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

Qualifications Minimum qualifications Solid software engineer with excellent analytical and troubleshooting skills. 4+ years of experience building production large scale big data applications.

Senior Data Platform Engineer Overview We are seeking a Senior Data Platform Engineer to join a ... solutions that support omnichannel engagement and advanced analytics. The ideal candidate is ...

Data Engineer

Raleigh, NC

$111.30K - $133.70K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

... 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 ...

Big Data Solution Engineer

Durham, NC · On-site

$53.75 - $71.25/hr

Qualifications Minimum qualifications • Solid software engineer with excellent analytical and troubleshooting skills. • 4+ years of experience building production large scale big data ...

AI Data Engineer Senior Consultant

Raleigh, NC · On-site

$111.30K - $133.70K/yr

Responsibilities : • Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product requirements into technical designs and delivered solutions, including ...

Data Engineer II

Raleigh, NC · On-site

$143.25K - $187.07K/yr

Identify, document, and communicate technical risks, issues and alternative solutions discovered ... ETL Developer, or related occupation. Or a Master's degree in Computer Science, Information ...

Data Engineer III

Raleigh, NC · On-site

$111.30K - $133.70K/yr

You will also partner closely with cross-functional teams to deliver data solutions that support ... Familiarity with CI/CD pipelines, DevOps practices, and automated testing frameworks. * Exposure to ...

Data Engineer III

Raleigh, NC

$111.30K - $133.70K/yr

You will also partner closely with cross-functional teams to deliver data solutions that support ... Familiarity with CI/CD pipelines, DevOps practices, and automated testing frameworks. * Exposure to ...

... 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 II

Raleigh, NC · Remote

$143.25K - $187.07K/yr

Identify, document, and communicate technical risks, issues and alternative solutions discovered ... ETL Developer, or related occupation. Or a Master's degree in Computer Science, Information ...

Data Engineer II

Raleigh, NC · Remote

$143.25K - $187.07K/yr

Identify, document, and communicate technical risks, issues and alternative solutions discovered ... ETL Developer, or related occupation. Or a Master's degree in Computer Science, Information ...

... 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 ...

Summary The AI Solutions Engineer is an embedded partner to the Professional Excellence (PE ... SQL (data validation, reporting, requirements traceability); Python (automation scripts, data ...

Data Engineer

Cary, NC

$106.10K - $127.40K/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

Durham, NC · On-site +1

$60 - $65/hr

Support DevOps practices for CI/CD and containerized deployments where applicable. Experience ... solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and ...

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Data Solutions Developer information

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.

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 a Data Solutions Developer?

A Data Solutions Developer is a professional who designs, builds, and maintains systems that help organizations manage, process, and analyze large sets of data. They use various programming languages, databases, and data integration tools to create solutions that enable businesses to extract valuable insights from their data. This role often involves working closely with data analysts, data scientists, and other IT professionals to ensure data is accessible, reliable, and secure. Data Solutions Developers play a key role in helping organizations make data-driven decisions by developing custom applications, automating data workflows, and integrating data from multiple sources.

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 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 cities near Raleigh, NC are hiring for Data Solutions Developer jobs? Cities near Raleigh, NC with the most Data Solutions Developer job openings:

Big Data Solution Engineer

Summitworks

Durham, NC • On-site

Full-time

Posted 28 days ago


Job description

Job Description

Responsibilities

Architect and develop Big Data applications for fortune 100 companies around the globe.

Design and build data processing pipelines for structured and unstructured data using tools and frameworks in the Hadoop ecosystem.

Implement and configure tools for Hadoop based data lake implementations and Proof of concepts.

Need to travel to client side when required.

Qualifications

Minimum qualifications

Solid software engineer with excellent analytical and troubleshooting skills.

4+ years of experience building production large scale big data applications.

Proficiency in a programming language, ideally Scala, Python, or Java.

Experience with big data technologies like Spark, Hive, or Impala.

Excellent communication skills with clients and internal engineering teams.

Eager to learn new technologies.

Additional Information


Preferred qualifications

Experience with Spark, SQL, Scala, Python, Java, Shell scripting.

Understanding of Data Integrations and ETL projects.

will be kept confidential according to EEO guidelines.