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

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

AI Engineer

Columbus, OH · On-site

$50K - $112K/yr

As an Associate, you will focus on learning and contributing to projects while developing your ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

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Associate Data Engineering information

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$13

$31

$54

How much do associate data engineering jobs pay per hour?

As of Aug 19, 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 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 Columbus, OH?

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

What are popular job titles related to Associate Data Engineering jobs in Columbus, OH?

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

What job categories do people searching Associate Data Engineering jobs in Columbus, OH look for?

The top searched job categories for Associate Data Engineering jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Associate Data Engineering jobs?

Cities near Columbus, OH with the most Associate Data Engineering job openings:

Infographic showing various Associate Data Engineering job openings in Columbus, OH as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $66,449 per year, or $31.9 per hour.

Data Scientist Senior Associate - Consumer Bank Marketing Analytics

JPMorgan Chase & Co

Columbus, OH • On-site

$55K - $56K/yr

Full-time

Medical, Retirement

Re-posted 24 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description


Join a team where your analysis directly influences how Chase invests in consumer banking growth. You will help measure marketing effectiveness, turn test learnings into strategy, and improve how we optimize marketing spend through a robust present value framework-while learning alongside a collaborative, inclusive group of data professionals.

As a Marketing Analytics Data Scientist at JPMorganChase within Consumer and Community Banking Data and Analytics, you will evaluate customer acquisition quality for deposit marketing initiatives, inform campaign strategy through rigorous experimentation, and improve investment decisions using discounted cash flow and customer lifetime value frameworks. You will develop, maintain, and enhance customer lifetime value and ad hoc estimates, and you will partner closely with stakeholders to translate analytical results into clear business recommendations that improve customer and business outcomes.

Job responsibilities

  • Develop and maintain customer lifetime value and discounted cash flow calculation frameworks to evaluate customer acquisition segment performance
  • Analyze deposit marketing initiatives to deliver campaign insights, recommendations, and strategic guidance
  • Design, execute, and evaluate experiments (including A/B and incrementality testing) to quantify impact and inform decisions
  • Support return-on-investment analyses and marketing investment portfolio optimization
  • Partner with finance on budgeting, forecasting, and cost-benefit evaluations tied to marketing investments
  • Collaborate cross-functionally with marketing analytics, test design, strategy, and finance partners to deliver outcomes in an inclusive, high-performing environment
  • Interpret and present findings to senior leaders with clear storytelling, implications, and recommended actions
  • Improve analytical workflows, documentation, and repeatable measurement approaches to enable scalable decision-making

Required qualifications, capabilities and skills

  • Bachelor's and Master's degree in a quantitative discipline (such as data science, analytics, mathematics, statistics, physics, engineering, economics, or finance)
  • 3+ years of experience applying statistical methods to real-world business problems
  • 3+ years of experience using SQL for data analysis
  • 3+ years of experience using R for analytics and modeling
  • Experience supporting finance workstreams, including budgeting, forecasting, and return on investment or cost-benefit evaluations
  • Hands-on experience with A/B testing and incrementality testing, including experimental design, statistical significance evaluation, and translating results into business recommendations
  • Experience using AI-assisted development tools to accelerate analysis and code development
  • Experience with data visualization for analysis and executive-ready presentations
  • Strong written, verbal, and presentation skills, with the ability to communicate effectively across stakeholder groups and levels

Preferred qualifications, capabilities and skills

  • 3+ years of applied experience using Python
  • Experience in marketing analytics, including customer acquisition and campaign measurement
  • Experience building data visualizations for analysis and presentations, including Tableau
  • Demonstrated ability to solve unstructured problems independently while maintaining strong stakeholder alignment
  • Strong strategic, organizational, and relationship-building skills to prioritize multiple initiatives and deliver on time

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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