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Associate Data Engineer Jobs in Ohio (NOW HIRING)

JPMorgan Chase & Co.

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 ...

JP Morgan Chase

Data Owner Sr. Associate

Columbus, OH · On-site

$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 ...

Pwc

Data Strategy-Manager

Cincinnati, OH · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Strategy-Manager

Cleveland, OH · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Strategy-Manager

Columbus, OH

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Governance- Manager

Cleveland, OH

$99K - $232K/yr

... 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 ...

Pwc

Data Governance- Manager

Columbus, OH · On-site

$99K - $232K/yr

... 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 ...

Pwc

Data Governance- Manager

Cincinnati, OH · On-site

$99K - $232K/yr

... 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 ...

Pwc

Data Governance- Manager

Toledo, OH · On-site

$99K - $232K/yr

... 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 ...

Pwc

Data Strategy-Senior Manager

Cleveland, OH

$124K - $280K/yr

... 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 ...

Pwc

Data Strategy-Senior Manager

Cincinnati, OH

$124K - $280K/yr

... 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 ...

Fiserv, Inc.

Sr Cybersecurity Data Engineer

Columbus, OH · On-site

$109K - $182.40K/yr

Job Title Sr Cybersecurity Data Engineer About your role: You will interface with security Big Data ... For incentive eligible associates, the successful candidate is eligible for an annual incentive ...

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How much do associate data engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for associate data engineer in Ohio is $17.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $18.99 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 Ohio? The most popular types of Data Engineer jobs in Ohio are:
What are popular job titles related to Associate Data Engineer jobs in Ohio? For Associate Data Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Ohio look for? The top searched job categories for Associate Data Engineer jobs in Ohio are:
What cities in Ohio are hiring for Associate Data Engineer jobs? Cities in Ohio with the most Associate Data Engineer job openings:
Associate Data Engineer jobs near you
Data Owner Sr. Associate

Data Owner Sr. Associate

JPMorgan Chase & Co.

Columbus, OH • On-site

$104.50K - $165K/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

45th of 141 rated banks

Job description

Job Description
Are you energized by building products with data-not just reporting on them? Join us to shape how we deliver trusted, well-governed data that improves the Chase customer experience. You'll sit at the intersection of Product, Data, and Technology, translating business outcomes into clear data requirements and partnering across teams to deliver data that is discoverable, reliable, secure, and analytics-ready.
As a Sr. Associate Data Owner on the Home Lending Originations Data Owner team, you'll help drive our data strategy the way a strong product leader would: clarifying customer needs (data consumers), defining scope and success measures, prioritizing work across dependencies, and ensuring what we ship meets quality and control standards. You'll collaborate closely with Product, Engineering, Analytics, and Risk to enable scalable data delivery while proactively managing data risk and compliance.
Job Responsibilities
  • Own product data outcomes: Support the design, development and delivery of data products aligned to strategic business objectives and analytics use cases.
  • Translate needs into requirements: Partner with stakeholders to understand data usage, define critical data elements, and document meaning, purpose, lineage, and metadata classification.
  • Enable analytics and decisioning: Identify data products needed for integration into analytics platforms and help ensure it is fit-for-purpose for reporting, insights, and advanced analytics.
  • Drive data quality as a product feature: Define and coordinate requirements for accuracy, completeness, timeliness, and consistency; establish clear acceptance criteria and controls.
  • Manage delivery across teams: Coordinate with technology and data delivery partners to resolve data issues, unblock dependencies, and keep workstreams on track.
  • Mitigate risk and ensure governance: Contribute to processes that identify, monitor, and reduce data risk while supporting compliance with firmwide standards for integrity and protection.
  • Influence through partnership: Build strong relationships with product, engineering, analytics, and risk partners; communicate tradeoffs and align on priorities.
  • Measure and report progress: Track workstreams, milestones, and KPIs to support predictable delivery and continuous improvement.

Required Qualifications, Capabilities, and Skills
  • Bachelor's degree and 3+ years in data-focused roles with demonstrated partnership across product and technology teams
  • Experience delivering across multiple workstreams with competing timelines and dependencies
  • Strong understanding of product/business data and processes; ability to frame data work in terms of customer outcomes and value
  • Working knowledge of data management, governance, big data platforms, and/or data architecture, including SQL
  • Ability to prioritize, manage ambiguity, and drive work forward in a matrixed organization
  • Strong communication skills-able to explain technical concepts to non-technical audiences and align stakeholders on decisions
  • Structured, analytical thinker with strong business judgment
  • Familiarity with Agile delivery and iterative development
  • Commitment to data quality, protection, and compliance as non-negotiable deliverables

About Us
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
About the Team
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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