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Weekend Data Engineer Jobs in Kentucky (NOW HIRING)

SENIOR DATA ENGINEER

Erlanger, KY

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data foundation that powers decision-making across The Fischer Group. You'll design, develop, and maintain ...

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data foundation that powers decision-making across The Fischer Group. You'll design, develop, and maintain ...

Lockheed Martin is looking for a Data Engineer who will deliver end to end, full stack data solutions across the complete data processing pipeline. You will apply systems engineering principles to ...

Project - Data Engineer II

Louisville, KY · On-site

$110K - $132K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If ...

LockheedMartin is looking for a Data Engineer who will deliver end to end, full stack data solutions across the complete data processing pipeline. You will apply systems engineering principles to ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Data Bricks engineer

Louisville, KY · On-site

$110K - $132K/yr

Role Description: Data Bricks engineer with Experience in AEP integrations Essential Skills: Data Bricks engineer with Experience in AEP integrations Desirable Skills: Not listed Keywords: Not listed ...

AI Engineer

Louisville, KY · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine ...

The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and ... Lead complex data science projects from conception to implementation, working with various ...

Showing results 21-40

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 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?

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?

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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$104K - $142K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 15 days ago


Job description

Job Summary

As a Senior Data Engineer, you will play a key role in building and evolving the data foundation that powers decision-making across The Fischer Group. You'll design, develop, and maintain scalable data pipelines and modern Lakehouse/Warehouse solutions on the Microsoft Fabric platform, ensuring business data is accurate, reliable, and analytics-ready. In this role, you'll help modernize our data ecosystem by migrating legacy solutions, establishing engineering best practices, and partnering with Analytics, Business Intelligence, and IT teams to deliver trusted data that drives business insights. If you enjoy solving complex data challenges, building cloud-native solutions, and shaping the future of enterprise analytics, this role offers the opportunity to make a lasting impact.

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

You will thrive in this role if you:

  • Enjoy designing scalable data solutions that enable better business decisions.
  • Are passionate about building reliable, high-performing cloud data platforms.
  • Take ownership of data quality, governance, and pipeline reliability.
  • Enjoy solving complex technical challenges while continuously improving existing processes.
  • Thrive in collaborative environments where you partner with Analytics, Business Intelligence, and Software Development teams.
  • Stay current with emerging technologies and enjoy applying modern engineering practices to improve efficiency.
  • Like mentoring others and helping establish engineering standards across a growing team.

These skills will be used to:

  • Design, build, and maintain scalable ETL/ELT pipelines using Microsoft Fabric and related cloud technologies.
  • Develop and optimize Lakehouse and Data Warehouse architectures for performance, scalability, and cost efficiency.
  • Modernize legacy SSIS and on-premises data solutions by migrating them to cloud-based platforms.
  • Build reliable, automated data ingestion processes using incremental loading, orchestration, and monitoring best practices.
  • Implement data quality testing, validation, and governance to ensure trusted, analytics-ready datasets.
  • Partner with Analytics Engineering to deliver clean, curated data that supports enterprise reporting and self-service analytics.
  • Establish reusable engineering patterns, documentation, and development standards for the Data Engineering team.
  • Troubleshoot and resolve production pipeline issues while continuously improving reliability and operational performance.
  • Mentor junior engineers and contribute to continuous improvements in source control, CI/CD, and deployment processes.

Required Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.
  • Three (3)+ years of experience designing, building, and supporting enterprise data pipelines (ETL/ELT) in a production environment.
  • Strong proficiency in SQL and experience with Python (PySpark preferred).
  • Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake, or a similar cloud data platform.
  • Experience implementing data ingestion strategies, incremental loading, watermarking, and reliable pipeline architecture.
  • Experience with source control and CI/CD practices using Git or similar tools.
  • Strong analytical, problem-solving, communication, and organizational skills.

Preferred Qualifications:

  • Microsoft Certified: Fabric Data Engineer Associate (DP-700), or actively pursuing certification.
  • Experience migrating legacy SSIS or on-premises data environments to cloud-based Lakehouse architectures.
  • Experience with data quality frameworks, pipeline monitoring, and data contracts.
  • Familiarity with dimensional modeling (Kimball methodology).
  • Experience working in Agile environments using Scrum or Kanban methodologies.
  • Experience mentoring or leading other Data Engineers.
  • Understanding of AI, Machine Learning, and generative AI technologies.
  • Experience implementing AI-enabled solutions or machine learning models within enterprise data environments.

Physical Demands and Work Environment:

  • Must be able to use verbal communication skills to effectively interact with associates, business partners, and customers.
  • Must be able to perform repetitive motions and use fine motor skills while operating standard office equipment.
  • Must be able to lift and carry approximately 20-25 pounds unassisted.
  • Must be able to remain seated for extended periods with occasional standing, walking, and reaching.

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.