-site

$110K - $132K/yr

Job Overview Skanska is searching for a dynamic Data Analytics Engineer. This is a great ... Compensation and financial well-being - Competitive base salary, excellent bonus program, 401k ...

... data entry, and email-driven coordination. * Develop business-process automations across functions such as engineering, NPI, operations, quality, supply chain, finance, and commercial teams. * Build ...

Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

AI Engineer

Cary, NC

$110K - $150K/yr

Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented ... Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses

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Showing results 1-20

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 Jul 9, 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.

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 the key skills and qualifications needed to thrive as a Data Engineer in Finance, and why are they important?

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.
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 cities near Raleigh, NC are hiring for Data Engineer Finance jobs? Cities near Raleigh, NC with the most Data Engineer Finance job openings:
Infographic showing various Data Engineer Finance job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.
Senior Software Engineer - Varicent SPM Platform

Senior Software Engineer - Varicent SPM Platform

First-Citizens Bank & Trust Company

Raleigh, NC • On-site

$119K - $157K/yr

Other

Posted 6 days ago

New


First Citizens Bank rating

7.5

Company rating: 7.5 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

89th of 146 rated banks


Job description

Overview
This is a remote role that may only be hired in the following location(s): AZ, NC and TX.
Seeking a highly skilled Senior Software Engineer with deep expertise in Varicent Sales Performance Management (SPM), data integration, and enterprise banking systems. The role will be responsible for designing, developing, supporting, and optimizing incentive compensation solutions on the Varicent platform while integrating data from Snowflake, core banking systems, and other enterprise applications. This role is ideal for a senior engineer who can serve as a technical lead for the Varicent platform while driving enterprise data integration across Snowflake and core banking ecosystems.
Responsibilities
  • Design, develop, implement, and support Varicent SPM/ICM solutions for sales compensation, incentive management, and performance reporting.
  • Translate business requirements into scalable Varicent data models, calculations, workflows, and reporting solutions.
  • Configure and maintain Varicent objects including data tables, calculations, imports, exports, workflows, and dashboards.
  • Develop and optimize complex compensation calculations, commission plans, quota management, and incentive processing.
  • Build and maintain robust data integration pipelines between Varicent, Snowflake, and enterprise applications.
  • Integrate data from core banking systems, HR systems, Loan Accounting and other upstream/downstream applications.
  • Design and implement ETL/ELT processes to support compensation and performance management data requirements.
  • Partner with business stakeholders, compensation teams, data engineers, and technology teams to ensure accurate and timely data delivery.
  • Perform data reconciliation, validation, and troubleshooting to ensure compensation accuracy and audit compliance.
  • Develop automated monitoring, exception handling, and operational support processes.
  • Optimize system performance, scalability, and data processing efficiency within Varicent and Snowflake environments.
  • Support monthly, quarterly, and annual compensation cycles including production deployments and issue resolution.
  • Create technical design documentation, data mapping specifications, support procedures, and operational runbooks.
  • Participate in system upgrades, platform enhancements, testing, and release management activities.
  • Ensure adherence to banking security, governance, compliance, and data privacy standards

Qualifications
Bachelor's Degree and 4 years of experience in Software application development and maintenance OR High School Diploma or GED and 8 years of experience in Software application development and maintenance
  • Hands-on experience implementing and supporting Varicent SPM/ Incentive Compensation Management (ICM) solutions
  • Strong experience with Varicent calculation development, data modeling, Composer, Web Forms, and reporting
  • Strong experience with Snowflake Data Cloud, including data modeling, performance tuning, and SQL development
  • Experience integrating Varicent with core banking platforms and enterprise financial systems
  • Strong SQL development and data analysis skills
  • Experience with ETL/ELT tools and enterprise data integration frameworks
  • Knowledge of incentive compensation management, sales performance management, and commission processing
  • Experience with API integrations, file-based interfaces, and data orchestration solutions
  • Strong troubleshooting, analytical, and problem-solving skills
  • Experience working in Agile/Scrum development environments

Preferred Qualifications
  • Experience in the banking or financial services industry.
  • Knowledge of retail banking, commercial banking, lending, deposits, and customer relationship data domains
  • Experience with data governance, audit controls, and regulatory compliance requirements
  • Varicent certifications or implementation experience preferred
  • Familiarity with DevOps, CI/CD pipelines, and release automation processes

Preferred Certifications
  • Varicent Certified Professional (VCP) or equivalent Varicent platform certification.
  • SnowPro Core Certification (Snowflake).
  • SnowPro Advanced Certifications (Data Engineer, Architect, or Administrator preferred).
  • AWS Certified Solutions Architect
  • Databricks Data Engineer Associate/Professional

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at
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