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Data Engineer Jobs in Delaware (NOW HIRING)

Pittsburgh International Airport

$59.75 - $76.75/hr

Collaborate closely with the data analysts,datasciencespecialists, and IoT engineers to understand and fulfill data requirements. * Continuallymaintain,optimize, and innovate upon existing data ...

Athena LLC

Collaborate closely with data science, product, and engineering teams to integrate models into production systems. * Present findings through clear reports, visualizations, or dashboards that inform ...

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All JobsData Engineer JobsData Engineer Jobs in Delaware

Data Engineer information

See Delaware salary details

$44.5K

$129.8K

$177.7K

How much do data engineer jobs pay per year?

As of Jul 10, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 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.

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Delaware? The most popular types of Data Engineer jobs in Delaware are:
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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:
Data Engineer jobs near you
AIA BFS - Senior Spark Developer

AIA BFS - Senior Spark Developer

Avani Technology Solutions, Inc.

Wilmington, DE • On-site

Contractor

Re-posted 19 days ago

Job description

SENIOR SPARK DEVELOPER Good experience in Bigdata concepts - Good understanding of Hadoop cluster with all included services ability to solve any ongoing issues- Good operating knowledge in with Hadoop and Spark Eco System - Good knowledge on Spark job optimization and strong programming skills in SQL. Good knowledge of Big Data querying tools with Spark Experience with integration of data from multiple data sources with Spark Experience with integration of data from multiple data sources. Experience with No500 Chars Experience: 5to8yrs Required Skills Technical Skills- Apache Spark SparkSQL Domain Skills- Nice to have skills Techincal Skills- Scala Domain Skills- Day SHIFT Roles & Responsibilities Sr. Developer Bachelors in science engineering or equivalent.Understand requirements build codes support testing and fix defects guide developers in the course of development activities in order to develop high standard stable codes within the limits of Cognizant and clients processes standards and guidelines..Project Planning and Set-up- Understand the project scope identify activities/ tasks task level estimates schedule dependencies risks and provide inputs to Module Lead for review Provide inputs to testing strategy configuration deployment hardware/software requirement etc. Review plan and provide feedback on gaps timeline and execution feasibility etc. as required in the project Participate in KT sessions conducted by customer/ other business teams and provide feedback on requirements Requirement Understanding and Analysis- Analyze functional/non functional requirements and seek clarifications for better understanding of requirements Based on understanding of system - upstream & downstream provide feedback and inputs on gaps in requirements and technical feasibility of requirements Design- Prepare the LLD/ detailed design documents based on HLD and briefing from Module Lead Seek inputs from the developers on specific modules as applicable Consolidate all modules and provide to Module Lead/ Architects/ Designers for review Suggest changes in design on technical grounds Develop components inventory for the code to be developed tying it to the non-functional requirements Perform sampling of data to understand the character/ quality of the data (project dependent- in the absence of data analyst or designer) Identify tools and technologies to be used in the project as well as reusable objects that could be customized for the project Coding- Follow coding standards and best practices to develop code and check code quality Share developed code with supervisor for review Rework on the code based on inputs if required Perform complex 9.Job Location Primary: USDEWIMC01-Wilmington - DE USA CLT
Hours : 8:00am to 5:00pm
Education :
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