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Weekend Data Engineer Jobs in Kentucky (NOW HIRING)

$200 - $250/hr

As a member of the Data Engineering Platform (DEP) team -- the foundational layer of our platform -- you will help build scalable backend services and developer tools that make it easier for teams ...

$125 - $150/hr

The Role We're looking for a Data Engineer to join our Data Systems teamand help build the modern data foundation behind our business. This role is all about turning complex data into scalable ...

$150 - $200/hr

As an early data engineer, you'll define not just the pipelines but the standards, architecture, and culture of data at Sapiom. What You Will Do You'll own Sapiom's data infrastructure end-to-end ...

$125 - $150/hr

Data Engineer Lead AIG | Data Office · Data EngineeringAbout The Role The Data Engineer Lead is a hands‑on engineering role within AIG's Data Engineering organization. You will design, build, and ...

$100 - $125/hr

Data Engineer Pay: $100K - $140K + Bonus Locations: - First 90 days on site and then 1 day a week WFH - Plano, TX & Camas, WA Work Authorization: ONLY USC and GC no other visas will be considered.

New

$100 - $125/hr

Position Summary The Data Engineer is a key technical position and plays an important role in the organization by performing several activities related to the company's Information Technology ...

$150 - $200/hr

Collaborate closely with data scientists, product managers, and AI engineers to deliver business‑critical capabilities. * Contribute to architectural decisions, technical standards, and engineering ...

$150 - $200/hr

We're hiring Ondo's first Data Engineer to build the foundational data platform that this work depends on--consolidating fragmented data sources, standing up a unified warehouse in BigQuery, and ...

$80 - $100/hr

Proactively ensure reporting accuracy and data quality, identifying and resolving issues before they impact users * Contribute as an independent engineer, taking initiative with minimal direction and ...

$150 - $200/hr

Department Overview We are seeking a highly skilled Data Engineer III to join the mCDP mParticle engineering team. This role is responsible for designing, developing, and maintaining customer data ...

$125 - $150/hr

Hybrid | Job Code: 244501 Overview / Summary We are seeking a Data Engineer III to design, build, and maintain scalable data solutions, including data infrastructure, pipelines, platforms, and ...

$100 - $125/hr

As a Data Engineer on the Platform Data Engineering team, you will be responsible for developing Python data pipelines that build business data objects used to support applications. What You Will Do:

New

$150 - $200/hr

We are seeking a Data Engineer SME to provide strategic leadership and architectural direction for FEMA-wide data engineering initiatives, including enterprise data lakes, AI/ML pipelines, and ...

$150 - $200/hr

Collaborate with cross-functional teams including Data Scientist, Software Engineers, and Data Analysts to understand data need and deliver innovative solutions * Design, construct, install, test ...

$125 - $150/hr

We are seeking an AIML Data Engineer to own the data pipelines, feature engineering, and telemetry infrastructure that underpin our AIML portfolio -- while also serving as a hands-on analytics ...

$125 - $150/hr

As Lead Data Engineer working within Shared Services (one of our entities),you will be responsible for leading a team of data engineers working on designing, developing, and maintaining scalable data ...

Data Engineer

London, KY · On-site

$100 - $125/hr

About the role We're looking for a Data Engineer who can own the journey of data from source systems to decision-ready outputs. You'll build and maintain pipelines, model data, stand up dashboards ...

$100 - $125/hr

Work with data analysts and BI Developers to guide best practices on data modeling and overall use of Power BI * Perform code review of team members to learn new techniques while providing code ...

$150 - $200/hr

Prominence Advisors is actively seeking a Data Engineer (Snowflake) to join our team. Who We Are Prominence is a healthcare and life sciences technology and consulting firm dedicated to helping ...

$125 - $150/hr

Demonstrated data analysis, parsing, and programming language experience (e.g. Python, Java) coupled withsignificant SQL/database experience * Experience with the full data lifecycle, from ingest ...

Showing results 41-60

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 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:

What job categories do people searching Weekend Data Engineer jobs in Kentucky look for?

The top searched job categories for Weekend Data Engineer jobs in Kentucky are:

Infographic showing various Weekend Data Engineer job openings in Kentucky as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Software Data Engineer

On-site

Apple Inc.
Computer and Electronic Product Manufacturing • 10K+ employees

$200 - $250/hr

Other

Medical, Dental, Retirement

Posted 10 days ago


Key responsibilities

  • Design and build scalable backend services that integrate big data technologies with microservices for real-time and batch data processing

  • Collaborate with internal teams to understand requirements and improve platform capabilities

  • Contribute to the design of intuitive developer tools and automation systems


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Cupertino, California, United States Software and Services

Join Apple's Analytics Platforms & Experiences (APX) team as a Software Engineer and be part of a team that is redefining what modern data engineering looks like. APX is part of Apple Services Engineering — the engine that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store, and more. We build the frameworks, tools, and platform solutions that unlock observability, deliver actionable insights, and enable data quality-driven orchestration at massive scale. Our work drives real, measurable gains in efficiency and productivity across some of Apple's most critical services.As a member of the Data Engineering Platform (DEP) team — the foundational layer of our platform — you will help build scalable backend services and developer tools that make it easier for teams across Apple to build and operate analytics pipelines efficiently. If you are passionate about data engineering, eager to grow, and excited about making a real impact at Apple scale — this is the role for you.

Description

As part of the Data Engineering Platform (DEP) team, you will help design and build the core platform capabilities that teams across Apple rely on every day. You will collaborate closely with experienced engineers, contribute to scalable backend services that integrate big data technologies with microservices, and help shape intuitive developer tools and automation systems that reduce friction and drive productivity. This is a great opportunity for an engineer who wants to grow fast, work on hard problems, and do the best work of their life at Apple.

Responsibilities
  • Design and build scalable backend services that integrate big data technologies with microservices for real-time and batch data processing
  • Collaborate with internal teams to understand requirements and improve platform capabilities
  • Contribute to the design of intuitive developer tools and automation systems
  • Stay informed of industry trends and bring forward innovative ideas
Minimum Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field
  • 3+ years of software engineering experience, with a solid foundation in building and shipping production-quality code
  • Strong proficiency in at least one programming language such as Python, Java, Go, or Scala
  • Understanding of data engineering fundamentals including data pipelines, batch processing, and real-time data streaming
  • Hands-on experience designing and building backend services and APIs
  • Working knowledge of distributed systems and big data technologies such as Spark, Kafka, or Hadoop
  • Exposure to AI-driven development practices with a genuine enthusiasm for leveraging AI tools to improve engineering productivity and code quality
  • A curious, self-driven mindset with a strong interest in how AI is shaping the future of software and data engineering
  • Strong problem-solving ability with a collaborative approach to working across teams
  • Clear and concise communicator who can translate technical concepts for diverse audiences
Preferred Qualifications
  • Hands-on experience with big data technologies such as Apache Spark, Kafka, Flink, or Airflow
  • Some exposure to microservices architecture and cloud platforms such as AWS, GCP, or Azure
  • Familiarity with data orchestration frameworks and pipeline management tools such as Airflow or Prefect
  • Basic experience with containerization tools such as Docker and Kubernetes
  • Awareness of data quality, observability, and monitoring concepts in data pipelines
  • Some exposure to developer tooling, internal platforms, or automation scripting
  • Ability to ramp up quickly, take ownership of tasks, and contribute meaningfully in a collaborative team environment
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976