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Weekend Data Engineer Jobs in Cincinnati, OH (NOW HIRING)

84.51°

Senior Data Engineer (P1129)

Cincinnati, OH · On-site

$98K/yr

Our data engineers use PySpark/Python, Databricks, and other data engineering technologies and visualization tools to deliver data capabilities and services to our scientists, products, and tools.

Medpace, Inc.

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/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 ...

Medpace, Inc.

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site +1

$109K - $132K/yr

Collect, analyze and document user requirements working with AI engineers to align data sources to downstream integration within systems; * Create software applications that support the understanding ...

Vurvey Labs

AI Software/ Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

They are seeking a versatile AI Software Engineer to bridge AI initiatives with production engineering, focusing on building data pipelines and operationalizing AI features. Responsibilities : • ...

AMEND Consulting

Senior Data Engineer

Cincinnati, OH · On-site

$103K - $140K/yr

They are seeking a Senior Data Engineer to design cutting edge analytic solutions, optimize data architecture, and work with various stakeholders to improve data infrastructure. Responsibilities ...

Medpace, Inc.

Senior Data Engineer

Cincinnati, OH · On-site +1

$101K - $138K/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 ...

AMEND Consulting

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

The Senior Data Engineer consultant role is an incredibly exciting position in the fastest growing segment of AMEND. You will be working to solve real-world problems by designing cutting edge ...

AMEND Consulting

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

The Senior Data Engineer consultant role is an incredibly exciting position in the fastest growing segment of AMEND. You will be working to solve real-world problems by designing cutting edge ...

EssilorLuxottica Group

Data & ML Engineer

Mason, OH

$107K - $129K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

Essilor

Data & ML Engineer

Mason, OH

$107K - $129K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

EssilorLuxottica

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

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Showing results 41-60

All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Cincinnati, OH

Weekend Data Engineer information

See Cincinnati, OH salary details

$42.7K

$124.5K

$170.3K

How much do weekend data engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for weekend data engineer in Cincinnati, OH is $124,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $131,900.00 per year, depending on experience, location, and employer.

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 Cincinnati, OH?

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

What are popular job titles related to Weekend Data Engineer jobs in Cincinnati, OH?

For Weekend Data Engineer jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer jobs in Cincinnati, OH look for?

The top searched job categories for Weekend Data Engineer jobs in Cincinnati, OH are:

Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,460 per year, or $59.8 per hour.

Senior Data Engineer (P1129)

Cincinnati, OH • On-site

84.51°
See more jobs at 84.51°external

$98K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

84.51° Overview:
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
84.51° follows a 5-day in-office work schedule to support collaboration, alignment, and team connection.
Join us at 84.51°!
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status)
As a Senior Data Engineer, you will have the opportunity to build solutions that ingest, transform, store, and distribute our big data to be consumed by data scientists and our products.
Our data engineers use PySpark/Python, Databricks, and other data engineering technologies and visualization tools to deliver data capabilities and services to our scientists, products, and tools.
This role will also have exposure to Python microservice development, leveraging FastAPI, Helm, AKS and other Aure based technologies for building and hosting applications at scale.
RESPONSIBILITIES: Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC. This includes internal and external facing applications as well as process improvement activities:
  • Participate in the design and development of Databricks and Cloud-based solutions
  • Implement automated unit and integration testing
  • Collaborate with architecture and lead engineers to ensure consistent development practices
  • Provide mentoring to junior engineers
  • Participate in retrospective reviews
  • Participate in the estimation process for new work and releases
  • Collaborate with other engineers to solve and bring new perspectives to complex problems
  • Drive improvements in data engineering practices, procedures, and ways of working
  • Embrace new technologies and an ever-changing environment

QUALIFICATIONS, SKILLS & EXPERIENCE
  • 3+ years proven ability of professional Data Development experience
  • 3+ years proven ability of developing with Databricks
  • 3+ years of experience with PySpark/Spark
  • 3+ years of experience developing with either Python or Java
  • Full understanding of ETL concepts and Data Warehousing concepts
  • Experience with Pipeline Orchestration
  • Experience with CI/CD
  • Experience with version control software
  • Strong understanding of Agile Principles (Scrum)
  • Demonstrates an understanding of AI concepts and patterns.
  • Bachelor's Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)

Desired Characteristics & Technical Skills:
  • Experience with Azure
  • Experience with Databricks Delta Tables, Delta Lake, Delta Live Tables
  • Proficient with Relational Data Modeling
  • Experience with CI/CD pipelines
  • Experience with Python Library Development
  • Experience with FastAPI/Flask service development
  • Experience working with AKS/Kubernetes/Helm
  • Experience with DevOps / Monitoring & Reliability
  • Experience with Structured Streaming (Spark or otherwise)
  • Experience with Kafka and/or Azure Event Hub
  • Experience with Github SaaS / Github Actions
  • Experience with Terraform
  • Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.)

#LI-AB1
Pay Transparency and Benefits
  • The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
  • Below is a list of some of the benefits we offer our associates:
    • Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
    • Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
    • Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Pay Range
$98,000-$169,050 USD

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