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Data Quality Developer Jobs in Delaware (NOW HIRING)

... data profiling, data quality, catalog tools * 7 years of experience working in enterprise data ... programming SQL or Python * 5 years of experience mentoring another technologist 5 years of ...

Product Quality Engineer 1

Newark, DE Β· On-site

$54K - $86K/yr

Provide product quality engineering support for on-market medical devices. This role will be ... Perform data analysis and trending of data related to complaints and identified failure modes ...

Product Quality Engineer 1

Newark, DE Β· On-site

$54K - $86K/yr

Provide product quality engineering support for on-market medical devices. This role will be ... Perform data analysis and trending of data related to complaints and identified failure modes ...

Product Quality Engineer 2

Newark, DE Β· On-site

$78K - $122K/yr

Provide product quality engineering support for on-market medical devices. This role will be ... Perform data analysis and trending of data related to complaints and identified failure modes ...

Product Quality Engineer 2

Newark, DE Β· On-site

$78K - $122K/yr

Provide product quality engineering support for on-market medical devices. This role will be ... Perform data analysis and trending of data related to complaints and identified failure modes ...

Product Quality Engineer 1

Newark, DE Β· On-site

$54K - $86K/yr

Provide product quality engineering support for on-market medical devices. This role will be ... Perform data analysis and trending of data related to complaints and identified failure modes ...

Product Quality Engineer 3

Newark, DE Β· On-site

$85K - $133K/yr

Lead complaint prioritization and investigations based on product risk, data trends, and business ... Partner with Quality, Operations, Engineering, R&D, Regulatory, and Manufacturing teams to ...

Showing results 41-60

Data Quality Developer information

What is a data quality developer?

A Data Quality Developer is an IT professional responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes, tools, and scripts to identify and resolve data quality issues such as duplicates, missing values, or inconsistencies. Their role often involves collaborating with data engineers, analysts, and business stakeholders to define data quality requirements and standards. Additionally, Data Quality Developers monitor data pipelines, perform data profiling, and create automated tests to maintain high data integrity over time.

What are the key skills and qualifications needed to thrive as a data quality developer?

A Data Quality Developer should have strong skills in data analysis, database management, and data profiling, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, SQL, data quality platforms (like Informatica or Talend), and relevant certifications are often required. Attention to detail, problem-solving, and effective communication are crucial soft skills for collaborating with diverse teams and resolving data issues. These abilities ensure the delivery of accurate, reliable data that supports business decision-making and operational efficiency.

What are some common challenges data quality developers face when working with large datasets, and how can they overcome them?

Data Quality Developers often encounter challenges such as inconsistent data formats, missing values, and integration issues when working with large datasets from multiple sources. To overcome these, they typically implement automated validation rules, build robust data profiling scripts, and work closely with data engineers and business analysts to understand data requirements. Regular communication with stakeholders and adopting best practices for data governance can also help ensure data accuracy and reliability across the organization.

What is the difference between Data Quality Developer vs Data Analyst?

AspectData Quality DeveloperData Analyst
Primary FocusEnsuring data accuracy, consistency, and integrity through data quality processes and toolsAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsData management, SQL, data profiling, data governance certificationsData analysis, SQL, Excel, visualization tools, statistical knowledge
Work EnvironmentData management teams, IT departments, data warehousesBusiness units, marketing, finance, operations
Common UsageFocuses on data quality standards and improvementsFocuses on data insights and reporting

While both roles work with data, Data Quality Developers concentrate on maintaining high data standards and integrity, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps organizations assign the right responsibilities and skills to each role.

What cities in Delaware are hiring for Data Quality Developer jobs?

Cities in Delaware with the most Data Quality Developer job openings:

Informatica ETL Developer

Newark, DE β€’ On-site

Full-time

Re-posted 18 days ago


Job description

Position Qualifications:
 
  • Bachelor's Degree from an accredited university in Computer Science, Engineering or in a Technology related field, OR equivalent through a combination of education and/or technology experience, OR 12 years of technology experience
  • 7 years of experience identifying technical solutions for complex business problems, identifying the benefits and risks of the solutions and providing recommendations
  • 7 years of experience in Technology, Data Engineering field in architecting, developing end-to-end scalable data applications and data pipelines; work with product manager and scrum masters and lead the team in assisting the story creations and sprint deliverables
  • 7 years of experience leading and developing automated Informatica data pipelines with at least 4 years Informatica cloud (IICS) and relevant knowledge in data profiling, data quality, catalog tools
  • 7 years of experience working in enterprise data warehouse solutions and platforms, and working knowledge of different databases (e.g., RDBMS, Snowflake), S3 Datalake, CICD, Jenkins and AWS cloud technologies
  • 5 years of experience designing, implementing automated data solutions using Snowflake lakehouse; building workflows, developing, and scheduling ETL processes using programming SQL or Python
  • 5 years of experience mentoring another technologist 5 years of experience implementing data solutions by adopting, recommending and improving CICD, change management, data security, auditing processes
  • 4 years of experience working with software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes and testing AWS or Informatica or Snowflake certification is preferred Experience with Dataiku is a plus.