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Freelance Azure Data Engineer Jobs in Ohio (NOW HIRING)

Senior Data Developer

Westerville, OH · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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

Senior Data Engineer

Cincinnati, OH · On-site

$103K - $140K/yr

... Azure Data Factory, SSIS); • Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI; • Collect, analyze and document user requirements; • ...

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines ... Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience. * Power BI and Tableau ...

Public Health Data Engineer

Beavercreek, OH

$106K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Support cloud-based data environments and services in AWS and Azure. * Assist with the ... Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high ...

Data Engineer - Senior Manager

Columbus, OH · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer - Senior Manager

Cleveland, OH

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer - Senior Manager

Toledo, OH · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer - Senior Manager

Cincinnati, OH · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

... Azure Data Factory, SSIS); • Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI; • Collect, analyze and document user requirements; • ...

Senior Data Engineer

Findlay, OH · On-site

$99K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Cloud Platform - Knowledge of cloud-based data platforms, such as AWS, Azure, or GCP, and their ... General Programming - Applies a computer language to communicate with computers using a set of ...

Senior Data Engineer

Beavercreek, OH · On-site

$80K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other modern technologies. * Design and implement CI/CD pipelines and DevOps best practices for data ...

Senior Data Engineer

Beavercreek, OH

$80K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other modern technologies. * Design and implement CI/CD pipelines and DevOps best practices for data ...

Azure DevOps Engineer

Columbus, OH · On-site

$65 - $70/hr

Develop and maintain automation for CosmosDB, Azure Data Factory, and other Azure services ... Ensure security, compliance, and best practices are followed in all DevOps processes.

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

  • Medical

  • Retirement

  • PTO

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Showing results 41-60

Freelance Azure Data Engineer information

What does a freelance Azure Data Engineer do?

A Freelance Azure Data Engineer is a professional who designs, builds, and maintains data solutions on Microsoft Azure for various clients or organizations on a contract or project basis. Their responsibilities include developing data pipelines, managing data storage, ensuring data security, and optimizing data processes using Azure services like Azure Data Factory, Azure SQL Database, and Azure Databricks. They often work independently, collaborating with clients to understand requirements and deliver scalable, cloud-based data solutions. This role requires strong knowledge of cloud computing, data engineering best practices, and Microsoft Azure's suite of data tools.

What are the key skills and qualifications needed to thrive as a freelance Azure Data Engineer?

To thrive as a Freelance Azure Data Engineer, you need expertise in data modeling, ETL development, and a strong grasp of cloud data architectures, typically supported by a degree in computer science or related fields. Familiarity with Microsoft Azure data services (such as Azure Data Factory, Synapse Analytics, and Azure SQL Database), proficiency in SQL, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, effective communication, and the ability to work independently distinguish top freelancers in this role. These competencies are crucial for delivering scalable, efficient, and reliable data solutions that meet diverse client needs in dynamic project environments.

What are some common challenges faced by freelance Azure Data Engineers when working with multiple clients?

Freelance Azure Data Engineers often face challenges such as managing diverse client requirements, adapting to different data architectures, and ensuring data security across various environments. Balancing multiple projects can require strong time management and communication skills, especially when clients have overlapping deadlines or use different Azure services. Effective documentation and proactive communication with client teams are essential to align expectations and deliver consistent, high-quality solutions.

What is the difference between Freelance Azure Data Engineer vs Azure Data Analyst?

AspectFreelance Azure Data EngineerAzure Data Analyst
CredentialsAzure certifications, SQL, data engineering skillsAzure certifications, Power BI, data analysis skills
Work EnvironmentProject-based, remote or on-site, client-specificProject-based or full-time, remote or on-site, client or internal teams
Industry UsageUsed across industries for building data pipelines and infrastructureUsed for interpreting data, creating reports, and visualizations

Freelance Azure Data Engineers focus on designing and implementing data infrastructure using Azure, while Azure Data Analysts primarily analyze data and create visual reports. Both roles require Azure certifications but serve different functions in data management and analysis.

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

The most popular types of Azure Data Engineer jobs in Ohio are:

What are popular job titles related to Freelance Azure Data Engineer jobs in Ohio?

For Freelance Azure Data Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Freelance Azure Data Engineer jobs in Ohio look for?

The top searched job categories for Freelance Azure Data Engineer jobs in Ohio are:

What cities in Ohio are hiring for Freelance Azure Data Engineer jobs?

Cities in Ohio with the most Freelance Azure Data Engineer job openings:

Infographic showing various Freelance Azure Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Developer

APCO Holdings

Westerville, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


APCO Holdings rating

8.0

Company rating: 8.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

165th of 309 rated insurance


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.
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