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

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

... platforms in a financial services environment using data warehouse and Data mart methodologies. Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology ...

Q2 Software, Inc.

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Our mission is simple: build strong and diverse communities through innovative financial technology ... Partner with product managers, data scientists, and engineers to translate fraud and risk ...

Q2

Data Engineer

Cary, NC

$106K - $127K/yr

Our mission is simple: build strong and diverse communities through innovative financial technology ... Partner with product managers, data scientists, and engineers to translate fraud and risk ...

DPR Construction

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 data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

DPR Construction

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 data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Compunnel

Data Engineer ETL

Durham, NC · On-site

$110K - $132K/yr

Experience working with financial services or FinTech data platforms. Passion for continuous learning and adopting modern data engineering best practices.

Kimley-Horn

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Overview Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in Raleigh ... Integrate data from key AEC systems-including project delivery, documents, financials, scheduling ...

Kimley-Horn

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Overview Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in Raleigh ... Integrate data from key AEC systems-including project delivery, documents, financials, scheduling ...

Troutman Pepper

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of enterprise data into the firm's finance applications, as well as creating validation reports ...

Fidelity Investments

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

... as a Senior Data Engineer (or closely related occupation) performing complex data analysis to ... related financial activities and the rules and regulations of numerous self-regulatory ...

Fidelity Investments

Senior Data Engineer

Durham, NC

$102K - $139K/yr

... as a Senior Data Engineer (or closely related occupation) performing complex data analysis to ... related financial activities and the rules and regulations of numerous self-regulatory ...

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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 Jul 8, 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 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 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.
Principal Data Engineer

Principal Data Engineer

Fidelity Investments

Durham, NC • On-site

$110K - $132K/yr

Full-time

Posted just now

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services

Job description


Position Description:
Builds automation pipelines using DevOps concepts and Continuous Integration and Continuous Delivery (CI/CD) tools -- Jenkins, Stash, Concourse, and Artifactory. Develops Oracle SQL and PL/SQL stored procedures for relational databases. Develops new web based applications within cloud environments - Snowflake and Amazon Web Services (AWS). Designs, builds, and maintains reporting platforms. Writes codes with object-oriented programming languages -- Python/Spark. Performs shell scripting and scheduling using programming languages -- Python and Spark. Works in Agile environment executing projects using Kanban and SCRUM. Works with analysts to create profiles and rules for data quality using Informatica Data Quality IDQ tools and Address doctor.
Primary Responsibilities:
  • Responsible for designing, developing, testing, deploying, maintaining and improving customer-facing software solutions.
  • Performs test automation frameworks and standard methodologies to build a reliable product.
  • Designs and builds Extract, Transact, and Load (ETL) solutions while incorporating TEST automation frameworks in highly scalable distributed data processing systems.
  • Delivers software in an Agile environment.
  • Develops and maintains databases using principles of Database Warehousing and Data mart concepts.
  • Confers with systems analysts and other software engineers/developers to design systems and to obtain information on project limitations and capabilities, performance requirements, and interfaces.
  • Develops and oversees software system testing and validation procedures, programming, and documentation.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Data Engineer (or closely related occupation) designing and developing highly scalable Business Intelligence (BI) and analytical solutions in on-premise and Cloud platforms in a financial services environment using data warehouse and Data mart methodologies.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Data Engineer (or closely related occupation) designing and developing highly scalable Business Intelligence (BI) and analytical solutions in on-premise and Cloud platforms in a financial services environment using data warehouse and Data mart methodologies.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") designing and developing data warehouse applications according to business user requirements, using AWS services, Docker Container, Snowflake, Informatica, Oracle, PL/SQL, and Control-M; maintaining Continuous Integration/Continuous Delivery (CI/CD) pipelines for application code using Jenkins, Jenkinscore, Terracore, bitbucket, Github, and Concourse; developing Unix shell scripts; and creating Control-M jobs to automate and schedule end-to-end processes.
  • DE developing real time Big Data solutions on Hadoop, using Hive/Impala, Kafka, Scala, Spark SQL, and Python to build highly scalable and data availability platform to the end user.
  • DE participating and implementing all aspects of the Software Development Lifecycle (SDLC) in delivering innovative solutions according to financial services standards, security requirements, software development best practices, and Agile methodologies; and utilizing Alation and Collibra to efficiently catalog, analyze and govern data assets, ensuring data quality, compliance and informed decision-making across the organization.
  • DE performing Test-Driven Development (TDD), using JUnit; conducting performance testing using JMeter; Data profiling, and Data mining; troubleshooting issues using Datadog for Observability; and creating stable and highly available solutions, using Service Level Objectives (SLO) and Service Level Indicators (SLI) concepts.

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Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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