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

... Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering ... Vision, data visualization tools Candidates lacking technical skills can research our other ...

Senior Data Analyst

Dublin, OH

$81.20K - $102.50K/yr

... data engineering specifications to ensure they are logical and accurate and meet internal ... Associate's) required OR · In lieu of a degree, a minimum of 4 years of related experience is ...

Senior Data Analyst

Dublin, OH · On-site

$81.20K - $102.50K/yr

... data engineering specifications to ensure they are logical and accurate and meet internal ... Associate's) required OR • In lieu of a degree, a minimum of 4 years of related experience is ...

Senior Data Analyst

Dublin, OH · On-site

$81.20K - $102.50K/yr

... data engineering specifications to ensure they are logical and accurate and meet internal ... Associate's) required OR • In lieu of a degree, a minimum of 4 years of related experience is ...

Sr. Data Analytics Analyst

Columbus, OH

$83.10K - $104.80K/yr

Partner with multi-functional teams across Digital, Data Science, Data Engineering, and Marketing ... Benefits for eligible associates include: * Robust medical, pharmacy, dental and vision coverage.

New

Associate Test & Evaluation Engineer Company: The Boeing Company Boeing Defense, Space and Security ... Reviews test data for accuracy, quality and/or fidelity prior to delivery to customer * Alerts ...

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Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for associate data engineer in Columbus, OH is $18.10, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.28 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, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

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

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What are the most commonly searched types of Data Engineer jobs in Columbus, OH? The most popular types of Data Engineer jobs in Columbus, OH are:
What are popular job titles related to Associate Data Engineer jobs in Columbus, OH? For Associate Data Engineer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Columbus, OH look for? The top searched job categories for Associate Data Engineer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Associate Data Engineer jobs? Cities near Columbus, OH with the most Associate Data Engineer job openings:
Senior Product Delivery Associate -Data Platforms Self-Service

Senior Product Delivery Associate -Data Platforms Self-Service

JP Morgan Chase

Columbus, OH

$119.10K - $157.20K/yr

Full-time

Medical, Retirement

Posted 20 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

As a Senior Product Delivery Associate within the Data Platforms organization, you support the delivery of self-service capabilities for platform users and bring solid delivery management experience with a background in big data technologies, cloud platforms, and user-centric product development.   

Job responsibilities

  • Manage delivery of features from discovery through design, development, release - in partnership with engineering and cross-functional teams.
  • Focus on streamlining onboarding, resource management, and user interaction with data platforms such as Snowflake, Info1, AWS Data Lake and Cassandra across API, UI, and AI Agent channels.
  • Ensure release readiness including stakeholder alignment, documentation, adoption tracking, and post-release follow-through based on user feedback.
  • Maintain the product backlog for assigned capabilities, ensuring work is prioritized, well-refined, and clearly scoped to support predictable delivery.

  • Solicit requirements from stakeholders, translating them into epics, user stories, and acceptance criteria that engineering partners can readily act on.
  • Produce low-fidelity wireframes and workflow sketches to align stakeholders and engineering on requirements, reducing ambiguity and accelerating delivery.
  • Map and document end-to-end user journeys across API, UI, and AI Agent channels to ensure a cohesive experience.
  • Support product discovery efforts including user interviews, workflow observation, and feedback synthesis to inform delivery priorities and design decisions.
  • Advocate for user experience quality across all interfaces, contributing to shared design patterns and consistency across channels.
  • Measure and report on adoption and effectiveness, using data and user feedback to support iterative refinement and continuous product improvement.

Required Qualifications, Capabilities, and Skills

  • Bachelor's degree in computer science, Information Systems, Data Engineering, or related field (or equivalent experience).
  • 5+ years in product delivery or related roles with ownership of features from discovery through release.
  • Experience managing delivery across highly technical engineering teams, writing epics, user stories, and acceptance criteria, and supporting iterative delivery processes.
  • Ability to produce clear, low-fidelity wireframes or mockups. Familiarity with Figma, design systems, or shared component libraries.
  • Experience supporting discovery activities such as user interviews, stakeholder workshops, or feedback synthesis. Experience partnering with UX designers.
  • Strong communication, problem-solving, and attention-to-detail skills.
  • Familiarity with API-first design principles and agentic AI.
  • Foundational experience with Snowflake, AWS, Info1, or Data Lake technologies and Cassandra.

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.

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