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Data Engineer Gcp Data Engineer Jobs in Ohio (NOW HIRING)

HSO Group B.V.

Data Engineer

Macedonia, OH · Hybrid

$103K - $124K/yr

At HSO, we're looking for a proactive and skilled Data Engineer to join our growing team. In this role, you'll design, build, and optimize modern data platforms that enable organizations to unlock ...

ComResource

Data Engineer

Cincinnati, OH

$109K - $131K/yr

ComResource is looking for a Data Engineer. We need someone to assist in calculating FDIC insurance at the customer and bank levels using traditional and modern data engineering tools. This role ...

LDSS Corp

Data Engineer

Dayton, OH

$120K - $135K/yr

We are seeking a skilled, customer-focused Data Engineer with experience in Databricks, Apache Spark, Python, AWS, Microsoft 365, and SharePoint. Ideal candidates will have a solid grasp of supply ...

Smart Data

2245 Data Engineer III

Cincinnati, OH

$109K - $132K/yr

Data Engineer III Location: Cincinnati, OH Years of Experience: 5+ TOP SKILLS: Must Have * 4+ years of Snowflake * Business Intellgience - Data Engineering * Data Build Tool (DBT) for Development ...

Forhyre

OH

$110K - $132K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based ...

Vertiv Co

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... GCP) * Understanding of emerging technologies (such as Generative AI) and advanced data ...

Smart Data

Senior Data Engineer

Cincinnati, OH

$101K - $138K/yr

Sr. Data Engineer for Cincinnati OH Will work on the projects from inception to end using Azure cloud technologies like PySpark, Spark SQL, Azure Data Lake Storage, Azure Data Factory, Azure SQL ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

Flexjet

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

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Vertiv Group Corp.

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... GCP) * Understanding of emerging technologies (such as Generative AI) and advanced data ...

Flexjet

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

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Further

Senior Data Engineer

Cleveland, OH · Hybrid

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... Advanced knowledge of cloud-native data suites within GCP (preferred), AWS, or Azure. * Proficiency ...

campus4tech

Azure Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Data Engineer Contract: 12 Months (potential for conversion/extension) Job Location: Cincinnati, OH (3 days' on-site required) Note: Relocation will work for this role. Candidate have to relocate at ...

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Pay Range: $55/hr - $60/hr Requirement/Must Have: * 7+ years of experience in Data Engineering or related roles. * Strong hands-on experience with Snowflake (SnowSQL, Snowpipe, Streams, Tasks, Data ...

giftHEALTH Inc

Data Engineer II

Columbus, OH · On-site

$123K - $148K/yr

Position Summary We are seeking a Data Engineer II to build and maintain the pipelines, models, and orchestration jobs that power Gifthealth's analytics and client reporting. This position plays a ...

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All JobsData Engineer Gcp Data Engineer JobsData Engineer Gcp Data Engineer Jobs in Ohio

Data Engineer Gcp Data Engineer information

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

What are the key skills and qualifications needed to thrive as a GCP data engineer?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.
What are popular job titles related to Data Engineer Gcp Data Engineer jobs in Ohio? For Data Engineer Gcp Data Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Engineer Gcp Data Engineer jobs in Ohio look for? The top searched job categories for Data Engineer Gcp Data Engineer jobs in Ohio are:
What cities in Ohio are hiring for Data Engineer Gcp Data Engineer jobs? Cities in Ohio with the most Data Engineer Gcp Data Engineer job openings:
Data Engineer Gcp Data Engineer jobs near you
Infographic showing various Data Engineer Gcp Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

HSO Group B.V.

Macedonia, OH • Hybrid

$103K - $124K/yr

Full-time

Medical, PTO

Posted 7 days ago

Job description

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

About HSO 

At HSO, we're more than a global IT consultancy, we're 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. 

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 deep expertise in Dynamics 365, the Azure cloud platform, Data & AI, and our own industry-specific solutions. 

Key Responsibilities 

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

Requirements 

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

What We Offer 

  • Competitive Compensation & Bonus aligned with your experience and performance. 
  • Private Healthcare Insurance to support your well-being. 
  • Flexible Hybrid Work Model for better work-life balance. 
  • Global Exposure: Collaborate with international teams on large-scale projects for leading corporations. 
  • Learning & Development: 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. 
  • Sports Subscription: Stay active with a Sportmaster subscription. 
  • Vacation Days: Recharge and unwind with 23 days of paid vacation. 
  • Career Growth Opportunities: Develop your expertise within a global Microsoft partner and collaborate with experienced professionals across international teams. 
  • Cutting-Edge Technology: Work with Microsoft Fabric, Azure Data Factory, AI-powered tools, and modern data engineering practices to deliver impactful solutions. 
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