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Data Processing Jobs in Delaware (NOW HIRING)

Prophecy Technologies

Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

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 ...

Winaxis LLC

Data Analyst

Lewes, DE · On-site +1

Your analytical skills will be put to the test as you uncover patterns, trends, and correlations within the data to help optimize processes and improve overall business performance. This position ...

Arka Infotech Inc

Data Architect

Wilmington, DE

$61.75 - $79.50/hr

... and processes around data modeling and architecture to cross functional groups and senior levels - Ability to influence multiple levels on highly technical issues and challenges - Demonstrated ...

M&T Bank

Software Engineer II

Wilmington, DE · On-site

$154K - $164K/yr

Using PySpark which is a Spark programming language for data processing; * Using CA Automic as a scheduling tool to schedule jobs and workflows and monitor the daily runs of jobs and workflows;

M&T Bank

Software Engineer II

Wilmington, DE · On-site

$154K - $164K/yr

Using PySpark which is a Spark programming language for data processing; * Using CA Automic as a scheduling tool to schedule jobs and workflows and monitor the daily runs of jobs and workflows;

ECCLESIASTES INC

Data Analyst

Newark, DE · Remote

... process needs analysis and requirements gathering Experience with JAD sessions and performing ... Reconciles data and develops exexplanationsf variances as necessary. Meets with requestors to get ...

Dlapiper

Data Engineer

Wilmington, DE

$111K - $133K/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 ...

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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:
Data Processing jobs near you

Data Engineer

Prophecy Technologies

Wilmington, DE • On-site

$111K - $133K/yr

Full-time

Posted 5 days ago

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.

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