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Remote Data Engineer Jobs in Warren, OH (NOW HIRING)

Pharmacy Data Management

Senior Data Engineer

Poland, OH · On-site +1

$91K - $124K/yr

The Senior Data Engineer plays a key role in modernizing the organization's data ecosystem by ... Fully remote opportunity with a company that cares. Key Responsibilities: * Design, develop ...

Pharmacy Data Management

Manager Cyber Fusion Center

Poland, OH · On-site +1

$96K - $129K/yr

... data breach readiness, SOC operations, security engineering, cloud and product security. The ideal ... Fully remote opportunity with a company that cares. Key Responsibilities: * Lead the strategy ...

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Warren, OH

Remote Data Engineer information

See Warren, OH salary details

$38.3K

$111.5K

$152.6K

How much do remote data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data engineer in Warren, OH is $111,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $118,200.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

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

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

What are popular job titles related to Remote Data Engineer jobs in Warren, OH?

For Remote Data Engineer jobs in Warren, OH, the most frequently searched job titles are:

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Warren, OH as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,535 per year, or $53.6 per hour.

Senior Data Engineer (Remote)

Pharmacy Data Management, Inc.

Poland, OH • Remote

$108K - $147K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

PDMI is looking to add a Senior Data Engineer to our team! This position is responsible for designing, developing, optimizing, and supporting enterprise data integration, reporting, and analytics solutions. The Senior Data Engineer plays a key role in modernizing the organization's data ecosystem by transitioning legacy SQL Server and SSRS solutions to a scalable, cloud-based architecture centered on Amazon Redshift, AWS data services, and Tableau. This position develops scalable ETL pipelines, data warehouse solutions, governed data products, and secure data delivery capabilities that enable reliable enterprise reporting, analytics, and self-service access to trusted business information.

Since 1984, PDMI has provided pharmacy data processing and otherflexible, scalable solutions to help our clients meet their businessobjectives. We offer transparent, pass-through pharmacy processing and other services for private label Pharmacy Benefit Managers (PBMs), vertically integrated healthplansand hospital systems. In addition to Pharmacy Benefit Administrative Services, we offer 340B Administration, Hospice and Long-Term Care Services.

Why Join Us:

  • Best Employer:PDMI was votedBestEmployer in Ohio for the 5th consecutive year in 2025!
  • Meaningful Work:Contribute to improving healthcare quality and efficiency.
  • Collaborative Environment:Work with passionate professionals who share your drive.
  • Exciting Challenges:Every day brings new opportunities to excel.
  • Flexible Work:Fully remote opportunity with a company thatcares.

Key Responsibilities:

  • Design, develop, optimize, and support scalable ETL pipelines and data integration solutions that enable enterprise reporting, analytics, and data delivery.
  • Develop and optimize complex SQL queries, stored procedures, data transformations, and data models across Amazon Redshift and Microsoft SQL Server environments.
  • Support the modernization of legacy SQL Server and SSRS reporting solutions by migrating data pipelines, reporting processes, and analytics capabilities to AWS-based architectures.
  • Design and maintain cloud-based data warehouse solutions using Amazon Redshift and related AWS services to support scalable, reliable, and high-performing data processing.
  • Develop governed data models, datasets, and data products that enable Tableau reporting, enterprise analytics, and self-service access to trusted business information.
  • Build and enhance scalable data extract, file delivery, and reporting solutions that reduce manual processes and improve the reliability and efficiency of enterprise data delivery.
  • Analyze and optimize ETL workflows, SQL queries, data models, and warehouse performance for large-scale datasets and complex reporting workloads.
  • Partner with business and technical stakeholders to gather requirements, understand reporting and data needs, and translate business requirements into scalable technical solutions.
  • Implement and maintain appropriate data security, role-based access controls, and governance standards across enterprise data and analytics solutions.
  • Monitor, troubleshoot, and resolve data pipeline, data quality, performance, and reporting issues while supporting critical legacy systems throughout modernization efforts.
  • Apply modern software development practices, including source control, code review, testing, CI/CD, documentation, and automation, to data engineering and analytics development.
  • Evaluate and leverage cloud-native services, automation, and AI-assisted development tools to improve development efficiency, monitoring, data operations, and analytics capabilities.
  • Collaborate with Data, Engineering, Product, and business teams to establish sustainable data solutions, reduce reliance on manual reporting and external development resources, and support the continued evolution of the enterprise data platform.

Work & Education Experience Requirements:

  • Bachelor's degree in Data Management, Information Systems, Computer Science, Analytics, or a related field required, or equivalent combination of education and experience.
  • 7+ years of experience in ETL development, data engineering, business intelligence, data warehousing, or a related discipline required.
  • Hands-on experience designing, developing, optimizing, and supporting enterprise data warehouse and ETL solutions, including Amazon Redshift, required.
  • Advanced SQL development expertise, including complex query development, data transformation, and performance optimization required.
  • Strong knowledge of data warehousing concepts, dimensional modeling, enterprise reporting architectures, and large-scale data processing required.
  • Experience gathering business requirements and translating them into scalable data integration, reporting, and analytics solutions required.
  • Experience with Microsoft SQL Server, including legacy data extraction and migration support, required.
  • Experience with SSRS reporting solutions and migrating legacy SQL Server/SSRS environments to modern cloud-based data platforms preferred.
  • Experience developing cloud-native data pipelines using AWS services such as Glue, S3, Lambda, Athena, ECS/EKS, or similar technologies preferred.
  • Experience developing Tableau dashboards, semantic data models, governed data products, and enterprise self-service analytics solutions preferred.
  • Experience implementing data governance, role-based security, Git, CI/CD pipelines, and modern software development practices preferred.
  • Experience within PBM, healthcare, pharmacy claims, 340B, rebate, or claims adjudication environments preferred.
  • Experience using AI-assisted development tools or developing AI-enabled automation, analytics, monitoring, or reporting solutions preferred.

AI Usage & Candidate Authenticity:

AI tools may be used forresumeformatting or drafting application materials; however,submittingcontent that misrepresents your experience, including copied job descriptions or unverifiable work history, is not acceptable. Candidates must be prepared to clearly and confidently speak to allexperiencelisted. PDMI may request work samples, portfolio links, or other forms of validation during the process. Use of AI tools during interviews or assessments, unless explicitlypermitted, will result in disqualification.

All offers are contingent upon successful completion of a pre-employment background check, including employment and education verification, as well as a 4-panel drug screen.