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Data Engineer Jobs in Uniontown, OH (NOW HIRING)

Data Architect

Akron, OH ยท On-site

$61 - $78.50/hr

Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions using Microsoft Fabric, SQL, and Azure technologies. * Work with business stakeholders to understand ...

Data Architect

Akron, OH ยท On-site

$85K - $167K/yr

Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions using Microsoft Fabric, SQL, and Azure technologies. * Work with business stakeholders to understand ...

Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions using Microsoft Fabric, SQL, and Azure technologies. * Work with business stakeholders to understand ...

New

Ensuring adherence to data engineering standards and governance, as well as IT change management and related governance processes * Supporting numerous projects and activities simultaneously ...

This role partners closely with Engineering, IT, Manufacturing, Finance, and Operations stakeholders to define standards, ownership, and processes that enable trusted data for decision-making and ...

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Showing results 1-20

Data Engineer information

See Uniontown, OH salary details

$36.1K

$105.3K

$144.1K

How much do data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer in Uniontown, OH is $105,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $111,700.00 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.

What are the most commonly searched types of Data Engineer jobs in Uniontown, OH?

The most popular types of Data Engineer jobs in Uniontown, OH are:

What job categories do people searching Data Engineer jobs in Uniontown, OH look for?

The top searched job categories for Data Engineer jobs in Uniontown, OH are:

What cities near Uniontown, OH are hiring for Data Engineer jobs?

Cities near Uniontown, OH with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Uniontown, OH as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,343 per year, or $50.6 per hour.

Data Engineer - Manager - Consulting - Location OPEN

Ernst & Young Oman

Akron, OH โ€ข On-site

$126 - $230/hr

Other

Medical, Dental, Retirement, PTO

Posted 2 days ago

New


Job description

Location: Anywhere in Country

At EY, weโ€™re all in to shape your future with confidence.

Weโ€™ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

At EY, our purpose is to shape the future. The insights and quality services we provide help build trust and confidence in the capital markets and economies all over the world. We develop outstanding leaders who are teamed to deliver our promises to all our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities.

The opportunity

The Products and Platforms Practice specializes in mission-critical, intelligent platforms for the worldโ€™s most ambitious organizations. Using our product-driven, AI-centric approach, we empower organizations to build for the intelligent digital future. Our elite team of product leaders, data scientists, designers, and software engineers enable our clients to solve their most complex product challenges and positively impact people and the world. Engineers are problem solvers. While most have deep expertise in specific areas of the technology stack (front end, back end, data, security etc.), all are comfortable swimming across lanes. This is really important in delivering the product and platform outcomes that our customers expect.

In this role, you will design and build AI and analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle.

Your key responsibilities

As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including:

  • Leading workstream delivery and ensuring quality in all processes.

  • Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.

  • Implementing resource plans and budgets while managing engagement economics.

This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs.

Skills and attributes for success

To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:

  • Ability to work with both technical and business stakeholders.

  • Prior experience leveraging LLMs or other GenAI tooling.

  • Proven ability to work across cross-functional teams.

  • Proven ability to work with ambiguity or when requirements are lacking/changing.

  • Owns a problem from raw source through pipeline, model/analysis, and production handoff.

  • Checks bias, leakage, sample size, and whether a metric actually answers the question.

  • Writes tested, versioned, observable code โ€” not one-off notebooks that only run on a laptop.

  • Strong analytical and problem-solving abilities.

  • Excellent communication skills, with the ability to convey complex information clearly.

  • Proven experience in managing and delivering projects effectively.

  • Ability to build and manage relationships with clients and stakeholders.

To qualify for the role, you must have
  • Bachelorโ€™s degree required in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related preferred.

  • Typically, no less than 4 - 6 years relevant experience

  • Handsโ€‘on experience developing scalable data solutions using Python, R, and SQL, with expertise in data engineering, data pipelines, streaming architectures, and big data ecosystems.

  • Cloud Computing Architecture

  • Data Architecture Design and Modelling

  • Data Integration

  • Data Security

  • Ontology Design

  • Software Engineering

  • Data Quality

  • Database Management

  • Semantic Layer

  • Building and Managing Relationships

  • Client Trust and Value

  • Communicating With Impact

  • Hybrid Collaboration

  • Commercial Acumen

  • Leading Teams

  • Managing Change

Ideally, youโ€™ll also have
  • A passion for delivering commercial software products and platforms to market

  • Deeply technical and constantly in a state of learning

  • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, customers, partners and executives

  • Fearless in getting โ€œhandsโ€‘onโ€ with technology and execution

  • Strong understanding of modern software engineering processes

  • Deep understanding and interest in cloud and distributed systems architectures

  • Comfortable with ambiguity with a drive for clarity

  • Experience leading and growing technical talent (for software engineering managers)

  • Experience in managing change effectively.

  • Experience with advanced data analytics tools and techniques.

  • Familiarity with machine learning concepts and applications.

  • Knowledge of industry trends and best practices in data engineering.

What we look for

We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you.

What we offer you

At EY, weโ€™ll develop you with futureโ€‘focused skills and equip you with worldโ€‘class experiences. Weโ€™ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

  • We offer a comprehensive compensation and benefits package where youโ€™ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

  • Join us in our teamโ€‘led and leaderโ€‘enabled hybrid model. Our expectation is for most people in external, clientโ€‘serving roles to work together in person 40โ€‘60% of the time over the course of an engagement, project or year.

  • Under our flexible vacation policy, youโ€™ll decide how much vacation time you need based on your own personal circumstances. Youโ€™ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

EY focuses on highโ€‘ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EYโ€™s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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