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Weekend Data Engineer Jobs in Ohio (NOW HIRING)

Deloitte

Databricks Data Engineer

Cleveland, OH · On-site

$111K - $133K/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 ...

Medpace, Inc.

Data Engineer

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 Information Technology team. This position will work on a ...

campus4tech

Azure Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Data Engineer Contract: 12 Months (potential for conversion/extension) Job Location: Cincinnati, OH (3 days' on-site required) Note: Relocation will work for this role. Candidate have to relocate at ...

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Pay Range: $55/hr - $60/hr Requirement/Must Have: * 7+ years of experience in Data Engineering or related roles. * Strong hands-on experience with Snowflake (SnowSQL, Snowpipe, Streams, Tasks, Data ...

Cleveland Steel Container

Data Engineer

Hudson, OH · On-site

$104K - $125K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers our internal analytics and reporting capabilities. You'll be the primary ...

Hudson Manpower

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Data Engineer IV Location: Cincinnati, OH - onsite Payrate $70/hr on W2. USC and GC Holder candidates only. TOP SKILLS: Must Have Python SQL Nice To Have AWS Sagemaker DBT Snowflake What You'll Do ...

Booz Allen Hamilton

Data Engineer

Beavercreek, OH

$99K - $225K/yr

R0237099 Data Engineer The Opportunity : As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT ...

Booz Allen Hamilton

Data Engineer

Beavercreek, OH · On-site

$99K - $225K/yr

Data Engineer The Opportunity : As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine ...

AMEND Consulting

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Data Engineer Cincinnati, Ohio, United States AMEND is a management consulting firm based in Cincinnati, OH with areas of focus in operations, analytics, and technology. We are focused on ...

Booz Allen Hamilton, Inc.

Data Engineer

Beavercreek, OH · On-site

$99K - $225K/yr

Data Engineer The Opportunity : As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine ...

PNC Bank

Data Engineer

Cleveland, OH · Hybrid

$86K - $172K/yr

As a Data Engineer within PNC's Data Analytics Team, you will be based in Cleveland OH, Pittsburgh PA, Birmingham AL or Dallas TX. - In-office expectations: 5 days-a-week. - Should be comfortable ...

Sarian, Inc.

GCP Data Engineer

Brooklyn, OH · On-site

$107K - $129K/yr

GCP Data Engineer Location: Brooklyn, OH Fulltime position Onsite position JD: * GCP Data Engineer * Experience: * Realtime and batch data integration development experience using GCP services.

Booz Allen Hamilton, Inc.

Data Engineer

Beavercreek, OH · On-site

$99K - $225K/yr

Share Data Engineer The Opportunity : As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT ...

Accenture

Data Engineer

Hartford, OH · On-site

$75 - $85/hr

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include ...

Frch Nelson

Data Engineer

Cincinnati, OH · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports design, planning, construction analytics, and business operations across the firm. This role focuses on ...

Medpace, Inc.

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Prophecy Technologies

Data Engineer - GCP

Dublin, OH · On-site

$110K - $132K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale data pipelines within a hybrid big data architecture , primarily on Google Cloud Platform (GCP) . This ...

Accenture

Data Engineer

Cleveland, OH · On-site

$75 - $85/hr

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include ...

Accenture

Data Engineer

Columbus, OH · On-site

$75 - $85/hr

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include ...

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All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Ohio

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 are popular job titles related to Weekend Data Engineer jobs in Ohio? For Weekend Data Engineer jobs in Ohio, the most frequently searched job titles 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:
Weekend Data Engineer jobs near you
Databricks Data Engineer

Databricks Data Engineer

Deloitte

Cleveland, OH • On-site

$111K - $133K/yr

Other

Posted 28 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. 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 technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Databricks Data Engineer on the Core AI & Data team, you will be responsible for:

  • Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
  • Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
  • Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases
  • Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
  • Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs
  • A successful candidate would possess these skills:
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.

Qualifications Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
  • 3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering
  • 2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
  • Experience implementing data models, data integration patterns, and cloud-based data processing workflows
  • Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Delta Lake, Databricks Workflows, and Unity Catalog
  • Experience using Git-based version control and continuous integration/continuous deployment pipelines
  • Experience supporting batch and streaming data workloads
  • Experience with data warehousing, lakehouse architecture, and performance optimization
  • Experience supporting analytics or machine learning data pipelines
  • Experience working in consulting or client service delivery environments

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Qualifications:

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. 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 technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Databricks Data Engineer on the Core AI & Data team, you will be responsible for:

  • Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
  • Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
  • Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases
  • Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
  • Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs
  • A successful candidate would possess these skills:
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.

Qualifications Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
  • 3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering
  • 2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
  • Experience implementing data models, data integration patterns, and cloud-based data processing workflows
  • Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Delta Lake, Databricks Workflows, and Unity Catalog
  • Experience using Git-based version control and continuous integration/continuous deployment pipelines
  • Experience supporting batch and streaming data workloads
  • Experience with data warehousing, lakehouse architecture, and performance optimization
  • Experience supporting analytics or machine learning data pipelines
  • Experience working in consulting or client service delivery environments

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Education:Bachelor's DegreeEmployment Type:

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