ZipRecruiter

Log In

1

Data Optimisation Jobs in Ohio (NOW HIRING)

Cincinnati Reds

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Building, optimizing, and maintaining ETL/ELT pipelines * Basic infrastructure-as-code (Terraform, CloudFormation) * Understanding of real-time data processing (Kafka, Kinesis) * Experience with ...

Cincinnati Reds

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Building, optimizing, and maintaining ETL/ELT pipelines * Basic infrastructure-as-code (Terraform, CloudFormation) * Understanding of real-time data processing (Kafka, Kinesis) * Experience with ...

Jobtailor

Data Scientist

Aurora, OH · On-site

$90 - $120/hr

Develop and maintain analytical models that support demand forecasting, capacity planning, and inventory optimization. * Analyze sales, production, and supply chain data to identify trends, risks ...

AMEND Consulting

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Create and maintain optimal data pipeline architecture * Assemble large, complex data sets that meet functional / non-functional business requirements * Identify, design, and implement internal ...

AMEND Consulting

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Create and maintain optimal data pipeline architecture * Assemble large, complex data sets that meet functional / non-functional business requirements * Identify, design, and implement internal ...

Proctor & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Utilizing your expertise in Operations Research (including optimization and simulation) and machine ...

Eightelevengroup

Data Warehouse Architect

Dublin, OH · On-site

$85 - $92/hr

Guide implementation teams on data modeling, pipeline design, performance optimization, and governance * Assess existing environments and identify opportunities to improve data quality, scalability ...

Sidram Technologies

Data Scientist - w2

Columbus, OH · On-site

The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized ...

Safelite Group

Lead Data Scientist

Columbus, OH · On-site

A Brief Overview The Lead Data Scientist serves as a technical leader responsible for developing ... This position plays a critical role in pricing optimization, experimentation strategy, and ...

ALLOBAAS

Data Engineering Lead

Lakewood, OH · On-site

Lead and assist in administration, optimization, and operational oversight of Snowflake and related cloud data platforms. * Oversee table structures, role and permission management, performance ...

next page

Showing results 1-20

All JobsData Optimisation JobsData Optimisation Jobs in Ohio

Data Optimisation information

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What are the key skills and qualifications needed to thrive as a data optimisation specialist?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What are the most common challenges faced in a data optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.

What are popular job titles related to Data Optimisation jobs in Ohio?

For Data Optimisation jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Optimisation jobs in Ohio look for?

The top searched job categories for Data Optimisation jobs in Ohio are:

Data Optimisation jobs near you
Infographic showing various Data Optimisation job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineer

Cincinnati Reds

Cincinnati, OH • On-site

$111K - $134K/yr

Full-time

Posted 17 days ago

Cincinnati Reds rating

8.9

Company rating: 8.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Job Description: Data Engineer
Department: Information Technology - Baseball Data & Development
FLSA Status: Full-Time, Salary Exempt
Date Created: 10/01/2022
Date Reviewed: 08/13/2026
Job Summary:
The Data Engineer will work closely with the Data team and the Baseball Systems team to maintain, enhance, and extend the Cincinnati Reds data pipelines. You will be responsible for collecting and transforming data from various sources as well as preparing and distributing data for consumption by the department's systems and analysts. The ideal candidate is an experienced data pipeline builder who excels at automating and optimizing data systems, with a strong preference for cloud experience.
Requirements
Category
Details
Education
  • Bachelor degree or equivalent experience in a computational science or technical field

Experience
  • 2+ years professional experience

Skills
  • Proficiency in SQL, query optimization, indexing strategies
  • Strong Python for data processing (PySpark)
  • Familiarity with DevOps practices, Git integrations, CI/CD (Azure DevOps)
  • Experience with cloud-native tools and technologies (Azure, GCP, AWS)
  • Building, optimizing, and maintaining ETL/ELT pipelines
  • Basic infrastructure-as-code (Terraform, CloudFormation)
  • Understanding of real-time data processing (Kafka, Kinesis)
  • Experience with workflow orchestration tools (Apache Airflow, Dagster, Prefect)

Other
  • Spoken and written fluency in English.
  • Ability to travel within the United States, preferred, as directed
  • Willing to relocate. This position is based in Cincinnati, OH

Primary Duties & Responsibilities
Duty
Description
Pipeline Development - 40%
  • Build, optimize, and maintain ETL/ELT pipelines using Python and SQL to collect and transform data from various sources.

Data Optimization - 20%
  • Write efficient SQL queries, implement indexing strategies, and perform performance tuning to ensure fast data retrieval.

Cloud & Workflow Management - 15%
  • Utilize cloud-based data tools and workflow orchestration systems (e.g., Airflow) to automate data distribution.

System Management - 15%
  • Monitor and troubleshoot existing data systems to ensure reliability for departmental analysts.

Collaboration & Process - 5%
  • Participate in code reviews and proactively improve workflows to support team knowledge sharing.

Other - 5%
  • Other duties as assigned.

Reports To: Senior Manager, Data Engineer
Next Role to Develop Toward: Senior Data Engineer
  • Development Requirements:
    • Owns small to mid-sized projects with minimal oversight.
    • Proactively improves processes and optimizes workflows.
    • Contributes to code reviews and knowledge sharing.

Physical Requirements:
  • Ability to stand and walk for extended periods throughout the day.
  • Comfortable working in varying conditions with moderate noise level (confined spaces like office/cubicles).
  • Ability to handle repetitive tasks.
  • Sufficient hand-eye coordination and manual dexterity for tasks like computer work, note-taking, etc.
  • Ability to available for long shifts and to work long and variable hours, including weekends and holidays.

Expectations:
  • Adhere to Cincinnati Reds Organization Policies and Procedures.
  • Act as a role model within and outside the Cincinnati Reds Organization.
  • Perform duties as workload necessitates.
  • Demonstrate flexible and efficient time management and ability to prioritize workload.
  • Meet department productivity standards.
  • Willingness to learn. Open to new methodologies

Equal Opportunity Statement:
The Cincinnati Reds are an Equal Opportunity Employer. It is the policy of the Cincinnati Reds to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, national origin, religion or creed, sex, age, disability, citizenship status, marital status, genetic predisposition or carrier status, sexual orientation or any other characteristic protected by law.
Disclaimer:
The statements herein are intended to describe the general nature and level of work being performed by the employee in this position. The above description is only a summary of the typical functions of the job, not an exhaustive or comprehensive list of all possible job responsibilities, tasks, and duties. Additional duties, as assigned, may become part of the job function. The duties listed above are, therefore, a partial representation not intended to be an exhaustive list of all responsibilities, duties, and skills required of a person in this position.

What Cincinnati Reds employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply