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Associate Data Engineering Jobs in Ohio (NOW HIRING)

CareSource

AVP, Data Management

Dayton, OH · On-site +1

The Associate Vice President, Data Management is a senior technology executive responsible for the strategy, architecture, engineering, integration, quality, and operational management of enterprise ...

84.51°

Senior Data Engineer (P1129)

Cincinnati, OH · On-site

$98K/yr

Drive improvements in data engineering practices, procedures, and ways of working * Embrace new ... Below is a list of some of the benefits we offer our associates: * Health: Medical: with ...

Accenture

Google Data Specialist

Columbus, OH · On-site

$70K - $196K/yr

Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience working in agile delivery environments. Compensation at Accenture varies depending on a wide array ...

Accenture

Google Data Specialist

Cleveland, OH · On-site

$70K - $196K/yr

Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience working in agile delivery environments. Compensation at Accenture varies depending on a wide array ...

Accenture

Google Data Specialist

Hartford, OH · On-site

$70K - $196K/yr

Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience working in agile delivery environments. Compensation at Accenture varies depending on a wide array ...

Accenture

Google Data Specialist

Cincinnati, OH · On-site

$70K - $196K/yr

Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience working in agile delivery environments. Compensation at Accenture varies depending on a wide array ...

Pwc

Data Strategy-Manager

Cleveland, OH

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Strategy-Manager

Columbus, OH

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Strategy-Manager

Cincinnati, OH · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Kimball Midwest

Software Engineer - Data

Columbus, OH · On-site

$110K - $132K/yr

As a Kimball Midwest associate, you'll be part of a company built on long-term growth and strong ... Qualifications * 5+ years of experience in data engineering or a related field. * Bachelor's degree ...

Kimball Midwest

Software Engineer - Data

Columbus, OH · On-site

$107K - $128K/yr

As a Kimball Midwest associate, you'll be part of a company built on long-term growth and strong ... Qualifications * 5+ years of experience in data engineering or a related field. * Bachelor's degree ...

Devapo

$100 - $130/hr

... Associate) certification * Databricks (Spark, Unity Catalog, Lakeflow) or Snowflake -- cross-platform data engineering * Real-Time Intelligence experience: Eventhouse, Eventstream, KQL, Data ...

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Associate Data Engineering information

What is an associate data engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

What are some typical projects an associate data engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer, and why are they important?

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What is the difference between Associate Data Engineering vs Data Engineer?

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Ohio?

The most popular types of Data Engineering jobs in Ohio are:

What are popular job titles related to Associate Data Engineering jobs in Ohio?

For Associate Data Engineering jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineering jobs in Ohio look for?

The top searched job categories for Associate Data Engineering jobs in Ohio are:

What cities in Ohio are hiring for Associate Data Engineering jobs?

Cities in Ohio with the most Associate Data Engineering job openings:

Associate Data Engineering jobs near you
Infographic showing various Associate Data Engineering job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution.

AVP, Data Management

CareSource

Dayton, OH • On-site, Remote

Full-time

Posted 15 days ago

CareSource rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

205th of 310 rated insurance

Job description

Job Summary:
The Associate Vice President, Data Management is a senior technology executive responsible for the strategy, architecture, engineering, integration, quality, and operational management of enterprise data platforms. This leader ensures that the data ecosystem is scalable, secure, reliable, and capable of supporting analytics, artificial intelligence, operational reporting, regulatory compliance, and business transformation initiatives. They serve as the enterprise owner for a modern data platform strategy, including cloud data platforms, data movement, integration architecture, master data management, operational excellence, and data reliability. The AVP partners closely with Data Strategy & Governance, Data & AI Solutions, Enterprise Architecture, Clinical Operations, Finance, and Technology leaders to ensure the enterprise data foundation enables business outcomes while maintaining appropriate controls, performance, and scalability.
Essential Functions:
  • Define and execute the enterprise data platform strategy and multi-year technology roadmap.
  • Establish architecture standards, design principles, and engineering practices supporting enterprise data initiatives.
  • Lead modernization efforts across data platforms, integration technologies, and operational processes.
  • Evaluate emerging technologies and industry trends to continuously improve enterprise data capabilities.
  • Align data platform investments with organizational priorities, technology strategy, and business objectives.
  • Act as executive sponsor for major enterprise data transformation initiatives.
  • Lead the creation and governance of enterprise data architecture standards and reference architectures.
  • Establish target-state architecture supporting operational reporting, advanced analytics, AI, interoperability, and regulatory requirements.
  • Define canonical data models, integration patterns, and enterprise information architecture.
  • Partner with Enterprise Architecture to align data strategy with broader application and infrastructure roadmaps.
  • Oversee metadata-driven architecture, data lineage, and data lifecycle management practices.
  • Drive adoption of modern architectural patterns including lakehouse, event-driven, and domain-oriented data architectures.
  • Provide executive leadership for enterprise data engineering teams.
  • Oversee design, development, and optimization of scalable ETL/ELT pipelines and data products.
  • Ensure engineering delivery practices support reliability, performance, maintainability, and reusability.
  • Champion automation, DevOps, and DataOps capabilities across the organization.
  • Establish engineering standards, code quality practices, CI/CD frameworks, and operational controls.
  • Lead platform optimization efforts to improve performance, scalability, and cost efficiency.
  • Own enterprise integration strategy across clinical, operational, financial, and third-party systems.
  • Ensure integration solutions align with enterprise standards, regulatory requirements, and business objectives.
  • Partner with application and infrastructure teams to streamline system connectivity and data flow.
  • Lead large-scale migration and consolidation initiatives during mergers, acquisitions, or platform modernization efforts.
  • Establish operational governance and performance management practices for data platforms.
  • Ensure platform availability, reliability, resiliency, and service performance meet defined SLAs.
  • Lead enterprise data quality monitoring, remediation, and continuous improvement efforts.
  • Develop operational metrics, KPIs, dashboards, and reporting frameworks to measure platform health and business value.
  • Oversee capacity planning, incident management, root-cause analysis, and problem resolution processes.
  • Partner with Data Strategy & Governance leadership to operationalize data quality standards and stewardship practices.
  • Ensure appropriate security, access controls, disaster recovery, and risk management processes are in place.
  • Build and lead high-performing teams including directors, managers, architects, engineers, and operations professionals.
  • Foster a culture of accountability, innovation, operational excellence, and continuous improvement.
  • Develop leadership talent and succession planning within the organization.
  • Establish organizational priorities, objectives, and performance expectations.
  • Lead vendor management, contract negotiations, and strategic technology partnerships.
  • Manage budgets for personnel, infrastructure, licensing, and external services.
  • Perform any other job related duties as requested.

Education and Experience:
  • Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related field required
  • Master's degree preferred
  • Equivalent years of relevant work experience may be accepted in lieu of required education
  • Twelve (12) years of progressive experience in data management, data architecture, data engineering, or platform engineering required
  • Five (5) years of leadership experience managing large-scale technology organizations required
  • Experience leading enterprise data platforms supporting analytics, operational reporting, and AI initiatives required
  • Experience establishing and scaling operational practices for mission-critical data platforms required
  • Experience leading cloud-based data modernization initiatives required
Competencies, Knowledge and Skills:
  • Familiarity with healthcare payer industry strongly preferred
  • Knowledge of Databricks, Azure, Snowflake, or comparable modern cloud data platforms
  • Familiarity with data mesh, domain-driven architecture, and modern DataOps practices
  • Familiarity with healthcare interoperability standards including FHIR, HL7, EDI, and related healthcare data exchanges
  • Ability to support AI/ML platforms and large-scale enterprise analytics environments
  • Skilled with master data management, metadata management, and data observability solutions
Licensure and Certification:
  • None
Working Conditions:
  • General office environment; may be required to sit or stand for extended periods of time
  • Travel is not typically required

Compensation range $150,000-$300,000. CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
Salary
Organization Level Competencies
  • Fostering a Collaborative Workplace Culture
  • Cultivate Partnerships
  • Develop Self and Others
  • Drive Execution
  • Energize and Inspire the Organization
  • Influence Others
  • Pursue Personal Excellence
  • Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
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