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Data Engineer Jobs in Delaware (NOW HIRING)

Big Data Developer

Wilmington, DE · On-site

$51.50 - $66.75/hr

Big Data Developer Location: Wilmington, DE Duration: 6+ Months Contract Only US Citizens and GC holders Only !! Location For INTERVIEW: Princeton, NJ (In-person interview) Qualifications Must have ...

Data Scientist III - FCRM

Wilmington, DE · On-site

$96K - $155K/yr

Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract ...

Build and optimize data ingestion, transformation, and processing frameworks for large-scale ... Troubleshoot performance bottlenecks and implement best practices for scalable data engineering ...

New

Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract ...

Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract ...

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 ...

Product Data Scientist

Wilmington, DE · On-site

$85 - $100/hr

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 ...

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 information

See Delaware salary details

$44.5K

$129.8K

$177.7K

How much do data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data engineer in Delaware is $129,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $137,600.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Delaware?

The most popular types of Data Engineer jobs in Delaware are:

What are popular job titles related to Data Engineer jobs in Delaware?

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

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

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

What cities in Delaware are hiring for Data Engineer jobs?

Cities in Delaware with the most Data Engineer job openings:

What are popular job titles related to Data Engineer jobs in DE?

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

Infographic showing various Data Engineer job openings in Delaware as of August 2026, with employment types broken down into 73% Full Time, 20% Contract, and 7% Nights. Highlights an 100% In-person job distribution, with an average salary of $129,828 per year, or $62.4 per hour.

Full-time

Posted 21 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

89th of 542 rated manufacturers


Job description

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.
Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more

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