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Data Processing Jobs in Delaware (NOW HIRING)

Java Developer

Wilmington, DE

$49.50 - $64/hr

Senior Java Data Engineer (AWS) Job Overview We are looking for a Senior Java Data Engineer with strong experience building and supporting large-scale batch data processing systems on AWS . This role ...

... usage data reports. 6. . Presents data to Director and divisional leadership clearly and with ... Manages vendor relationships as related to Sterile Processing Department daily operations. 13.

Data Scientist

Greenwood, DE · On-site

$100K - $118K/yr

Identify valuable data sources and automate collection processes. * Undertake preprocessing of structured and unstructured data. * Analyze large amounts of information to discover trends and patterns.

Data Scientist

Greenwood, DE · On-site

$100K - $118K/yr

Identify valuable data sources and automate collection processes. * Undertake preprocessing of structured and unstructured data. * Analyze large amounts of information to discover trends and patterns.

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Data Processing information

See Delaware salary details

$12

$20

$34

How much do data processing jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for data processing in Delaware is $20.28, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

Is a data processor a good job?

A data processing job involves organizing, inputting, and managing data using tools like spreadsheets and database software. It can offer steady employment and requires attention to detail, but may have repetitive tasks and limited advancement opportunities depending on the organization. Overall, it can be a suitable entry-level role for those interested in data management.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

How can I make 2000 a week working from home?

Data processing jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $2000 or more weekly by taking on multiple projects or clients. To reach this income level, strong skills in data entry, analysis, or software tools are essential, along with efficient time management and possibly certification. Building a reliable client base and working consistently are key factors in achieving higher weekly earnings from home.

How much does data processing make?

Data processing jobs typically pay between $35,000 and $70,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in data management and software tools can earn higher salaries.
What are the most commonly searched types of Data Processing jobs in Delaware? The most popular types of Data Processing jobs in Delaware are:
What are popular job titles related to Data Processing jobs in Delaware? For Data Processing jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Delaware look for? The top searched job categories for Data Processing jobs in Delaware are:
Distinguished Data Engineer- Bank Tech

Distinguished Data Engineer- Bank Tech

Capital One

Wilmington, DE • On-site

$111K - $133K/yr

Full-time

Posted 3 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks


Job description

Distinguished Data Engineer- Bank Tech

Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.

Horzianal, Bank data organization to accelerate data modernization across the bank by defining, building, and operating on a unified, resilient, and compliant Enterprise Data Platforms. Enable bank domains to produce and leverage modern data for a modern bank. The position focused on setting the technical vision, prototyping and driving the most complex data domain data architecture for the banking domains. In addition, partner closely with enterprise teams to develop highly resilient data platforms.

  • Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices

  • Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates

  • Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community

  • Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities

Responsibilities:

  • Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in

  • Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team

  • Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible

  • Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization

  • Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner

  • Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent

Basic Qualifications:

  • Bachelor's Degree

  • At least 7 years of experience in data engineering

  • At least 3 years of experience in data architecture

  • At least 2 years of experience building applications in AWS

Preferred Qualifications:

  • Masters' Degree

  • 9+ years of experience in data engineering

  • 3+ years of data modeling experience

  • 2+ years of experience with ontology standards for defining a domain

  • 2+ years of experience using Python, SQL or Scala

  • 1+ year of experience deploying machine learning models

  • 3+ years of experience implementing big data processing solutions on AWS

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $269,100 - $307,200 for Distinguished Data Engineer


Philadelphia, PA: $244,700 - $279,200 for Distinguished Data Engineer


Richmond, VA: $244,700 - $279,200 for Distinguished Data Engineer


Wilmington, DE: $244,700 - $279,200 for Distinguished Data Engineer








Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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