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Data Engineer Gcp Data Engineer Jobs in Delaware

GCP Cloud Engineer

Wilmington, DE · On-site

$54 - $72.25/hr

Please email the resume to varma@hermitageinfotech.com We have a new GCP Cloud Engineer opening with our client in Wilmington, DE - MUST be onsite for hybrid 3 days/week (that is the challenge)

GCP Cloud Engineer

Wilmington, DE · Hybrid

$54 - $72.25/hr

Please email the resume to varma@hermitageinfotech.com We have a new GCP Cloud Engineer opening with our client in Wilmington, DE - MUST be onsite for hybrid 3 days/week (that is the challenge)

Solid-line management of AI Data Engineers deployed into pods. * Leads a team responsible for designing, developing, and implementing modular data models, data pipelines, and data management ...

Collaborate closely with data science, product, and engineering teams to integrate models into ... Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake)

Collaborate closely with data science, product, and engineering teams to integrate models into ... Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake)

Product Data Scientist

Wilmington, DE · On-site

$85K - $100K/yr

Bachelor's degree in Statistics, Mathematics, Operational Research, Computer Science/Engineering, Data Science or other quantitative major. Masters or PhD is preferred * 3+ years' experience ...

Product Data Scientist

Wilmington, DE · On-site

$85K - $100K/yr

Bachelor's degree in Statistics, Mathematics, Operational Research, Computer Science/Engineering, Data Science or other quantitative major. Masters or PhD is preferred * 3+ years' experience ...

Bachelor's degree in Statistics, Mathematics, Operational Research, Computer Science/Engineering, Data Science or other quantitative major. Masters or PhD is preferred * 3+ years' experience ...

Pyspark Developer

Wilmington, DE · On-site

$51.50 - $66.75/hr

Designing building installing configuring and supporting Hadoop Perform analysis of vast data ... Collaborate with the data engineering team to continuously improve data integration pipelines ...

Showing results 41-60

Data Engineer Gcp Data Engineer information

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 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 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 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 popular job titles related to Data Engineer Gcp Data Engineer jobs in Delaware?

For Data Engineer Gcp Data Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Data Engineer Gcp Data Engineer jobs in Delaware look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in Delaware are:

What cities in Delaware are hiring for Data Engineer Gcp Data Engineer jobs?

Cities in Delaware with the most Data Engineer Gcp Data Engineer job openings:

Infographic showing various Data Engineer Gcp Data Engineer job openings in Delaware 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.

$110 - $170/hr

Other

Posted 15 days ago


International Flavors & Fragrances rating

8.2

Company rating: 8.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

88th of 540 rated manufacturers


Job description

## AI & Data ScientistApplyremote type: On-sitelocations: Wilmington, DE, USAtime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 31, 2026 (30+ days left to apply)job requisition id: R20094**Job Summary**Are you passionate about using AI, data science and digital innovation to transform quality operations and accelerate scientific decision-making?IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences. We deliver sustainable innovations that elevate everyday products.**Health & Biosciences:** Channeling our passion for nature and bioscience into sustainable, life-enhancing technologies that power innovative solutions across healthcare, food, consumer and industrial markets.The role is based in **Wilmington, Delaware, United States (on-site role)**. Be part of a collaborative, innovative and solution-oriented team where together we can achieve greatness and make a real impact. Your potential is our inspiration.## Where You’ll Make a Difference* Structure, harmonize and manage data across Global Technical Quality systems, including Laboratory Information Management Systems (LIMS), SAP, SharePoint and other digital platforms.* Develop and implement data science, machine learning and artificial intelligence solutions that enhance quality processes and scientific decision-making.* Build and maintain scalable data pipelines supporting structured and unstructured laboratory, manufacturing and technical datasets.* Design and deploy AI-enabled tools, intelligent agents and automated workflows that improve productivity and streamline technical operations.* Perform statistical analyses to identify trends, deviations and opportunities for continuous improvement across quality systems.* Partner closely with Research & Development, Manufacturing, Regulatory Affairs and Global Quality Assurance teams to advance data-driven quality best practices.* Contribute to the continuous improvement of digital infrastructure, data architecture and Global Technical Quality workflows.* Ensure data integrity, regulatory compliance and alignment with quality standards and expectations.* Communicate technical findings, recommendations and business insights clearly to cross-functional stakeholders.## What Makes You the Right Fit* Bachelor’s degree in Data Science, Computer Science, Data Engineering, Bioinformatics, Biochemistry, Biotechnology, Engineering or a related field.* At least five years of experience in data science, analytics, data engineering or digital transformation roles.* Strong expertise in data architecture, data modeling and modern data science methodologies.* Advanced proficiency in Python, SQL and data integration, transformation and automation tools.* Experience designing, developing and maintaining enterprise data pipelines for structured and unstructured data sources.* Hands-on experience with artificial intelligence, machine learning, generative AI and intelligent agent development.* Strong statistical analysis, data visualization and problem-solving capabilities.* Experience with enterprise platforms such as LIMS, SAP, SharePoint and Microsoft 365 tools.* Demonstrated ability to learn new business domains quickly, understand how data is stored and used, and identify opportunities to increase productivity through data-driven solutions.## How Would You Stand Out?* Master’s or Ph.D degree in Data Science, Artificial Intelligence, Applied Analytics, Data Engineering or a related discipline.* Experience working with biotechnology, biochemistry, scientific research or laboratory environments.* Proven track record developing AI-enabled solutions such as Microsoft Copilot experiences, knowledge bases, agentic workflows and automation platforms.## Why Choose Us?* Opportunity to work on innovative AI and data science initiatives that directly impact global quality operations.* Exposure to diverse scientific, laboratory and manufacturing datasets across a global organization.* Collaboration with experts across Research & Development, Quality, Manufacturing and Digital Technology teams worldwide.* Continuous learning and professional development opportunities in emerging technologies, artificial intelligence and data science.* Inclusive workplace that values diverse perspectives, curiosity and innovation.* Ability to help shape the future of AI-enabled quality excellence across Health & Biosciences.We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability. #J-18808-Ljbffr

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