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Weekend Data Engineer Jobs in Kentucky (NOW HIRING)

$150 - $200/hr

We have a full-time job opportunity of Data Engineer in San Francisco, California (Hybrid). Location: San Francisco, California (Hybrid, 3 times a week at client's office in the Bay Area ...

$125 - $150/hr

Data Engineer Location: Austin, Texas (Onsite) Role Overview We are seeking a Data Engineer to design, build, and maintain scalable data pipelines. This role involves partnering with business and ...

$100 - $125/hr

Overview The Data Engineer plays a pivotal role within our expanding Data and AI team. This person helps build and scale our next-generation data platform, starting with our modernization initiative ...

New

$150 - $200/hr

Director, Data Engineering Location: Remote (U.S.) Position Summary Penn Foster Group is seeking an experienced Lead Data Engineer to help shape the future of our enterprise data platform and AI ...

$150 - $200/hr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data pipelines to process and integrate structured and unstructured data. * Design end-to-end data solutions ...

$100 - $125/hr

You will join the engineering team behind our new mid-market analytics platform, building the data foundations that power reporting, dashboards, and product insights. You will work across data ...

$80 - $100/hr

Collaborate with Data Scientists and Machine Learning Engineers to understand model input requirements * Transform the data to meet machine learning model input requirements * Provide post-modeling ...

$150 - $200/hr

The ideal candidate is a hands‑on data engineering professional with deep expertise in Snowflake, cloud-based data platforms, and modern ELT/ETL architectures. This individual will collaborate ...

$80 - $100/hr

Our Data Engineering team builds and supports trusted, scalable, and secure data platforms that power analytics, reporting, forecasting, and machine learning solutions across the enterprise If you ...

$125 - $150/hr

The ideal candidate is a hands‑on data engineering professional with deep expertise in Snowflake, cloud-based data platforms, and modern ELT/ETL architectures. This individual will collaborate ...

$125 - $150/hr

Design AWS data engineering components including Lambda, S3, and database integrations. * Build and operate data pipelines that integrate AWS systems with Snowflake. * Implement Snowflake AI ...

$80 - $100/hr

Role Summary The Data Engineer supports the delivery of modern data solutions across commercial, operational, and enterprise domains within CSA engagements. The role focuses on building and ...

Data Engineer

Louisville, KY · On-site

$110K - $132K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

$100 - $125/hr

The Data Engineer II will also leverage Artificial Intelligence (AI), Generative AI, and AI-assisted development tools to improve development efficiency, automate data engineering workflows, and ...

$125 - $150/hr

We're looking for a talented Data Engineer IV to join our team supporting a complex Federal Government customer in Northern Virginia (Alexandria/Falls Church area) . This individual will serve as a ...

$125 - $150/hr

Position Overview SteerBridge is seeking a Data Engineer (Mid-Level, 3+ years) to join our growing Aviation team at our headquarters in Tysons Corner (Vienna, VA). In this role, you will support a ...

New

$150 - $200/hr

Senior Data Engineer Information Technology All Practice Areas Austin, TX, Boston, MA, Charleston ... weekends, with advance notice and flexible scheduling. * Demonstrate the ability to implement data ...

$125 - $150/hr

A Day in the Life The Senior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and workflows that support analytics, business intelligence, machine ...

$125 - $150/hr

We are looking for a Palantir Data Engineer to join our data engineering team! We are seeking someone with experience in Palantir Foundry and PySpark or Python. In this role, you will design, develop ...

New

$200 - $250/hr

Breeze Airways is looking for an experienced and highly skilled Staff Data Engineer to join our Data Engineering team. The ideal candidate is a disciplined thinker who can distill complex ...

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 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:

Infographic showing various Weekend Data Engineer job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

$150 - $200/hr

Other

Posted 6 days ago


Job description

We have a full-time job opportunity of Data Engineer in San Francisco, California (Hybrid).

Location: San Francisco, California (Hybrid, 3 times a week at client’s office in the Bay Area)

Responsibilities
  • Design, develop, test, deploy, and maintain scalable Big Data solutions.
  • Manage project priorities, deadlines, and deliverables across multiple initiatives.
  • Build and optimize data pipelines using Spark and other distributed processing frameworks.
  • Develop software using modern programming languages such as Java or Scala.
  • Work with both relational (e.g., MySQL, Postgres) and NoSQL databases.
  • Integrate and manage data workflows using tools like Hive, Impala, OOZIE, Airflow, NIFI, and Kafka.
  • Write shell scripts and manage deployments in Linux/Unix environments.
  • Collaborate with cross-functional teams in agile ceremonies including daily stand-ups, story pointing, and retrospectives.
  • Mentor junior engineers and foster a culture of continuous improvement and technical excellence.
Skills/Experience
  • Extensive experience as a Big Data engineer, with expertise in cloud or on-premise data platforms.
  • Proficient in at least one modern programming language (Java, Scala, or Python).
  • Strong foundation in computer science principles including object-oriented design, data structures, algorithms, and complexity analysis.
  • Deep experience with Spark and distributed data processing.
  • Hands-on experience with both SQL and NoSQL databases.
  • Familiarity with data orchestration and streaming tools (Kafka, Airflow, NIFI, etc.).
  • Comfortable working in Linux/Unix environments with basic shell scripting skills.
  • Proven ability to design and develop software systems at scale.
  • Strong understanding of Agile methodologies, with the ability to drive iterative delivery and cross-team collaboration.
  • Strong communicator with the ability to explain complex concepts to both technical and non-technical audiences, and to influence stakeholders across product, engineering, and acquisition teams.

Bachelor’s degree in Computer Science, Data Analytics, Mathematics, Software Engineering, or a related field or equivalent practical experience

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