1

Data Quality Developer Jobs in Ohio (NOW HIRING)

Azure Data Engineer

Dublin, OH · On-site

$108K - $129K/yr

Azure Data Engineer (Microsoft Fabric) - Direct Hire, Hybrid (Columbus, OH) Position Type: Direct ... Implement data quality controls, validation routines, and monitoring to ensure trusted enterprise ...

Azure Data Engineer

Dublin, OH · On-site

$110K - $132K/yr

Implement data quality controls, validation routines, and monitoring to ensure trusted enterprise ... Minimum 5 years of hands-on data engineering experience building enterprise-scale data pipelines

Azure Data Engineer

Dublin, OH · On-site

$110K - $132K/yr

Implement data quality controls, validation routines, and monitoring to ensure trusted enterprise ... Minimum 5 years of hands-on data engineering experience building enterprise-scale data pipelines

GCP Data Engineer

Columbus, OH · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Partner with stakeholders to deliver reusable, high-quality engineering solutions aligned with ...

ComResource is looking for a QA Automation Engineer. Responsibilities: * Work as part of an Agile ... Efficiently reproduce reported software issues, analyze data, and collaborate with team members to ...

GCP Data Engineer

Columbus, OH · Hybrid

$110K - $132K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Partner with stakeholders to deliver reusable, high-quality engineering solutions aligned with ...

Job#: 3049277 Title: QA Automation Engineer III Location: Cincinnati, Ohio (Onsite) Duration: 4+ ... Drive automation initiatives for API/web services testing, Web UI, data extract scripts, and ...

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 Ohio are hiring for Data Quality Developer jobs?

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

Senior Data Developer

Westerville, OH

APCO Holdings
Motor Vehicle Manufacturing • 501 - 1,000 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


APCO Holdings rating

8.0

Company rating: 8.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

APCO Holdings partners with dealerships across North America to deliver innovative vehicle protection products and services that enhance the ownership experience for customers and drive growth for our partners. Through our family of brands, we bring together industry expertise, technology, and data-driven insights to help dealers strengthen their finance and insurance performance and build lasting relationships with their customers.

Our teams work collaboratively across operations, technology, risk, finance, marketing, and sales to deliver solutions that create measurable value and support the continued growth of APCO and the partners we serve.

We're looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You'll develop reliable ETL pipelines, lead data modeling efforts, and create data stores and marts that power business intelligence. This role requires a strong understanding of organizational data to deliver effective, enterprise-wide data solutions.
What You'll Do
  • Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory, and related tools
  • Build scalable, reliable ETL pipelines to support enterprise business intelligence and analytics
  • Lead the design of logical data models and implement optimized physical database structures
  • Develop and manage operational data stores, data marts, and enterprise data models
  • Collaborate with business stakeholders to gather data requirements and translate them into technical solutionsIntegrate data from multiple sources including databases, APIs, and flat files
  • Perform data transformation, cleansing, validation, and aggregation to ensure high data quality
  • Monitor, optimize, and troubleshoot ETL performance and data workflows
  • Deploy, schedule, and maintain production data processes with proper documentation and controls
  • Ensure data accuracy, security, and availability through governance, access controls, and backup strategies
What Makes You Successful
Success in this role requires a strong ability to understand and interpret organizational data. You will develop deep domain knowledge to effectively support integrated data design initiatives and deliver high-quality, data-driven solutions that enable informed business decisions
  • Strong expertise in SQL development, including complex queries, stored procedures, and performance tuning
  • Deep understanding of ETL design, data modeling, and data warehousing concepts
  • Ability to design scalable, efficient database architectures and data pipelines
  • Strong analytical and problem-solving skills with attention to detail
  • Experience translating business needs into technical data solutions
  • Effective communication skills to explain complex concepts to both technical and non-technical audiences
  • Commitment to data accuracy, quality, and continuous improvement
Basic Qualifications
  • 5+ years of experience as an ETL Developer, Data Engineer, Database Developer, or similar role
  • Strong experience with SQL Server, SSIS, and Azure Data Factory
  • Proficiency in SQL, including query writing, optimization, and data manipulation
  • Experience with data modeling, dimensional modeling, and data warehousing principles
  • Hands-on experience building and maintaining ETL pipelines
  • Familiarity with tools such as SSMS, SSRS, and Power BI
Preferred Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
  • Experience with OLAP, MDX, and multidimensional data models
  • Familiarity with programming languages such as Python, Java, or .NET
  • Experience with cloud data platforms (e.g., Azure SQL, AWS RDS)
  • Knowledge of database security, backup, and recovery strategies
  • Experience creating semantic models or datasets for reporting tools like Power BI
This Role Might Be a Great Fit If You...
  • Enjoy building data solutions that drive business insights and decision-making
  • Thrive in solving complex data challenges and optimizing performance
  • Are detail-oriented and passionate about data accuracy and quality
  • Like collaborating with cross-functional teams to turn data into value
  • Are eager to deepen your understanding of enterprise data and systems
  • Take ownership of your work and enjoy designing scalable, long-term solutions
What We Offer
  • Competitive compensation
  • Comprehensive medical, dental, and vision benefits
  • 401(k) with company match
  • Paid time off and company holidays
  • Opportunities to shape compensation strategy in a growing organization
  • A collaborative, high-impact leadership environment
 
At APCO, the way we work matters just as much as the results we deliver. Our values guide how we work, how we partner, and how we deliver results.
 
We C.A.R.E.
Committed - We build strong, high-trust relationships with our partners and each other.
Accountable - We take ownership of outcomes and hold ourselves to the highest standards of performance and integrity.
Results-Driven - We focus on delivering measurable outcomes that create value for our partners and our business.
Excellent - We strive for excellence in everything we do while balancing short-term performance with long-term success.
 
If you're excited about joining a team that values collaboration, accountability, and continuous improvement, we'd love to hear from you.
 
 
By submitting your application, you acknowledge that you have read and understand our Privacy Policy and Terms & Conditions. APCO Holdings may collect personal information (such as name, contact details, and employment history) to evaluate your candidacy. We may share this data with our subsidiaries, affiliates, and service providers. We retain applicant data only as long as necessary for the hiring process or as required by law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

What APCO Holdings employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom