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Associate Data Engineering Jobs in Columbus, OH (NOW HIRING)

As a subject matter expert, the Data Engineering Lead will mentor team members at all levels ... Our Organization has a business casual environment and focuses on teamwork, associate development ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

Data Owner Sr. Associate

Columbus, OH

$15.50 - $20/hr

As a Sr. Associate Data Owner on the Home Lending Originations Data Owner team, you'll help drive ... You'll collaborate closely with Product, Engineering, Analytics, and Risk to enable scalable data ...

Data Owner Sr. Associate

Columbus, OH

$15.50 - $20/hr

As a Sr. Associate Data Owner on the Home Lending Originations Data Owner team, you'll help drive ... You'll collaborate closely with Product, Engineering, Analytics, and Risk to enable scalable data ...

Data Owner Sr. Associate

Columbus, OH · On-site

$104.50K - $165K/yr

As a Sr. Associate Data Owner on the Home Lending Originations Data Owner team, you'll help drive ... You'll collaborate closely with Product, Engineering, Analytics, and Risk to enable scalable data ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Associate] is a plus - Designing and implementing thorough data architecture strategies ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer II

Columbus, OH · On-site

$107K - $128.50K/yr

Core & Main's 5,700 associates are committed to helping their communities thrive with safe and ... data engineering tasks. Partner closely with senior engineers, architects, and stakeholders to ...

Data Visualization Associate

Columbus, OH · On-site

$55.50K - $56K/yr

Programming skills in Python or R. * Interest or experience in AI, machine learning, and automation ... Familiarity with data governance and observability tools (e.g., Collibra, Alation, Monte Carlo ...

Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/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 ...

Data Engineer

Columbus, OH · On-site

$107K - $128.50K/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 ...

Data Visualization Associate

Columbus, OH · On-site

$55.50K - $56K/yr

Programming skills in Python or R. * Interest or experience in AI, machine learning, and automation ... Familiarity with data governance and observability tools (e.g., Collibra, Alation, Monte Carlo ...

Lead Data Engineer

Columbus, OH · Hybrid

$111.82K - $139.76K/yr

... associates with the insights they need to drive success in supporting our members and retirees. As ... If you're passionate about data engineering, analytics, and want to make a meaningful impact, apply ...

Lead Data Engineer

Columbus, OH · Hybrid

$111.82K - $139.76K/yr

... associates with the insights they need to drive success in supporting our members and retirees. As ... If you're passionate about data engineering, analytics, and want to make a meaningful impact, apply ...

Data Engineer - Columbus, OH

Columbus, OH · On-site

$107K - $128.50K/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 ...

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Associate Data Engineering information

See Columbus, OH salary details

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How much do associate data engineering jobs pay per hour?

As of May 28, 2026, the average hourly pay for associate data engineering in Columbus, OH is $31.95, according to ZipRecruiter salary data. Most workers in this role earn between $23.70 and $37.84 per hour, depending on experience, location, and employer.

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 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 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 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 Columbus, OH? The most popular types of Data Engineering jobs in Columbus, OH are:
Lead Data Engineer

Lead Data Engineer

DHL

Columbus, OH • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

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


DHL rating

7.0

Company rating: 7.0 out of 10

Based on 309 frontline employees who took The Breakroom Quiz

32nd of 60 rated delivery companies


Job description

Lead Data Engineer

We are seeking a skilled Data Engineering Lead to oversee technical data projects and develop efficient data pipelines within the organization. This role is essential for optimizing data architecture to meet the needs of cross-functional teams, ensuring rapid data ingestion into global platforms while upholding data integrity and accessibility. The successful candidate will collaborate with stakeholders to promote data-driven decision-making and enhance data initiatives. As a subject matter expert, the Data Engineering Lead will mentor team members at all levels, fostering their development and ensuring adherence to best practices in data engineering.

Responsibilities

  • Lead technical data engineering projects, ensuring rapid data ingestion into regional and global platforms.
  • Guide the development, testing, and maintenance of large-scale data pipelines while adhering to best practices and quality standards.
  • Support software developers, database architects, data analysts, and data scientists in enhancing data accessibility and usability.
  • Maintain consistency in data delivery architecture across projects by following established reference architecture.
  • Recommend and implement optimized data pipeline architectures for cross-functional teams.
  • Design and deploy data flow processes that meet the needs of various systems and products.
  • Assemble complex data sets to meet business requirements and support strategic initiatives.
  • Identify and implement internal process improvements for data reliability, efficiency, and quality.
  • Mentor team members to foster development and ensure adherence to data engineering best practices.
  • Collaborate with the data analytics community to integrate new data sources and develop operational procedures with operations teams.

Required Education and Experience

  • Undergraduate Degree in Computer Science, Logistics, Mathematics, Statistics, or related field
  • 3+ years of experience in data engineering or equivalent role
  • Strong understanding of SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server).
  • Proven experience in data pipeline development and management in Azure environments.
  • Proficient with Azure Data Factory, Azure Databricks, or Azure Synapse Analytics.
  • Familiar with data warehousing solutions and large datasets.
  • Proficient in programming languages such as Python, Java, or Scala.
  • Knowledge of data modeling, ETL processes, and data warehousing concepts in Azure.
  • Experience with data visualization tools (e.g., Power BI).
  • Understanding of data governance and quality principles.
  • Experience leading data initiatives.
  • Ability to mentor and support data engineers and guide project direction.
  • Knowledge of machine learning concepts and tools for advanced analytics.
  • Understanding of containerization and orchestration technologies (e.g., Docker, Kubernetes).

Our Organization has a business casual environment and focuses on teamwork, associate development, training, and continuous improvement. We offer competitive wages, excellent affordable insurance benefits (including health, dental, vision and life), 401K plan, paid vacation and holidays.

Our Organization is an equal opportunity employer.


What DHL employees say

Pay

Benefits

Hours and flexibility

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About DHL

Sourced by ZipRecruiter

When Adrian Dalsey, Larry Hillblom and Robert Lynn founded DHL in 1969, they didn’t know they would revolutionize the world of logistics. Today, DHL is the world’s leading logistics company. Our 600,000 people in over 220 countries and territories work every day to help you cross borders, reach new markets and grow your business. Or simply send a letter to your loved ones.

Industry

Transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

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