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Data Solutions Developer Jobs in Kent, OH (NOW HIRING)

Data Engineer

Macedonia, OH ยท Hybrid

$103K - $124K/yr

Design, develop, and maintain scalable data solutions using Microsoft Fabric, Azure Data Factory ... Experience with Git, CI/CD pipelines, and DevOps practices. * Experience using AI-assisted ...

Engineer

Cleveland, OH ยท On-site

$100K - $120K/yr

Skill: Sr Data Engineering Architect Fraud Domain Must Have Technical/Functional Skills: * Define ... based data solutions. * Partner with Fraud, Risk, Compliance, and Business teams to deliver ...

... robust data solutions for clients. They play a crucial role in transforming raw data into ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

... 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 ...

... 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 ...

... 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 ...

Sr Databricks Data Engineer

Cleveland, OH ยท On-site

$111K - $133K/yr

This role offers the opportunity to deliver enterprise-scale Databricks solutions that improve ... Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ...

... 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 Developer

Akron, OH ยท Hybrid

$56.50 - $74/hr

Lead AFH Data Lake & Integration Solution Delivery Delivering solutions: * Lead the design ... Drive adoption of DevOps, CI/CD, Infrastructure as Code, and cloud engineering best practices.

Posted today

IIOT Solutions Engineer

Richfield, OH ยท On-site

$205K - $266K/yr

As an IIoT Solutions Engineer for our Global Enterprise segment, you will serve as the technical ... Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect ...

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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?

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 does a data solutions developer do?

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. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.
What are popular job titles related to Data Solutions Developer jobs in Kent, OH? For Data Solutions Developer jobs in Kent, OH, the most frequently searched job titles are:
What job categories do people searching Data Solutions Developer jobs in Kent, OH look for? The top searched job categories for Data Solutions Developer jobs in Kent, OH are:
Infographic showing various Data Solutions Developer job openings in Kent, OH as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Engineer

HSO Group B.V.

Macedonia, OH โ€ข Hybrid

$103K - $124K/yr

Other

Medical, PTO

Posted 5 days ago


Job description

At HSO,ย we'reย looking for a proactive and skilledย Data Engineerย to join our growing team. In this role,ย you'llย design, build, andย optimizeย modern data platforms that enable organizations to unlock the full value of their data. Working with Microsoft Fabric, Azure technologies, and modern engineering practices,ย you'llย help deliver scalable, secure, and high-performing data solutions for our clients.ย 

About HSOย 

At HSO,ย we'reย more than a global ITย consultancy,ย we'reย a catalyst for innovation and growth. With over 2,800 professionals across 30+ countries, we help organizations transform their businesses through the power of Microsoft technologies.ย 

As a Microsoft Gold Certified Partner since 2002 and a proud member of the Microsoft Dynamics Inner Circle (top 1% of partners globally), we bring deepย expertiseย in Dynamics 365, the Azure cloud platform, Data & AI, and our own industry-specific solutions.ย 

Key Responsibilitiesย 

  • Design, develop, andย maintainย scalable data solutions using Microsoft Fabric, Azure Data Factory, and Azure technologies.ย 
  • Build,ย maintain, andย optimizeย data pipelines using Python,ย PySpark, SQL, Microsoft Fabric, and Azure Data Factory.ย 
  • Develop and support ETL/ELT processes, data integration workflows, and orchestration solutions.ย 
  • Work with structured and unstructured data from multiple sources.ย 
  • Implement andย maintainย data models that support reporting, analytics, and AI workloads.ย 
  • Ensure data quality, governance, security, and compliance across data platforms.ย 
  • Monitor, troubleshoot, andย optimizeย data pipelines, workflows, and platform performance.ย 
  • Collaborate with consultants, architects, and client stakeholders to deliver business-driven data solutions.ย 
  • Leverage AI-assisted development tools such as GitHub Copilot and Microsoft Copilot to improve productivity and code quality.ย 
  • Contribute to the continuous improvement of engineering standards, best practices, and technical documentation.ย 
  • Support CI/CD processes and automated deployment of data solutions.ย 

Requirementsย 

  • Bachelor's degree in Computer Science, Engineering, Information Technology, orย a relatedย field.ย 
  • 3+ years of experience in data engineering.ย 
  • Hands-on experience withย Microsoft Fabricย (required).ย 
  • Strong programming skills inย Pythonย andย PySpark.ย 
  • Strong knowledge ofย SQLย and data modelling principles.ย 
  • Experience designing and building modern data pipelines and ETL/ELT processes.ย 
  • Experience withย Azure Data Factory (ADF)ย and data integration solutions.ย 
  • Experience with Azure data technologies and cloud-based data platforms.ย 
  • Familiarity with Data Lake, Lakehouse, and Data Warehouse concepts.ย 
  • Experience with Git, CI/CD pipelines, and DevOps practices.ย 
  • Experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, or similar solutions.ย 
  • Strong analytical and problem-solving skills.ย 
  • Excellent communication skills and the ability to work in a collaborative, international environment.ย 

What We Offerย 

  • Competitive Compensation & Bonusย aligned with your experience and performance.ย 
  • Private Healthcare Insuranceย to support your well-being.ย 
  • Flexible Hybrid Work Modelย for better work-life balance.ย 
  • Global Exposure:ย Collaborate with international teams on large-scale projects for leading corporations.ย 
  • Learning & Development:ย Access Tech Updates sessions, team events, the Microsoft Learning Platform, free Microsoft certification exams, and tailored training programs to support your career and certification goals.ย 
  • Sports Subscription:ย Stay active with aย Sportmasterย subscription.ย 
  • Vacation Days:ย Recharge and unwind withย 23 daysย of paid vacation.ย 
  • Career Growth Opportunities:ย Develop yourย expertiseย within a global Microsoft partner and collaborate with experienced professionals across international teams.ย 
  • Cutting-Edgeย Technology:ย Work with Microsoft Fabric, Azure Data Factory, AI-powered tools, and modern data engineering practices to deliver impactful solutions.ย 
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