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Data Engineer Jobs in Edgewood, KY (NOW HIRING)

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer I

Cincinnati, OH · On-site

$109K - $131K/yr

The data engineer designs and builds platforms, tools, and solutions that help the bank manage, secure, and generate value from its data. The person in this role creates scalable and reusable ...

Data Engineer I

Cincinnati, OH · On-site

$109K - $131K/yr

The data engineer designs and builds platforms, tools, and solutions that help the bank manage, secure, and generate value from its data. The person in this role creates scalable and reusable ...

Data Engineer III

Cincinnati, OH · On-site

$109K - $132K/yr

Must Have Skills Must Have: • Snowflake (4+ years) • Data Engineering • Business Intelligence • DBT (Data Build Tool) • DataStage • SQL • Data Modeling • ETL Development Nice to Have ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Project - Data Engineer II

Cincinnati, OH · On-site

$109K - $131K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If ...

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 ...

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 ...

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 ...

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 ...

Comfortable working across architecture, engineering, and business teams. * Strong analytical and problem-solving skills with a focus on enterprise-scale data solutions. * Experience supporting ...

Showing results 21-40

Data Engineer information

See Edgewood, KY salary details

$43.9K

$127.9K

$175K

How much do data engineer jobs pay per year?

As of Aug 8, 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 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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
What cities near Edgewood, KY are hiring for Data Engineer jobs? Cities near Edgewood, KY with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Edgewood, KY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $127,894 per year, or $61.5 per hour.

Data Engineer - Senior Manager

Pwc

Cincinnati, OH • On-site

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies that meet current and future business needs. As a Senior Manager you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a strategic level to drive project success. You also be responsible for developing and documenting data models, data flow diagrams, and data architecture guidelines, maintaining compliance with data governance and data security policies, and collaborating with business stakeholders to translate their data requirements into technical solutions.
Responsibilities
- Design and implement thorough data architecture strategies
- Lead large-scale projects and innovate processes
- Maintain operational excellence and client interactions
- Develop and document data models and data flow diagrams
- Adhere to data governance and security policies
- Collaborate with business stakeholders to translate data requirements into technical solutions
- Drive project success through strategic advising and problem-solving
- Foster a diverse and inclusive team environment
What You Must Have
- Bachelor's Degree
- 8 years of experience
What Sets You Apart
- Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus
- Designing and implementing thorough data architecture strategies
- Developing and documenting data models and data flow diagrams
- Maintaining data architecture compliance with governance and security policies
- Collaborating with stakeholders to translate data requirements into solutions
- Evaluating and recommending new data technologies and tools
- Leading data strategy engagements providing thought leadership
- Developing leading practices for Data Engineering, Data Science, and Data Governance
- Architecting and implementing cloud-based solutions meeting industry standards

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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