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Weekend Data Engineer Jobs in Wichita, KS (NOW HIRING)

Bespoke Labs

Data Engineer

Wichita, KS · On-site

$102K - $123K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

AXIUS GROUP LLC

Manufacturing Engineer

Park City, KS

$65K - $84K/yr

Reviews and approves supplier data to ensure manufacturing related requirements are met. * Confers ... This role may require working on a rotating shift basis, including nights, weekends, and overtime ...

AXIUS GROUP LLC

R&D Engineer

Wichita, KS · On-site

Analyze complex data sets and provide clear conclusions and recommendations * Interpret engineering drawings, specifications, and technical requirements * Guide and support R&D Technicians in ...

AXIUS GROUP LLC

Advanced Technology Engineer

Wichita, KS · On-site

Analyze process data, identify trends, and implement improvements to enhance yield, throughput, and ... Engineering Analysis & Technical Leadership * Collect, organize, interpret, and present technical ...

Broetje Automation

Startup Engineer

Wichita, KS · On-site

$34 - $43/hr

Open to working overtime and weekend shifts Job Responsibilities: * Provide electrical and controls engineering expertise in support of new equipment & system introductions * Internal subject matter ...

Broetje Automation

Startup Engineer

Wichita, KS · On-site

$34 - $43/hr

Open to working overtime and weekend shifts Job Responsibilities: * Provide electrical and controls engineering expertise in support of new equipment & system introductions * Internal subject matter ...

NetApp

Media Qualification Engineer

Wichita, KS

$129K - $192K/yr

Our mission is to deliver timely, accurate testing and certification for NetApp storage products-enabling our customers to trust their data to our solutions. You'll partner with internal engineering ...

NetApp, Inc.

Media Qualification Engineer

Wichita, KS · On-site

Our mission is to deliver timely, accurate testing and certification for NetApp storage products-enabling our customers to trust their data to our solutions. You'll partner with internal engineering ...

Knowmadics

Senior Machine Learning Engineer

Wichita, KS · On-site

$93K - $128K/yr

Generate data characteristic requirements for real-time data processing pipelines * Prepare ... A comprehensive understanding of systems programming (a strong proficiency in C would imply this)

Knowmadics

Senior Machine Learning Engineer

Wichita, KS

$93K - $128K/yr

Generate data characteristic requirements for real-time data processing pipelines * Prepare ... A comprehensive understanding of systems programming (a strongproficiencyin C would imply this)

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Weekend Data Engineer information

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$39.8K

$116K

$158.8K

How much do weekend data engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for weekend data engineer in Wichita, KS is $116,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $123,000.00 per year, depending on experience, location, and employer.

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 Wichita, KS? The most popular types of Data Engineer jobs in Wichita, KS are:
What are popular job titles related to Weekend Data Engineer jobs in Wichita, KS? For Weekend Data Engineer jobs in Wichita, KS, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer jobs in Wichita, KS look for? The top searched job categories for Weekend Data Engineer jobs in Wichita, KS are:
Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in Wichita, KS as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, and 5% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $116,045 per year, or $55.8 per hour.

Data Engineer

Bespoke Labs

Wichita, KS • On-site

$102K - $123K/yr

Full-time

Re-posted 14 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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