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Data Quality Developer Jobs in Ohio (NOW HIRING)

Data Engineer

Mason, OH · On-site

$52 - $57/hr

The ideal candidate will be responsible for architecting data pipelines, leading engineering teams, collaborating with business and cross-functional IT teams, and delivering high-quality data ...

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

In this role, you will work closely with data scientists, ML engineers, and software teams to ensure high-quality, reliable, and scalable data pipelines for AI applications. DUTIES & RESPONSIBILITIES ...

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

In this role, you will work closely with data scientists, ML engineers, and software teams to ensure high-quality, reliable, and scalable data pipelines for AI applications. DUTIES & RESPONSIBILITIES ...

AI Data Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Ensure data quality, integrity, and availability across systems * Optimize data storage and ... Strong programming skills in Python and/or SQL * Understanding of data engineering concepts (ETL ...

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

In this role, you will work closely with data scientists, ML engineers, and software teams to ensure high-quality, reliable, and scalable data pipelines for AI applications. DUTIES & RESPONSIBILITIES ...

Data Quality, Governance, Security & Compliance * Lead the implementation and continuous ... Experience with Azure data services, Azure DevOps, Azure Enterprise Service Bus, APIs, middleware ...

Data Quality, Governance, Security & Compliance * Lead the implementation and continuous ... Experience with Azure data services, Azure DevOps, Azure Enterprise Service Bus, APIs, middleware ...

$109K - $131K/yr

Data Engineer: Design, build, and maintain cloud-based data and analytics platforms and data ... Engineer high-quality, standards-compliant, and rigorously tested software while contributing ...

Data Quality, Governance, Security & Compliance * Lead the implementation and continuous ... Experience with Azure data services, Azure DevOps, Azure Enterprise Service Bus, APIs, middleware ...

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 ...

Showing results 21-40

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:

2356 Security Software Data Engineer I

Cincinnati, OH • Remote

Smart Data
IT Services • 51 - 200 employees

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients’ critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.

Job Title: Security Software Data Engineer

Location: REMOTE EST/CST

Years of Experience: 3-15


TOP SKILLS:

Must Have

  • 3 + years of experience in ETL space
  • AWS
  • Power BI
  • Power Shell Scripting
  • Python

Nice To Have

  • 2+ years of Power BI development experience (including Report Builder, Desktop, and Service)

 

What You’ll Do

 As an Information Security Data Visualization Engineer, you will transform complex cybersecurity data into intuitive, interactive analytical experiences that help analysts, engineers, leaders, and executives make informed decisions. Your primary focus will be designing, developing, and maintaining Power BI dashboards, visualizations, scorecards, and analytical solutions that provide meaningful visibility into critical aspects of the bank's cybersecurity programs.

Working closely with cybersecurity teams, data engineers, product owners, architects, and business stakeholders, you will build and enhance visualization solutions that enable users to explore data, investigate trends, understand relationships, and gain operational insights from complex cybersecurity datasets. Leveraging established requirements, data models, and architectural guidance, you will create highly usable and performant solutions that support both day-to-day operations and strategic decision-making.

In This Role, You Will:

  • Develop and maintain Power BI dashboards, reports, scorecards, and interactive visualizations supporting cybersecurity operations, threat intelligence, engineering, risk management, and leadership functions.
  • Create data models, calculated measures, semantic layers, and visual components using Power BI best practices and established design guidance.
  • Develop highly interactive visualizations that enable users to drill into, filter, correlate, and explore cybersecurity data across multiple dimensions and perspectives.
  • Implement reporting and visualization capabilities using existing requirements, designs, and data models.
  • Work with data pipelines, integrations, and ETL processes that enable reliable and scalable visualization and reporting solutions.
  • Collaborate with cybersecurity, engineering, and business teams to implement reporting and visualization solutions aligned with business and operational objectives.
  • Develop and maintain data quality controls, validation processes, testing practices, and documentation to ensure trust in analytical outputs.
  • Contribute ideas and recommendations to improve visualization capabilities, user experiences, and operational visibility.
  • Participate in Agile activities including story refinement, estimation, sprint planning, retrospectives, and standups.
  • Contribute to peer reviews, testing, deployment, and ongoing support of reporting and visualization solutions.
  • Support continuous improvement efforts focused on usability, performance, scalability, maintainability, and user adoption.
  • Perform other duties as assigned.

What You Should Have

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent professional experience.
  • 4-6+ years of experience developing business intelligence, data visualization, reporting, analytics, or data engineering solutions.
  • Strong experience with Microsoft Power BI, including dashboard development, report development, data modeling, DAX, performance optimization, and visualization design.
  • Experience designing intuitive, highly interactive visualizations that enable users to explore, analyze, and gain insights from complex datasets.
  • Experience developing Power BI solutions that leverage drill-through, drill-down, bookmarks, dynamic filtering, custom visuals, and other interactive capabilities.
  • Strong SQL skills and experience working with relational databases, data warehouses, and large datasets.
  • Experience building and supporting ETL and data integration processes involving structured and semi-structured data sources.
  • Experience with Python, JavaScript, or another modern programming language used for automation, data processing, or integration development.
  • Experience working with cloud-based data platforms and services, preferably AWS.
  • Understanding of data governance, data quality, data modeling, and reporting best practices.
  • Ability to validate data accuracy and develop automated testing and monitoring for reporting and visualization solutions.
  • Experience working in Agile development environments.
  • Strong communication and collaboration skills with the ability to work effectively with both technical and non-technical stakeholders.
  • Ability to implement scalable reporting and visualization solutions based on established requirements, designs, and business objectives.
  • A continuous improvement mindset with a focus on usability, performance, sustainability, maintainability, and operational excellence.

Preferred Qualifications

  • Experience supporting cybersecurity, threat intelligence, risk management, fraud, compliance, or other data-intensive operational programs.
  • Experience with Snowflake, or similar platforms.
  • Familiarity with Power BI administration, governance, deployment pipelines, workspace management, and security models.
  • Experience developing key risk indicators (KRIs), key performance indicators (KPIs), operational scorecards, or executive reporting solutions.
  • Knowledge of data warehousing concepts, dimensional modeling, semantic modeling, and analytical data design techniques.
  • Experience with Infrastructure as Code and modern cloud-native development practices.
  • Familiarity with cybersecurity data sources, security operations workflows, threat intelligence, vulnerability management, or security analytics.

 

What You’ll Get

SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.

  • Competitive base salary
  • Medical, dental, and vision insurance coverage
  • Optional life and disability insurance provided
  • 401(k) with a company match and optional profit sharing
  • Paid vacation time
  • Paid Bench time
  • Training allowance offering
  • You’ll be eligible to earn referral bonuses!