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Data Engineer Jobs in Edgewood, KY (NOW HIRING)

RIT Solutions, Inc.

Data Engineer II

Cincinnati, OH · On-site

RIT Solutions, Inc. is seeking a Data Engineer II to handle the design and construction of scalable data products. The role involves ensuring that all data systems meet company requirements and ...

TQL

Data Engineer I - Finance

Cincinnati, OH · On-site

$109K - $131K/yr

As a Data Engineer you'll play a critical role within Financial Planning & Analysis (FP&A) responsible for maintaining and improving financial reporting solutions across SQL, Power BI, Microsoft ...

FISCHER HOMES

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data foundation that powers decision-making across The Fischer Group. You'll design, develop, and maintain ...

FISCHER HOMES

SENIOR DATA ENGINEER

Erlanger, KY

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data foundation that powers decision-making across The Fischer Group. You'll design, develop, and maintain ...

Fischer Homes

SENIOR DATA ENGINEER

Erlanger, KY

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data foundation that powers decision-making across The Fischer Group. You'll design, develop, and maintain ...

Fischer Homes

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data foundation that powers decision-making across The Fischer Group. You'll design, develop, and maintain ...

Medpace

Senior Data Engineer

Cincinnati, OH · On-site

$103K - $140K/yr

The Senior Data Engineer will work within the Information Technology team to support data engineering tasks and projects critical to the company's success. Responsibilities : • Utilize skills in ...

Medpace

Junior Data Engineer

Cincinnati, OH · On-site

They are seeking a Junior Data Engineer to join their Information Technology team to support various data engineering tasks and projects that are crucial for the company's success. Responsibilities ...

Kanak Elite Services Inc

Lead Data Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

We are hiring a Lead Databricks Engineer for a direct client contract role to design and build large-scale, production-grade data solutions on Azure Databricks. Type: Contract Required Skills: Azure ...

Kanak Elite Services Inc

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

SENIOR DATA ENGINEER Location: Cincinnati, OH - Onsite Contract Interview: onsite interview for the final round (12+ yrs exp) skilled in Azure, Databricks, Unity Catalog, Delta Tables, and Data Lake ...

Medpace, Inc.

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site

$109K - $132K/yr

Job Summary Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our AI team. This position will work on a team to accomplish ...

Judge Group, Inc.

Data Engineer Level 2

Cincinnati, OH · On-site

$60 - $70/hr

Our client is currently seeking a Data Engineer Level 2 Required Skills * 3+ years of applied data science experience, with demonstrated progression in scope and technical complexity * Hands-on ...

ClifyX

Azure Data Engineer (Python & AI/ML)

Cincinnati, OH · On-site

$111K - $134K/yr

ClifyX is a company specializing in data solutions, and they are seeking an Azure Data Engineer with expertise in Python and AI/ML. The role focuses on leveraging Microsoft Azure data services to ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Edgewood, KY

Data Engineer information

See Edgewood, KY salary details

$43.9K

$127.9K

$175K

How much do data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data engineer in Edgewood, KY is $127,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $135,600.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What cities near Edgewood, KY are hiring for Data Engineer jobs?

Cities near Edgewood, KY with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Edgewood, KY as of August 2026, with employment types broken down into 86% Full Time, 7% Temporary, and 7% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $127,894 per year, or $61.5 per hour.

Data Engineer II

RIT Solutions, Inc.

Cincinnati, OH • On-site

Full-time

Re-posted 23 days ago

Job description

Job Summary:
RIT Solutions, Inc. is seeking a Data Engineer II to handle the design and construction of scalable data products. The role involves ensuring that all data systems meet company requirements and researching new uses for data acquisition.
Responsibilities:
• Design, construct, install, test and maintain data management systems.
• Build high-performance algorithms, predictive models, and prototypes.
• Ensure that all systems meet the business/company requirements as well as industry practices.
• Integrate up-and-coming data management and software engineering technologies into existing data structures.
• Develop set processes for data mining, data modeling, and data production.
• Create custom software components and analytics applications.
• Research new uses for existing data.
• Employ an array of technological languages and tools to connect systems together.
• Collaborate with members of your team (e.g., data architects, the IT team, data scientists) on the project's goals.
• Install/update disaster recovery procedures.
• Recommend different ways to constantly improve data reliability and quality.
Qualifications:
Required:
• Technical Degree or related work experience
• Experience with non-relational & relational databases (i.e. SQL)
• Experience programming and/or architecting a back-end language (i.e. Javascript)
• Analysis of the functional specification and requirements
• Business Intelligence - Data Engineering
• JavaScript
• Python
• SQL
Preferred:
• Agile
• Analysis of requirements and impact analysis
• Data Analysis
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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