ZipRecruiter

Log In

1

Data Validation Jobs in Delaware (NOW HIRING)

Photon

Lead Data Engineer | Onsite - Delaware

Wilmington, DE · On-site

$111K - $133K/yr

Drive delivery of data change detection (CDC) and the data validation/quality testing framework. * Own "contract as code" governance: data schema management via CI/CD and Git-based data governance

Photon

Lead Data Engineer | Onsite - Delaware

Wilmington, DE · On-site

$111K - $133K/yr

Drive delivery of data change detection (CDC) and the data validation/quality testing framework. * Own "contract as code" governance: data schema management via CI/CD and Git-based data governance

Citigroup Inc.

Data Quality Lead Analyst

Wilmington, DE · On-site

$140.15 - $145.80/hr

... validation using relational databases and SQL; identifying data quality issues, their root causes, and developing, and documenting effective solutions to maintain data integrity; navigating ...

Citigroup, Inc.

Data Quality Lead Analyst

Wilmington, DE · On-site

$140K - $145K/yr

Performing data profiling, data analysis, and data validation using relational databases and SQL; Identifying data quality issues, their root causes, and developing, and documenting effective ...

Info Way Solutions

Camunda Developer

Wilmington, DE · On-site

... for data validation and troubleshooting. • Work closely with front-end technologies such as React (as applicable) Qualifications : Required : • Minimum 8+ years of experience in application ...

Agilent

Data Governance & Quality Engineer

Wilmington, DE · On-site +1

$124K - $194K/yr

Use SQL, Snowflake, Power BI, and related tools to analyze data, validate governance controls, and support quality and metadata monitoring activities. * Collaborate with Data Architecture, Data ...

next page

Showing results 1-20

All JobsData Validation JobsData Validation Jobs in Delaware

Data Validation information

See Delaware salary details

$22

$52

$78

How much do data validation jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data validation in Delaware is $52.04, according to ZipRecruiter salary data. Most workers in this role earn between $39.47 and $63.27 per hour, depending on experience, location, and employer.

What is a data validation?

A Data Validation job involves reviewing, cleaning, and verifying data to ensure accuracy, consistency, and reliability. Professionals in this role check for errors, inconsistencies, and missing information using automated tools and manual techniques. They work with databases, spreadsheets, and software applications to maintain data integrity, often collaborating with analysts and engineers. Their work is critical for making informed business decisions and maintaining regulatory compliance.

What does a data validation do?

A Data Validation professional typically spends their day reviewing large datasets, identifying inconsistencies or errors, and ensuring that all data meets established quality standards. This may involve developing and running automated scripts, maintaining data validation rules, and collaborating with data engineers or analysts to resolve data-related issues. The role often requires documenting validation processes and findings to support transparency and future audits. You can expect to work both independently and as part of a larger data or QA team, making your contributions vital to maintaining reliable business information.

What are the key skills and qualifications needed to thrive in data validation, and why are they important?

To thrive in Data Validation, a strong attention to detail, analytical thinking, and experience with data management or quality assurance processes are essential, often supported by a degree in information technology, statistics, or a related field. Familiarity with database software (such as SQL), spreadsheet tools (like Excel), and data validation or ETL (Extract, Transform, Load) systems, along with relevant certifications, is highly beneficial. Strong problem-solving skills, effective communication, and the ability to work both independently and collaboratively help individuals excel in this role. These skills ensure the accuracy and integrity of organizational data, supporting informed decision-making and operational efficiency.

What is the work of data validation?

Data validation is a key responsibility in data validation roles, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. It often requires knowledge of data management tools and techniques to identify errors and prevent incorrect data from entering systems, supporting data quality and integrity.

What are the most commonly searched types of Data Validation jobs in Delaware?

The most popular types of Data Validation jobs in Delaware are:

What are popular job titles related to Data Validation jobs in Delaware?

For Data Validation jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Data Validation jobs in Delaware look for?

The top searched job categories for Data Validation jobs in Delaware are:

Data Validation jobs near you
Infographic showing various Data Validation 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 $108,245 per year, or $52 per hour.

Lead Data Engineer | Onsite - Delaware

Photon

Wilmington, DE • On-site

$111K - $133K/yr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

Key Responsibilities 

  • Own delivery of relational and canonical data models and the organization's MDM (master data management) strategy. 
  • Set standards for advanced SQL usage and appropriate use of NoSQL patterns where relational modeling doesn't fit. 
  • Define schema-first data contract design using JSON Schema/Avro/Protobuf. 
  • Drive rollout of the data catalog and enforce PII classification and data-regulation compliance across pipelines. 
  • Own delivery of the Snowflake/enterprise data warehouse and data pipelines between ODS and warehouse. 
  • Drive delivery of data change detection (CDC) and the data validation/quality testing framework. 
  • Own "contract as code" governance: data schema management via CI/CD and Git-based data governance. 
  • Select and stand up appropriate AWS data services for the platform. 
  • Run day-to-day delivery of the offshore team: sprint commitments, code/design review, real-time unblocking, and hands-on work on critical-path pipelines. 
  • Report delivery status, risks, and blockers to engineering leadership. 

Must-Have Qualifications 

  • 8+ years in data engineering, with 3+ years as a tech lead owning end-to-end delivery (not a pure design/review architect role). 
  • Proven track record of shipping data platforms on committed timelines, including hands-on troubleshooting under delivery pressure. 
  • Deep expertise in relational and canonical data modeling and MDM design. 
  • Expert-level SQL and solid understanding of when NoSQL patterns are appropriate. 
  • Proven experience designing schema-first data contracts (JSON Schema/Avro/Protobuf). 
  • Experience architecting data catalog tooling and PII classification/data regulation compliance (critical given financial-services context). 
  • Strong hands-on architecture experience with Snowflake or an equivalent enterprise data warehouse. 
  • Proven design of data pipelines between operational data stores and the warehouse. 
  • Experience architecting change-data-capture and data validation/quality frameworks. 
  • Demonstrated experience implementing "contract as code" - schema management via CI/CD, Git-based governance. 
  • Solid knowledge of relevant AWS data services (e.g., RDS, Redshift, Glue, DMS, Lake Formation). 
  • Financial-services or similarly regulated-industry data governance experience is strongly preferred. 
  • Strong stakeholder communication; able to directly manage day-to-day delivery of an offshore team (standups, unblocking, sprint accountability). 

Nice-to-Have Qualifications 

  • Experience with specific data catalog tools (e.g., Collibra, Alation, AWS Glue Data Catalog). 
  • Exposure to multiple warehouse platforms beyond Snowflake. 
  • Experience building data-quality frameworks with tools like Great Expectations or dbt tests. 
  • Relevant certifications (Snowflake SnowPro, AWS Data Analytics Specialty). 

Compensation, Benefits and Duration

Minimum Compensation: USD 56,000
Maximum Compensation: USD 196,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

Apply