1

Junior Dataops Engineer Jobs Near Me

MLOps Automation Senior Lead Engineer

Columbus, OH · On-site +1

$100K - $131K/yr

Experience with agile development and strong understanding of DataOps and ModelOps principles ... Ability to train more junior analysts regarding day-to-day activities, as necessary * Proven ...

Junior Dataops Engineer information

See salary details

$33.5K

$71.8K

$109.5K

How much do junior dataops engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for junior dataops engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Junior Dataops Engineer jobs? Cities with the most Junior Dataops Engineer job openings:
What states have the most Junior Dataops Engineer jobs? States with the most job openings for Junior Dataops Engineer jobs include:
What are the most commonly searched types of Dataops Engineer jobs? The most popular types of Dataops Engineer jobs are:
A map of the United States highlighting the number of Junior Dataops Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Junior Dataops Engineer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data ModelerCGEMJP00314809

R2 Technologies Corporation

Columbus, OH • On-site

Full-time

Re-posted 13 days ago


Job description

Overview:
Description:
Location: Columbus, Ohio (Hybrid- 2 Days onsite - Local Candidates Highly Preferred)
Duration: 6-12 Months Plus
Description:
As a Data Solution Analyst, you'll translate functional data and analytic requirements into solutions for consumption and use by the respective business or technology request or leveraging a variety of approved technologies. The technologies include (but are not limited to) Paxata, Tableau, Micro strategy, Business Objects, R, or other reporting and visualization solutions being considered for operationalization. You'll also have the opportunity to guide others to leverage self-service techniques for business reporting and analytics.
About the Role: We are seeking a highly skilled Data Modeling Expert to join our team. The ideal candidate will have extensive experience in traditional data modeling techniques [3NF, Star/Snowflake, Hybrid] and data analysis. This role requires a deep understanding of data architecture, data integration, and data management best practices.
Key Responsibilities:
• Design and implement data structures [Logical and Physical data models] for analytical data stores.
• Collaborate with business analysts, data engineers, and other stakeholders to understand data requirements and translate them into effective data structures/models.
• Perform data profiling, data quality assessments, and data cleansing activities.
• Create Source to Target mapping documents, including documenting complex data transformations, integrations, and standardization.
• Ensure compliance with data governance, security policies, and best practices.
• Provide technical guidance and mentorship to junior data modelers and data engineers.
Must Have Qualifications
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Proven experience [at least 5 years] in data modeling spanning the entire Development LifeCycle (Requirements to Deployment).
• At least 2 years designing data structures for either Data Warehouses, Data Lakes, or Analytical systems.
• Strong knowledge of data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner).
• Proven experience [at least 5 years] in data analysis/profiling.
• Proficiency in SQL and experience with database management systems (e.g., Oracle, SQL Server, MySQL).
• Excellent problem-solving skills and attention to detail.
• Ability to identify issues and form cross functional teams to drive resolutions
• Strong communication and collaboration skills, including facilitation and consensus building.
Preferred Qualifications:
• Experience with data integration tools (e.g., Informatica, Talend).
• Knowledge of DevOps and DataOps.
• Knowledge of data governance frameworks and practices.
• Certification in data management or data modeling (e.g., CDMP, DAMA).
Skills:
Data Warehouses,Data Lakes,DevOps,DataOps