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Data Solutions Developer Jobs in Raleigh, NC (NOW HIRING)

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Builds automation pipelines using DevOps concepts and Continuous Integration and Continuous ... Designs and builds Extract, Transact, and Load (ETL) solutions while incorporating TEST automation ...

... solutions. * Experience supporting machine learning, predictive analytics, or AI-enabled systems. * Familiarity with Kubernetes, Docker, Infrastructure as Code, and modern DevOps practices.

... robust data solutions for clients. They play a crucial role in transforming raw data into ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Solutions Engineer, Remote

Durham, NC · On-site

$120K - $140K/yr

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... solutions engineering, sales engineering, or similar role. * Proficiency in SQL and Python is ...

AI Solutions Engineer

Raleigh, NC · On-site

$121K - $173K/yr

Build and support data ingestion pipelines, API integrations, agent frameworks, and evaluation ... or solutions engineering. * Hands-on experience with LLM pipelines and workflows as well as ...

Build and support data ingestion pipelines, API integrations, agent frameworks, and evaluation ... or solutions engineering. * Hands-on experience with LLM pipelines and workflows as well as ...

Build and support data ingestion pipelines, API integrations, agent frameworks, and evaluation ... or solutions engineering. * Hands-on experience with LLM pipelines and workflows as well as ...

The Relay platform captures 1 billion new data points weekly and features award-winning AI tools ... The Solutions Engineering team is the technical cornerstone of Relay's Enterprise sales motion. We ...

The Relay platform captures 1 billion new data points weekly and features award-winning AI tools ... The Solutions Engineering team is the technical cornerstone of Relay's Enterprise sales motion. We ...

... engineering focus on leveraging advanced technologies and techniques to design and develop ... robust data solutions for clients. They play a crucial role in transforming raw data into ...

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... GitLab, Azure DevOps, Terraform, Argo CDo Containerization: Kubernetes, Dockero Data Tools: Pyspark ...

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... GitLab, Azure DevOps, Terraform, Argo CD o Containerization: Kubernetes, Docker o Data Tools:

... engineering focus on leveraging advanced technologies and techniques to design and develop ... robust data solutions for clients. They play a crucial role in transforming raw data into ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... and data transformation solutions. As a Senior Associate, you will build meaningful client ...

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... data transformation solutions. As a Manager, you will lead teams and manage client accounts ...

Principal Data Modeler

Durham, NC · On-site +1

$53 - $68.50/hr

Collaborates with solution architects, data engineers, and business stakeholders to design models that support scalability, interoperability, and compliance. * Defines and leads enterprise-level data ...

Principal Data Modeler

Durham, NC · On-site

$53 - $68.50/hr

Collaborates with solution architects, data engineers, and business stakeholders to design models that support scalability, interoperability, and compliance. * Defines and leads enterprise-level data ...

Location: Our Solutions Engineer, SELECT by DoiT, will be an integral part of our Solutions ... We combine data, technology, and human expertise to ensure our customers operate in a well ...

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Showing results 1-20

Data Solutions Developer information

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What are the key skills and qualifications needed to thrive as a Data Solutions Developer, and why are they important?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

What is a data solutions developer?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows.

What does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large amounts of data. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL (Extract, Transform, Load) processes to ensure data is accessible and reliable for analysis and decision-making.

Which IT job is the highest paid?

Chief Information Officers (CIOs) and Chief Technology Officers (CTOs) are among the highest-paid IT roles, often earning six-figure salaries or more due to their leadership responsibilities and strategic influence. Specialized roles such as solutions architects, cloud engineers, and cybersecurity executives also command high compensation, especially with advanced certifications and extensive experience.

What is the highest paying job in data?

In data-related fields, chief data officers and data executives typically earn the highest salaries, often exceeding six figures annually. Senior roles such as data architects, machine learning engineers, and data science directors also command high compensation, especially with advanced skills in analytics, programming, and cloud platforms.
What are popular job titles related to Data Solutions Developer jobs in Raleigh, NC? For Data Solutions Developer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Solutions Developer jobs in Raleigh, NC look for? The top searched job categories for Data Solutions Developer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Solutions Developer jobs? Cities near Raleigh, NC with the most Data Solutions Developer job openings:
Infographic showing various Data Solutions Developer job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.
Principal Data Engineer

Principal Data Engineer

Fidelity Investments

Durham, NC • On-site

$110K - $132K/yr

Full-time

Re-posted 5 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 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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