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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.

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements. * Knowledge of security best practices for data solutions ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/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 ...

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 ...

... 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 ...

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 ...

New

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 ...

New

Data Engineer III

Raleigh, NC · On-site

$111K - $133K/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

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 - Senior Manager

Raleigh, NC · On-site

$124K - $280K/yr

... 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 CD o Containerization: Kubernetes, Docker o Data Tools:

... 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 ...

Lead Data Engineer

Raleigh, NC · Remote

$117K - $140K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform, building scalable data pipelines and robust Snowflake-based solutions. Working closely with cross ...

New

Data Engineer - Manager

Raleigh, NC · On-site

$99K - $232K/yr

... 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 ...

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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, builds, and maintains data systems and applications to help organizations manage and analyze data effectively. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create scalable data solutions.

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 is the hardest field in it?

In the role of Data Solutions Developer, the most challenging fields often involve complex data integration, advanced analytics, and ensuring data security. These areas require strong technical skills, knowledge of programming languages like Python or SQL, and familiarity with cloud platforms. Staying updated with evolving technologies and certifications can also be demanding.

What is the highest paying job in data?

The highest paying roles in data typically include Data Science Directors, Chief Data Officers, and senior Data Architects, with salaries often exceeding $150,000 annually. These positions require advanced skills in data management, analytics, and leadership, and often demand extensive experience and relevant certifications.
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