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Weekend Data Engineer Jobs in Ohio (NOW HIRING)

$102K - $122K/yr

We are seeking a Data Engineer to join our product development team. In this role, you will design, build, and support data migrations, pipelines, and APIs that power web and mobile software ...

Data Engineer

Barberton, OH · On-site

$62K - $97K/yr

BWXT is currently seeking a Data Engineer for its Advanced Technologies location in Barberton, OH! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT's Advanced ...

Data Engineer

Cincinnati, OH

$109K - $132K/yr

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

Data Engineer I Location: Cincinnati, OH (onsite, downtown) Years of Experience: 1-3 TOP SKILLS: * 1+ years Reporting or Data Engineering experience * 1+ years SQL experience What You'll Do * Build ...

BWXT is currently seeking a Data Engineer for its Advanced Technologies location in Barberton, OH! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT's Advanced ...

OH · On-site

$110K - $132K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

Data Engineer

Springdale, OH

$110K - $132K/yr

As a Data Engineer at Senneca, you will join a high-impact, stakeholder-facing team building a modern, cloud-native data platform. Reporting to the Director of Data Architecture, you will work across ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based ...

Data Engineer IV

Cincinnati, OH

$109K - $132K/yr

Data Engineer IV Seeking a Data Engineer IV to join its newly formed Machine Learning Data Enablement Team, part of the Customer Recommendation and Insights Squad within the Data Insights Tribe. This ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding the implementation of modern data solutions in a cloud-based ...

Lead Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

The Opportunity Our client is looking for a sharp, hands-on data engineering leader to own and evolve their Microsoft-centric data platform. This role sits at the intersection of data infrastructure ...

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Data Engineer Location: Cincinnati, OH Fulltime only * 7+ plus years of experience in solutioning data pipeline for large enterprise data Warehouse applications using Azure Data Factory, Data bricks ...

Data Engineer USA

Kings Mills, OH · Hybrid

$107K - $129K/yr

Data Engineer Role: Data Engineer Required legal status: Green Card, Green Card-EAD, US Citizen Location: Charlotte, NC (Hybrid work model) Job involves: * Extract, Transform, Load (ETL) operations

Databricks Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Kimball Midwest, a national distributor of maintenance, repair, and operation products, is searching for a Data Engineer to join our IT team! We are looking for someone who is driven, passionate ...

Databricks Data Engineer

Columbus, OH

$110K - $132K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

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Weekend Data Engineer information

What are Weekend Data Engineers?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the typical expectations and work patterns for a Weekend Data Engineer position?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What are the key skills and qualifications needed to thrive as a Weekend Data Engineer, and why are they important?

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.
What are the most commonly searched types of Data Engineer jobs in Ohio? The most popular types of Data Engineer jobs in Ohio are:
What job categories do people searching Weekend Data Engineer jobs in Ohio look for? The top searched job categories for Weekend Data Engineer jobs in Ohio are:
What cities in Ohio are hiring for Weekend Data Engineer jobs? Cities in Ohio with the most Weekend Data Engineer job openings:
Data Engineer

$102K - $122K/yr

Full-time

Posted 25 days ago


Job description

We are seeking a Data Engineer to join our product development team. In this role, you will design, build, and support data migrations, pipelines, and APIs that power web and mobile software applications.

You will work closely with engineers and stakeholders in a collaborative, fast-paced environment. This is a hands-on technical role focused on delivering reliable, production-ready data solutions.
This role focuses on building data solutions that support core business operations and application workflows, not analytics or data science use cases.
What You’ll Do

  • Collaborate with engineers to design and execute data migrations between systems

    • Perform data mapping, transformation, validation, and reconciliation

    • Ensure data accuracy and completeness across environments

  • Build and maintain production data pipelines and APIs

  • Develop scripts and services for data movement and validation

  • Model data and analyze source and target schemas

  • Write complex SQL queries and work with relational and NoSQL databases

  • Identify and resolve data quality issues during migration

  • Support the full lifecycle of delivery: design, development, deployment, testing, monitoring, and ongoing support

  • Contribute to discussions around data quality, test strategy, and automation

  • Integrate and manage data flows across multiple systems and applications

  • Design and implement data models that reflect business logic and support application use cases

  • Design and execute complex data migrations between systems, ensuring data integrity and consistency

How You’ll Succeed

  • Deliver stable, well-tested data pipelines and migration solutions

  • Write clean, maintainable production code

  • Maintain strong attention to detail when handling data transformations

  • Communicate clearly with technical teammates and stakeholders

  • Thrive in a collaborative, service-oriented environment

Who You Are

  • 3+ years of experience in a Data Engineering role.

  • Experience working with transactional or financial data is a plus

  • At least 5 years of experience delivering production software solutions

  • Proficient in Python with experience shipping production pipelines

  • Strong hands-on experience with SQL and NoSQL databases (SQL Server and MongoDB preferred)

  • Experience building scripts or services for data movement and validation

  • Familiar with Azure data tools (such as Azure Data Factory, Azure Data Lake, Microsoft Fabric) or comparable platforms

  • Experience using Git or other distributed version control systems

  • Familiar with automated deployments and continuous delivery practices

  • Solid understanding of REST APIs, JSON, testing, security, and performance best practices

  • Bachelor’s degree in Computer Science or related field, or equivalent experience

  • Strong verbal and written communication skills