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Data Engineering Jobs in Raleigh, NC (NOW HIRING)

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 ...

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 ...

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

EDUCATION & EXPERIENCE Bachelor's degree in Computer Science, Information Systems, Data Engineering ... Software Engineering, or a related field, or equivalent professional experience. 4+ years of ...

Senior Manager, Data Engineering

Raleigh, NC · On-site +1

$140K - $155K/yr

Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI developers -Establishdelivery standards, performance expectations, and career development ...

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual ...

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual ...

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual ...

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 ... Follow established engineering standards, development practices, documentation requirements, and ...

New

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 ... Follow established engineering standards, development practices, documentation requirements, and ...

New

Data Engineer II

Raleigh, NC · On-site

$111K - $133K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and ... Follow established engineering standards, development practices, documentation requirements, and ...

Data Engineer

Raleigh, NC

$111K - $133K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

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Showing results 1-20

Data Engineering information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do data engineering jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data engineering in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Raleigh, NC? The most popular types of Data Engineering jobs in Raleigh, NC are:
What are popular job titles related to Data Engineering jobs in Raleigh, NC? For Data Engineering jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Raleigh, NC look for? The top searched job categories for Data Engineering jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Engineering jobs? Cities near Raleigh, NC with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Raleigh, NC as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $160,411 per year, or $77.1 per hour.
Director, Data Engineering

Director, Data Engineering

Fidelity Investments

Durham, NC • On-site

Full-time

Posted 2 days ago


Fidelity Investments rating

8.8

Company rating: 8.8 out of 10

Based on 269 frontline employees who took The Breakroom Quiz

9th of 150 rated financial services


Job description

Job Description:

Position Description:

Note: Fidelity will not provide immigration sponsorship for this position.

Provides technology and functional leadership and expertise in solutioning Security Exchange Commission (SEC) Regulatory Fund and Aggregate monitoring rules for compliance monitoring. Solutions various data and data warehousing needs for Investment Compliance Engine (ICE). Oversees junior developers by providing guidance and supervising the requirement analysis, design, and end-to-end delivery process, including reviewing designs, data models, and developed code. Manages Agile teams, conducts agile ceremonies, and backlog grooming sessions to help with estimation and planning. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions by developing complex, multi-faceted data solutions. Researches and recommends new technologies in support of the strategic direction of the business unit and participates in the research and recommendation of appropriate models, methods, tools, and technologies to achieve business-unit-wide solutions.

Primary Responsibilities:

  • Translates and incorporates business vision and strategy to architectural strategy.
  • Participates in business and technology fusion sessions with product teams on new requirements for monitoring rules.
  • Identifies potential gaps in the current operation models and design component enhancements.
  • Identifies functional gaps and technical challenges, and works with compliance technology teams, architecture, and product owners to propose solutions.
  • Serves as a technical lead on core engine module enhancements for initiatives.
  • Sets best engineering practices in database code development and Agile process.
  • Identifies and consults with internal and external technical resources to produce cross-company strategic designs.
  • Consults on development and delivery of major technology initiatives for the business unit.
  • Consults on deployment of major project deliverables.
  • Consults on the documentation of major technology applications.
  • Initiates and drives project or strategy discussions with users or external groups to resolve issues.
  • Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
  • Advises senior management on technical strategy.
  • Researches and recommends new technologies.
  • Regularly provides guidance, training, and coaching to other team members for performance and career development.
  • Identifies and plans for future resource needs.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Engineering (or closely related occupation) designing, developing and implementing information technology solutions in a financial services, operations, and product development environment.

Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Engineering (or closely related occupation) designing, developing and implementing information technology solutions in a financial services, operations, and product development environment.

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise ("DE") identifying and performing analysis and design of highly scalable and performant investment compliance monitoring systems, leveraging data for the implementation of Fund Monitoring (FM), Aggregate Monitoring (AM), and Limit Analysis (LA) tests during Time-Of-Trade (ToT) and as part of End-Of-Day (EOD) batch cycle, using Oracle, Informatica, and Kafka; and performing analysis of investment compliance needs (Fund of Fund (FoF) explosion and derivatives look-through), using Oracle tools.
  • DE building system architecture designs and developing solutions for application data storage, using Oracle technologies; performing data warehousing using Informatica, Oracle tools, and Information barriers; creating and customizing data quality frameworks as per compliance monitoring needs, using Oracle Enterprise Data Quality (EDQ); providing data protection for data structures using Oracle tools and Security Assertion Markup Language (SAML) Single Sign-On (SSO) frameworks; performing performance tuning and optimization using Oracle tools; and performing shell scripting and scheduling using Autosys.
  • DE provisioning Cloud infrastructure components -- Elastic MapReduce (EMR), Elastic Compute Cloud (EC2), Elastic Kubernetes Service (EKS), Relational Database Service (RDS), and Elastic Load Balancer setup -- for data analysis, reporting, and consumption on Cloud, using Amazon Web Services (AWS), AWS Lambda server-less computing, Cloud formation, and CI/CD tools (Jenkins and GitHub).
  • DE performing Aerospike caching to improve real-time compliance and check performance improvement, using Oracle; and designing and developing real-time ingestion pipes into Snowflake, using Snowflake analytics.

#PE1M2

#LI-DNI

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

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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