1

Senior Data Engineer Jobs in Solon, OH (NOW HIRING)

Senior Data Engineer

Strongsville, OH · On-site

$97K - $132K/yr

We are seeking a Senior Data Engineer to help design, build, and establish the engineering standards for our data platform. This role requires a hands-on engineer with strong experience in data ...

Senior Data Engineer

Strongsville, OH · On-site

$97K - $132K/yr

Senior Data Engineer We are a Microsoft heavy organization looking to build out and modernize our data ecosystem. We are seeking a Senior Data Engineer to help design, build, and establish the ...

Senior Data Engineer

Strongsville, OH · On-site

$150 - $200/hr

Senior Data Engineer We are a Microsoft heavy organization looking to build out and modernize our data ecosystem. We are seeking a Senior Data Engineer to help design, build, and establish the ...

Senior Data Engineer

Strongsville, OH · On-site

$97K - $132K/yr

Senior Data Engineer We are a Microsoft heavy organization looking to build out and modernize our data ecosystem. We are seeking a Senior Data Engineer to help design, build, and establish the ...

Senior Data Engineer

Cleveland, OH · Hybrid

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead in our data engineering consulting team. In this role, you will serve as the technical cornerstone ...

Senior Data Engineer

Cleveland, OH · Hybrid

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead in our data engineering consulting team. In this role, you will serve as the technical cornerstone ...

Senior Data Engineer

Cleveland, OH · On-site

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead in our data engineering consulting team. In this role, you will serve as the technical cornerstone ...

As a Data Engineer Sr within PNC's Asset Management organization, you will be based in Pittsburgh, PA; Birmingham, AL; Cleveland, OH; Dallas, TX. As a Senior Data Engineer, you will partner closely ...

Collaborate with the Database Administrator (DBA) and Senior Data Engineer to optimize performance and resource allocation. * Monitor system health using Azure Monitor, SQL Agent, or third-party ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Senior Data Scientist Qnity Electronics is accepting applications for a position as a Data ... Strong programming skills in Python, including data preparation, statistical analysis, feature ...

Senior Data Scientist

Cleveland, OH · On-site

$150 - $200/hr

Overview Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop, and ... Collaborate with data engineers, software engineers, product teams, and business stakeholders to ...

next page

Showing results 1-20

Senior Data Engineer information

See Solon, OH salary details

$75.3K

$117.4K

$162.7K

How much do senior data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior data engineer in Solon, OH is $117,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $133,900.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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

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

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

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

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

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

Senior Data Engineer

Foundation Software

Strongsville, OH • On-site

$97K - $132K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 25 days ago


Foundation Software rating

9.3

Company rating: 9.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

14th of 247 rated software companies


Job description

Senior Data EngineerWe are a Microsoft heavy organization looking to build out and modernize our data ecosystem. We are seeking a Senior Data Engineer to help design, build, and establish the engineering standards for our data platform. This role requires a hands-on engineer with strong experience in data architecture, data modeling, ETL/ELT, cloud data platforms, and modern data engineering practices.The Senior Data Engineer will design and implement scalable data pipelines, data models, and data platform solutions that support analytics, business intelligence, AI, and enterprise reporting. The role will also help establish best practices for data engineering, reliability, performance, governance, and deployment while partnering closely with business stakeholders, analysts, and technology teams.This is a hands-on role for an experienced engineer who can move effectively from architecture and design through implementation and production support. We need someone who has done this before, understands what good looks like, and can help shape how we build, operate, and evolve our data environment.Essential Functions and ResponsibilitiesKey ResponsibilitiesArchitect, build, and manage data repositories, data integration solutions, and scalable pipelines.Implement CI/CD practices for data pipelines and transformations.Design and implement monitoring, alerting, observability, and operational support processes for data pipelines and platforms. Troubleshoot and resolve data pipeline failures, performance bottlenecks, and production incidents.Assist in the evaluation, selection, deployment, and maintenance of data infrastructure components, including databases, data platforms, and pipeline tools.Create, maintain, and evolve logical and physical dimensional data models and schema designs in support of storage, retrieval, and analytics.Optimize data storage, processing, and query performance while managing cloud infrastructure costs. Execute strategies for workload tuning, partitioning, indexing, and resource utilization.Implement robust data validation, quality checks, and metadata management to monitor data accuracy, consistency, and reliability across pipelines aiding analytics, BI, and AI requirements.Ensure data governance policies, compliance requirements, and security requirements are met by design as code.Maintain proficiency with technology trends in data engineering, evaluating potential impacts.Document data architectures, infrastructure designs, pipelines, workflows, transformations, and data models for both technical and non-technical audiences.Collaborate with business and technical stakeholders to define requirements, prioritize initiatives, and deliver trusted, scalable data products and services.Mentor and coach team members while promoting engineering best practices, technical standards, and continuous improvement.Required Skills and ExperienceBachelor's degree in Computer Science, Data Engineering, Mathematics, or related field.7+ years of hands-on experience in data engineering or a closely related discipline.Expert-level SQL skills in database design, dimensional modeling, query optimization, indexing, and performance tuning.Experience with modern cloud data warehouses (Fabric Warehouse, BigQuery, Databricks, etc.), including Lakehouse architectures and large-scale data processing platforms.Strong experience designing logical and physical data models including star and snowflake schemas. Background implementing CI/CD pipelines and automated deployment practices (g. DevOps, GitHub Actions).Experience with programming skills in languages commonly used in data engineering (e.g. Python, Java, or Scala).Excellent experience with modern ETL/ELT orchestration tools (e.g. Fivetran, Azure/Fabric Data Factory, and dbt or similar tools).Strong experience and knowledge with cloud platforms and data services (e.g. AWS, Azure, Fabric).Proficient with version control systems (e.g. GitHub or Azure DevOps).Experience with BI tools (e.g. Microsoft Power BI or Tableau).Comfortable working independently in a dynamic environment, managing multiple priorities even in the face of ambiguity or evolving requirements.Company CultureWhat is great about working for Foundation? Plenty! We have a fun, casual, yet hard-working culture that invests in our employees, promotes creativity, and delivers on our reputation. Would you like to work for a company that offers manicures and pedicures in the office? We do! How about massages, laundry service, monthly car washes, catered lunches Wednesdays and a monthly happy hour - we offer all this and more!At Foundation we believe in and promote a work-life balance with a top-notch workout facility, fitness classes and free personal training; and for those competitive types, a game room complete with table tennis, foosball, and video game systems. Also, some comforts of home, there is a full kitchen, free coffee and specialty flavors, soft drinks, and snacks.Other employee rewards include tickets to Cleveland sporting events, a variety of lunch and learns, and various employee-appreciation events throughout the year. Benefits include paid vacation, paid holidays, 401(k) with match, and tuition reimbursement, plus medical, eye and dental. Now offering discounts on pet, home, and auto insurance through Liberty Mutual!Foundation is constantly recognized as one of Northeast Ohio's top workplaces. We are a 20-time winner of the NorthCoast 99 award, a multi-year winner of The Plain Dealer's Top Workplaces award, and have been recognized multiple years on the Inc. 5000 list of fastest-growing private companies in the U.S.Let us start your future at Foundation!Foundation Software is an Equal Opportunity Employer.


What Foundation Software employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom