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Weekend Data Engineer Jobs in Ohio (NOW HIRING)

FlightSafety International

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 ...

AndHealth

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Data Engineer Full Time Columbus, OH About Andhealth AndHealth is a healthcare technology company created to radically improve access and outcomes for the most challenging chronic health conditions.

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

Pharmacy Data Management, Inc.

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 transitioning legacy SQL Server and SSRS solutions to a scalable, cloud-based architecture centered on ...

Smart Data

Senior Data Engineer

Cincinnati, OH

$101K - $138K/yr

Sr. Data Engineer for Cincinnati OH Will work on the projects from inception to end using Azure cloud technologies like PySpark, Spark SQL, Azure Data Lake Storage, Azure Data Factory, Azure SQL ...

The Hartford

GCP Data Engineer

Columbus, OH · Hybrid

$110K - $132K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

RIT Solutions, Inc.

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

RIT Solutions, Inc. is seeking an experienced Data Engineer to support a major bank‐to‐bank migration. This role involves building data pipelines, supporting conversion cycles, and ensuring ...

AndHealth

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Data Engineer Full Time Columbus, OH About Andhealth AndHealth is a healthcare technology company created to radically improve access and outcomes for the most challenging chronic health conditions.

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 ...

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 ...

Booz Allen Hamilton

Software Data Engineer

Beavercreek, OH · On-site +1

$106K - $127K/yr

Software Data Engineer The Opportunity: Are you looking for an opportunity not just to analyze data, but to architect real-time analytics platforms that deliver critical insights in the defense ...

AmTrust North America

Data Engineer III

Dallas, TX · On-site

$113K - $136K/yr

Overview AmTrust is seeking a highly motivated and accomplished Cloud Data Engineer with expertise in Azure Databricks, Azure Synapse Analytics, SQL, and cloud-based data platforms. The ideal ...

New

Hudson IT

DATA ENGINEER IV

Cincinnati, OH · On-site

$70/hr

Data Engineer IV Location: Cincinnati, OH - onsite Payrate $70/hr on W2. TOP SKILLS: Must Have Python SQL Nice To Have AWS Sagemaker DBT Snowflake What You'll Do Squad: Machine Learning Data ...

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 ...

Medpace, Inc.

Data Engineer

Cincinnati, OH · On-site

$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 ...

Bespoke Labs

Data Engineer

Toledo, OH · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Medpace

Data Engineer

Cincinnati, OH · On-site

$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 ...

National Church Residences

Azure Data Engineer

Dublin, OH · On-site

$110K - $132K/yr

As an individual contributor and Data Engineering owner, you play a key role in shaping a scalable and well-designed data environment, while applying strong engineering judgment and pragmatic ...

Apex Systems

Data Engineer

Columbus, OH · On-site

$40 - $55/hr

Job#: 3043889 Data Engineer Location: Columbus, OH (Onsite) Pay: $40-$55/hr Role Overview A motivated AWS Data Ingestion Specialist is being sought to support a growing workflow platform that manages ...

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Showing results 41-60

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

Weekend Data Engineer information

What is a weekend data engineer?

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 are the key skills and qualifications needed to thrive as a weekend data engineer?

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 typical expectations and work patterns for a weekend data engineer?

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 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 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

Lead Data Engineer

FlightSafety International

Columbus, OH • On-site

$107K - $129K/yr

Full-time

Re-posted 12 days ago

FlightSafety International rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

8th of 223 rated education and training

Job description

About FlightSafety International

FlightSafety International is the world’s premier professional aviation training company and supplier of flight simulators, visual systems and displays to commercial, government and military organizations. The company provides training for pilots, technicians and other aviation professionals from 167 countries and independent territories. FlightSafety operates the world’s largest fleet of advanced full-flight simulators and award-winning maintenance training at Learning Centers and training locations in the United States, Canada, France and the United Kingdom.

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 environment. This role provides technical leadership to Senior Data Engineers and Senior Analytics Engineers, ensuring best practices in data engineering, analytics, and reporting. The Lead Data Engineer plays a key role in strategic initiatives, driving the design and delivery of scalable data platforms, and enabling actionable insights through advanced Power BI dashboards and reports.

Tasks and Responsibilities
  • Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with architectural standards and business goals
  • Provide technical mentorship and guidance to Senior Data Engineers and Senior Analytics Engineers
  • Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and DBT
  • Lead the development of Data Vault 2.0 models and ensure consistency across projects
  • Architect and orchestrate data workflows using Databricks LakeFlow, Apache Airflow, and ADF
  • Oversee data ingestion and replication strategies using tools such as Fivetran, SQDR, Rivery, or custom Python scripts
  • Develop and optimize Power BI dashboards, reports, and semantic models to support business intelligence and self-service analytics
  • Collaborate with business stakeholders, architects, and analysts to translate requirements into technical solutions
  • Ensure data quality, governance, and security standards are met across all data products
  • Lead code reviews, enforce development standards, and promote best practices in data engineering and analytics
  • Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting assets
  • Troubleshoot and resolve complex data issues in production and development environments
  • Contribute to enterprise data strategy and participate in architectural review boards
  • Maintain documentation for data architecture, pipelines, and reporting solutions
  • Infrequent travel as needed
Minimum Education
  • Bachelor's degree from an accredited institution or equivalent industry experience
Minimum Experience
  • 12+ years of experience in data engineering or software development roles
  • 3+ years in a technical leadership or lead engineer capacity
  • 5+ years of experience with Azure Data Factory and Azure Data Lake Storage
  • 3+ years of experience with Databricks, Delta Live Tables, and Unity Catalog
  • 3+ years of experience with Power BI dashboard and report development
  • 2+ years of experience with DBT and Apache Airflow
  • Experience with Data Vault 2.0 modeling (certification preferred)
  • Strong experience with Python, PySpark, and SQL
Knowledge, Skills, Abilities
  • Deep expertise in cloud data platforms, especially Azure and Databricks
  • Strong understanding of ELT/ETL, data modeling, and data warehousing principles
  • Proven ability to lead and mentor technical teams in a collaborative environment
  • Advanced skills in Power BI, including DAX, Power Query, and data modeling
  • Experience with data ingestion and replication tools (e.g., Fivetran, SQDR, Rivery)
  • Proficiency in Python, PySpark, and SQL for data transformation and automation
  • Experience orchestrating workflows using Apache Airflow and Databricks LakeFlow
  • Familiarity with DevOps, CI/CD pipelines, and version control systems (Git, TFS)
  • Strong communication and stakeholder engagement skills
  • Knowledge of data governance, metadata management, and compliance frameworks
  • Experience with Agile/Scrum methodologies
  • Exposure to AI/ML tools and concepts within Databricks is a plus
  • Experience in Education or Aviation industries is a plus
Physical Demands and Work Environment

The physical demands and work environment described here are representative of those that must be met and/or encountered by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; and communicate. The employee may be required to stand, walk, and sit. Specific vision abilities required by this job include the ability to view monitors, technical documents, and reference material. The employee must occasionally lift or move up to 25 pounds. The noise level in the work environment is usually low to moderate.

FlightSafety is an Equal Opportunity Employer/Vet/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Any offer of employment is contingent upon successful completion of required compliance reviews, including verification that the candidate is not prohibited from employment under U.S. economic sanctions programs administered by the U.S. Department of the Treasury’s Office of Foreign Assets Control (OFAC).
This position may require access to export-controlled technology or services subject to the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR). Employment consideration and any offer of employment are contingent upon the applicant’s ability to comply with these requirements, including qualifying as a “U.S. Person” under applicable regulations or otherwise eligible for export authorization within a timeframe consistent with business needs. A “U.S. Person” includes U.S. citizens, lawful permanent residents (holders of approved and unexpired green cards), and certain refugees or asylees with protected status under U.S. law.
 
This position may also require eligibility to obtain and maintain a U.S. Government security clearance for the duration of employment.

Cybersecurity Notice: All official recruiting communication from FlightSafety International will come from an @flightsafety.com email address.  FlightSafety International will never ask for personal or financial information through social media or third-party email providers.

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