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Data Engineer Jobs in Delaware (NOW HIRING)

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

We are seeking an experienced Data Engineer to join our team. The ideal candidate will have strong expertise in designing and implementing efficient and scalable data pipelines using Apache Spark ...

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

We are seeking an experienced Data Engineer to join our team. The ideal candidate will have strong expertise in designing and implementing efficient and scalable data pipelines using Apache Spark ...

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

Data Engineer Location: Union Beach, NJ - 07735 and Wilmington, DE - 19803 Job Overview: We are looking for a skilled Data Engineer with a strong background in AWS technologies to join our data team.

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/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 ...

Data Engineer

Wilmington, DE · On-site

$125K/yr

Data Engineer Location: Wilmington, DE (Local Profiles) Salary: $125K Annually Primary Skill Set: AWS, Java/Python and Big Data experience. Roles & Responsibility - Acquire and manage data from ...

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

Data Engineer Location: Wilmington, DE (Local Profiles) Salary : $ 125K Annually, Additional Job Details: Python and Snowflake is required with Experties level. Primary Skill Set : AWS, Java/Python ...

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

Data Engineer Location: McLean, VA, Richmond, VA, Wilmington, DE, and Boston (Need candidate to work onsite from any location, 3 days Hybrid) Java Full Stack (80% Backend and 20% Frontend) Primary ...

Data Engineer

Wilmington, DE · Hybrid

$111.10K - $133.40K/yr

Data Engineer Location: Wilmington, DE hybrid Client: Innova Description: Python, PySpark, AWS, Databricks around 5 years in total 2-3 years in Python, PySpark, AWS, Databricks 5+ years of ...

Data Engineer

Newark, DE · On-site

$112.30K - $134.90K/yr

Data Engineer Location: Newark, DE and Pennington, NJ (We can only consider candidates who are able to attend an onsite interview at any of the specified locations.) - 3x each week onsite We have an ...

Data Engineer USA

Wilmington, DE · Hybrid

$111.10K - $133.40K/yr

Data Engineer Role: Data Engineer Required legal status: Green Card, Green Card-EAD, US Citizen Location: Charlotte, NC (Hybrid work model) Job involves: * Extract, Transform, Load (ETL) operations

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

Data Engineer We are seeking a highly skilled Data Engineer with 6 to 9 years of experience to join our team as a Business Associate. The ideal candidate will have expertise in Snowflake, SQL, Python ...

Data Engineer (PySpark / AWS)

Wilmington, DE · On-site

$111.10K - $133.40K/yr

Data Engineer (PySpark / AWS) Location: Wilmington, DE - Onsite Type: Contract Job Overview We are seeking a highly skilled Data Engineer with strong expertise in PySpark, ETL pipelines, and AWS ...

DATA Engineer- W2

Newport, DE · On-site

$111K - $133.30K/yr

Data Engineer Wilmington DE- Nearby candidates (F2F required) Interview: 2 rounds of F2F interview W2 Candidates only- 5 days onsite Visa: USC/GC Video Interview Client: MY RECRUE /JPMC Must have:

DATA Engineer- W2

Wilmington, DE · On-site

$111.10K - $133.40K/yr

Data Engineer Wilmington DE- Nearby candidates (F2F required) Interview: 2 rounds of F2F interview W2 Candidates only- 5 days onsite Visa: USC/GC Video Interview Client: MY RECRUE /JPMC Must have:

AI & Data - Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

AI Data Engineer Location: Wilmington, DE Onsite Duration: 7 Months of Contract Must Have Skills: Ab Initio BRE/Express IT and/or Ab Initio development experience, Good to have: Exposure to AWS ...

Starburst Developer/ Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

... Data Engineer As a Starburst developer, you will be responsible for leveraging Starburst Enterprise platform to generate comprehensive analytics by integrating and analyzing various data sources like ...

AI & Data - Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

Job Summary : eTeam is a company seeking a Data Engineer to work on AI and Data projects. The role involves utilizing skills in Ab Initio development and may also involve exposure to AWS services and ...

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Data Engineer information

See Delaware salary details

$44.5K

$129.8K

$177.7K

How much do data engineer jobs pay per year?

As of May 28, 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 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.

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.

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 are Data Engineers?

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 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.

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 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 May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,828 per year, or $62.4 per hour.

$111.10K - $133.40K/yr

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Job description

Job Summary:
We are seeking an experienced Data Engineer to join our team. The ideal candidate will have strong expertise in designing and implementing efficient and scalable data pipelines using Apache Spark with Java, integrating data from diverse sources into data lakes (e.g., S3) and data warehouses (e.g., Redshift). This role offers an exciting opportunity to work on enterprise-level data engineering projects.
Key Responsibilities:
  • Design and develop efficient and scalable data pipelines using Apache Spark with Java, integrating data from diverse sources into data lakes (e.g., S3) and data warehouses (e.g., Redshift).
  • Leverage a range of AWS services for data storage, processing, and analytics, including but not limited to S3, Redshift, Glue, EMR, Lambda, Kinesis, and DynamoDB.
  • Optimize Spark applications and data pipelines for performance, cost-efficiency, and reliability, including tuning Spark configurations and utilizing appropriate AWS resources.
  • Design and implement data models for structured and unstructured data, and contribute to the overall data architecture strategy within an AWS environment.
  • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Implement monitoring solutions for data pipelines and infrastructure, and troubleshoot issues to ensure data quality and system stability.
  • Implement data security measures and adhere to data governance policies within the AWS ecosystem.
  • Create and maintain comprehensive documentation for data engineering processes, designs, and deployments.
Required Technical Skills:
  • Strong proficiency in Java, with experience in developing Spark applications.
  • In-depth knowledge and hands-on experience with Apache Spark, including Spark SQL, DataFrames, and RDDs.
  • Extensive experience with AWS services, particularly those related to data engineering (S3, Redshift, Glue, EMR, Kinesis, Lambda).
  • Experience with data warehousing concepts and technologies (e.g., Redshift, Snowflake), and building data lakes on S3.
  • Proficiency in SQL and experience with both relational and NoSQL databases.
  • Strong understanding and practical experience in designing and implementing ETLELT processes.
  • Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data issues.
Required Qualifications:
  • 8-10 years of experience in data engineering.
  • Relevant certification in data engineering or related field.
  • Bachelor's degree in Computer Science or related field.
Preferred Qualifications:
  • Experience with PySpark.
  • Strong communication and collaboration skills to work effectively within a team and with various stakeholders.