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Weekend Data Engineer Jobs in Kentucky (NOW HIRING)

SENIOR DATA PLATFORM ENGINEER

Erlanger, KY

$104K - $142K/yr

Job Summary As an IT Senior Data Platform Engineer at Fischer Homes, you will serve as the technical owner of our enterprise data platform, ensuring the performance, availability, security, and ...

SENIOR DATA PLATFORM ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As an IT Senior Data Platform Engineer at Fischer Homes, you will serve as the technical owner of our enterprise data platform, ensuring the performance, availability, security, and ...

SENIOR DATA PLATFORM ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As an IT Senior Data Platform Engineer at Fischer Homes, you will serve as the technical owner of our enterprise data platform, ensuring the performance, availability, security, and ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Senior AI Engineer

Louisville, KY · On-site

$100K - $137K/yr

The Senior AI Engineer will work closely with senior engineers and architects to deliver production ... Integrate enterprise data platforms, APIs, and services through well-defined contracts and ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. * Manage the execution of data science ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. * Manage the execution of data science ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. * Manage the execution of data science ...

Data Center Technician

Hebron, KY · On-site

$30 - $36/hr

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ... weekends, or non-standard hours as needed Legal authorization to work in the U.S. without ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. * Manage the execution of data science ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. * Manage the execution of data science ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. * Manage the execution of data science ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. * Manage the execution of data science ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. * Manage the execution of data science ...

Provide guidance and training on the use of engineering principles and data to troubleshoot ... Participation on plant weekend team with rotating coverage (typically 6-8 weekends per year ...

New

Provide guidance and training on the use of engineering principles and data to troubleshoot ... Participation on plant weekend team with rotating coverage (typically 6-8 weekends per year ...

New

Senior Applied AI Engineer

Louisville, KY · On-site +1

$100K - $137K/yr

The hiring team owns a large data store in Databricks Unity Catalog containing all ITSM data that this role will leverage for their work. You will work closely with data engineering and business ...

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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 Kentucky? The most popular types of Data Engineer jobs in Kentucky are:
What are popular job titles related to Weekend Data Engineer jobs in Kentucky? For Weekend Data Engineer jobs in Kentucky, the most frequently searched job titles are:
Infographic showing various Weekend Data Engineer job openings in Kentucky as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
SENIOR DATA PLATFORM ENGINEER

SENIOR DATA PLATFORM ENGINEER

Fischer Homes

Erlanger, KY

$104K - $142K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Job Summary
As an IT Senior Data Platform Engineer at Fischer Homes, you will serve as the technical owner of our enterprise data platform, ensuring the performance, availability, security, and modernization of our SQL Server and cloud database environments. This role blends hands-on database administration, cloud engineering, automation, and cross-functional collaboration to support mission-critical systems and analytics initiatives.

This position is 100% onsite, day 1 in our Erlanger, KY office.

You will thrive in this role if you:

  • Communicate effectively with developers, infrastructure teams, analytics partners, and business stakeholders to deliver secure, scalable data solutions.
  • Take ownership of production reliability and proactively prevent issues through monitoring, automation, and strong operational standards.
  • Analyze incidents to root cause and implement long-term, automated solutions to eliminate repeat failures.
  • Adapt quickly to evolving technologies and cloud platforms while maintaining operational stability.
  • Lead modernization initiatives with a strategic mindset while remaining hands-on in technical execution.

These skills will be used to:

  • Administer, optimize, and maintain Microsoft SQL Server environments including performance tuning, indexing, patching, capacity planning, and HA/DR design.
  • Design, implement, and routinely test backup/restore and disaster recovery capabilities.
  • Lead the transition from self-managed SQL Server environments to managed cloud database services such as Amazon RDS for SQL Server and Azure SQL Managed Instance.
  • Build proactive monitoring, alerting, and observability standards across SQL Server, SSIS, Azure Data Factory, and cloud services.
  • Implement database security best practices including least privilege access, encryption, credential management, and auditing controls.
  • Drive scripting and automation initiatives using PowerShell and/or Python to standardize provisioning and operational processes.
  • Partner with Infrastructure on infrastructure-as-code (IaC), governance guardrails (RBAC, logging, tagging), and CI/CD-enabled database deployments.
  • Modernize data movement patterns, including CDC and incremental ingestion strategies, to enable scalable downstream analytics (e.g., Microsoft Fabric/OneLake).
  • Standardize ETL/ELT practices with strong logging, monitoring, retries, and documentation.
  • Lead incident response, root cause analysis, and postmortem documentation to reduce operational risk.
  • Support secure SaaS/vendor integrations and collaborate across Application Development, Analytics, HR, Finance, and Operations.

Qualifications:

  • 6+ years of hands-on Microsoft SQL Server administration experience in production environments, including performance tuning, HA/DR, and backup/restore.
  • Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience.
  • Experience supporting SQL Server in AWS and/or Azure environments, including networking and identity fundamentals.
  • Strong SQL expertise with the ability to partner with developers on schema optimization and query performance improvements.
  • Strong scripting and automation experience using PowerShell and/or Python.
  • Demonstrated experience building monitoring, alerting, and incident response processes.

Preferred Qualifications:

  • Experience with managed database services such as Amazon RDS for SQL Server and/or Azure SQL Managed Instance.
  • Experience with SSIS, Azure Data Factory, or similar data orchestration tools.
  • Experience with infrastructure-as-code and CI/CD workflows.
  • Experience designing CDC/incremental ingestion patterns for analytics or lakehouse platforms.
  • Familiarity with SLOs/SLIs, operational runbooks, change management, and postmortem practices.
  • Understanding of AI/ML fundamentals and experience supporting AI-enabled data workloads in enterprise environments

Physical demands and work environment:

  • Must have use of sensory skills to effectively communicate and interact with other employees and the public through use of the telephone and face-to-face contact.
  • Must have the capability to effectively use and operate various items of office-related equipment such as but not limited to the computer, calculator, copier, and printers.
  • Must be able to sit for long periods of time with low periods of reaching and standing.
  • Must be able to travel to company offices, division locations, or field sites as required.

The Value of a Career with The Fischer Group
The Fischer Group is a family of companies focused on delivering exceptional experiences across homebuilding, financial services, and real estate. Through our businesses, we are committed to quality, growth, and long-term success for both our customers and our Associates.
We believe our success is driven by our people. We seek out talented individuals and provide the training, resources, and support needed to grow their careers and make a meaningful impact. The rewards for their efforts are:

  • Professional Development Training programs
  • Health Insurance
  • Tuition Reimbursement
  • Competitive Compensation
  • 401(k) with Company matching contributions and profit-sharing
  • Employee Life Insurance
  • Personal time off
  • Inclusive Leave

The Fischer Group holds the highest ethical standards of business. We are honest and straightforward and stand by our word. Our actions demonstrate respect, courtesy, and fairness.