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Data Processing Jobs in Delaware (NOW HIRING)

Identify data quality issues, inconsistencies, or gaps in existing reporting processes and recommend improvements * Partner with business stakeholders to understand reporting needs and translate them ...

Designs data modeling processes to create algorithms and predictive models. Performs custom analysis. Uses modelling to drive business results with data-based insights and tests the effectiveness of ...

Experience building scalable data processing and Big Data/ETL pipelines (e.g., Hortonworks, AWS-based solutions) * Working knowledge of core infrastructure (routers, load balancers, compute, storage ...

Data Architect

Wilmington, DE · On-site

$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 ...

Build and optimize data ingestion, transformation, and processing frameworks for large-scale datasets. * Develop cloud-native data solutions utilizing AWS services such as S3, Lambda, SQS, and RDS.

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 ...

Experience with business process needs analysis and requirements gathering * Experience with JAD ... Reconcile data and explain variances as necessary. * Meet with requestors to gather requirements ...

Showing results 41-60

Data Processing information

See Delaware salary details

$12

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$34

How much do data processing jobs pay per hour?

As of Sep 13, 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 is data processing?

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.

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.

What are the key skills and qualifications needed to thrive in data processing, 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 do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

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 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:

Infographic showing various Data Processing job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $42,189 per year, or $20.3 per hour.

Databricks Engineer c2c jobs Location: Wilmington, DE

Wilmington, DE • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Position: Sr. Databricks Engineer (PySpark and Data Lake) Location: Wilmington, DE – 5 Days onsite role Long Term Project

In-person interview – Good with Delaware Local Or Non Local Candidates Any Visa

Overview

We are seeking a Data Engineer to lead the modernization of legacy ETL systems by migrating Ab Initio workflows to scalable, modular PySpark pipelines on Databricks. The role involves transforming complex data ecosystems into cloud-native architectures while ensuring data integrity, performance, and reliability.

ETL Modernization & Development
  • Analyze and migrate legacy ETL workflows from Ab Initio to PySpark-based pipelines
  • Design and develop scalable data pipelines on Databricks
  • Refactor monolithic processes into modular, reusable components
  • Leverage existing enterprise datasets to avoid redundancy
Data Integration & Processing
  • Build and maintain ETL/ELT pipelines integrating data from Snowflake and other sources
  • Process and publish enriched datasets for downstream applications
  • Support batch and near real-time data processing
Data Lineage & Optimization
  • Create end-to-end data lineage and data flow diagrams
  • Identify redundancies and drive process consolidation and optimization
  • Ensure adherence to data governance and quality standards
Testing & Validation
  • Develop unit, integration, and reconciliation frameworks
  • Perform dual-run comparisons with legacy systems
  • Validate outputs in UAT and pre-production environments
Deployment & Operations
  • Support cutover and migration strategy from legacy systems
  • Decommission legacy workflows and optimize scheduling (e.g., Control-M)
  • Develop runbooks, monitoring, and operational documentation
Collaboration
  • Work with data architects, analysts, and downstream application teams
  • Coordinate user acceptance testing (UAT/FAT) and stakeholder sign-offs
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