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Remote Azure Data Engineer Jobs in Columbus, OH (NOW HIRING)

Columbus, OH (1st choice), Remote (2nd choice) Experience Required: 7-12 years Base Salary: Up to ... Proficient in working on Azure cloud components Azure Data Factory, Azure Databricks, Azure Data ...

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

Lead Data Engineer Purpose of Position The Lead Data Engineer is a hands-on technical leader ... Azure Data Factory (ADF), Databricks, and DBT Lead the development of Data Vault 2.0 models and ...

Data Engineer

Dublin, OH · On-site

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the ... ESSENTIAL DUTIES • Design, build, and maintain robust, scalable data pipelines in Azure using ...

Data Engineer

Dublin, OH

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the ... ESSENTIAL DUTIES · Design, build, and maintain robust, scalable data pipelines in Azure using ...

Data Engineer

Dublin, OH · On-site

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the ... ESSENTIAL DUTIES • Design, build, and maintain robust, scalable data pipelines in Azure using ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF) , Databricks , and ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

Lead Data Engineer

Columbus, OH · On-site

$107.50K - $129.20K/yr

... Azure Data Factory (ADF), Databricks, and DBT Lead the development of Data Vault 2.0 models and ... automation, DevOps practices, and version control for data pipelines and reporting assets ...

Lead Data Engineer

Columbus, OH · On-site

$107.50K - $129.20K/yr

Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF) , Databricks , and ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

Lead Data Engineer

Columbus, OH

$110.60K - $132.80K/yr

Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF) , Databricks , and ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

Lead Data Engineer

Columbus, OH

$107.50K - $129.20K/yr

Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF) , Databricks , and ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

Lead Data Engineer

Columbus, OH · On-site

$107.50K - $129.20K/yr

Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF) , Databricks , and ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

Azure or AWS) to build solution for future systems * Develop high performance scripts in SQL/Python ... Senior Data Engineering Skills with Snowflake, Azure Data Factory, prefer DB2 Must have excellent ...

Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

These are remote roles, but they will give preference to those located in Columbus, OH (first ... Exp level: 14+ years Must have Databricks, Cosmos DB, MongoDB, Azure SQL, and Performance Tuning.

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Remote Azure Data Engineer information

See Columbus, OH salary details

$43K

$125.3K

$171.4K

How much do remote azure data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote azure data engineer in Columbus, OH is $125,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 per year, depending on experience, location, and employer.

What is a Remote Azure Data Engineer job?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Remote Azure Data Engineer position, and why are they important?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are some common challenges a Remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.
What are the most commonly searched types of Azure Data Engineer jobs in Columbus, OH? The most popular types of Azure Data Engineer jobs in Columbus, OH are:
What are popular job titles related to Remote Azure Data Engineer jobs in Columbus, OH? For Remote Azure Data Engineer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Engineer jobs in Columbus, OH look for? The top searched job categories for Remote Azure Data Engineer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Azure Data Engineer jobs? Cities near Columbus, OH with the most Remote Azure Data Engineer job openings:
Infographic showing various Remote Azure Data Engineer job openings in Columbus, OH as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $125,293 per year, or $60.2 per hour.

Databricks Data Engineer

Inizio Partners

Columbus, OH • Remote

$150K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Databricks Data Engineer

Columbus, Ohio, United States

About the Job

Title: Databricks Data Engineer (Senior Manager / AVP)

Location: Columbus, OH (1st choice), Remote (2nd choice)

Experience Required: 7-12 years

Base Salary: Up to $150k

Job Overview:

We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operations.

Key Responsibilities:

  • Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models that effectively support business requirements
  • Develop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems address any issues or bottlenecks in existing pipelines.
  • Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large datasets to ensure they meet quality standards.
  • Monitor data jobs for successful completion. Troubleshoot and resolve any issues that arise to minimize downtime and ensure continuity of data processes.
  • Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requirements
  • Familiar with working on Agile methodologies - scrum, sprint planning, backlog refinement etc.

Candidate Profile:

  • 7-12 years experience on Data Engineering role working with Databricks & Cloud technologies.
  • Bachelors degree in computer science, Information Technology, or related field.
  • Strong proficiency in PySpark, Python, SQL.
  • Strong experience in data modeling, ETL/ELT pipeline development, and automation
  • Hands-on experience with performance tuning of data pipelines and workflows
  • Proficient in working on Azure cloud components Azure Data Factory, Azure Databricks, Azure Data Lake etc.
  • Experience with data modeling, ETL processes, Delta Lake and data warehousing.
  • Experience on Delta Live Tables, Autoloader & Unity Catalog.
  • Preferred - Knowledge of the insurance industry and its data requirements.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Excellent communication and problem-solving skills to work effectively with diverse teams
  • Excellent problem-solving skills and ability to work under tight deadlines.

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