ZipRecruiter

Log In

1

Weekend Data Engineer Jobs in Lyons, TX (NOW HIRING)

IDEX

Production Supervisor, Weekend Shift

Brenham, TX · On-site

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... Use data and KPI trends to identify opportunities for productivity improvements, waste reduction ...

Tamus

Senior HPC Engineer

College Station, TX · On-site

$11K/mo

Job Title Senior HPC Engineer Agency Texas A&M University Department Technology Services - IT ... This role may require working outside of standard office hours, including evenings, weekends, and ...

US Modules

Quality Control Lead

College Station, TX

$24 - $26/hr

Review inspection reports, testing data, and nonconformance documentation. * Supervise and train ... Collaborate with Production, Engineering, and Maintenance teams to resolve quality issues and ...

next page

Showing results 1-20

All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Lyons, TX

Weekend Data Engineer information

See Lyons, TX salary details

$32.2K

$93.8K

$128.3K

How much do weekend data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for weekend data engineer in Lyons, TX is $93,762.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $99,400.00 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 cities near Lyons, TX are hiring for Weekend Data Engineer jobs? Cities near Lyons, TX with the most Weekend Data Engineer job openings:
Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in Lyons, TX as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,762 per year, or $45.1 per hour.
Senior Data Engineer (Python and Palantir)

Senior Data Engineer (Python and Palantir)

MM International

Lyons, TX • On-site

$82K - $99K/yr

Contractor

Posted 20 days ago

Job description

Job Title:- Senior Data Engineer (Python and Palantir)
Location:- Spring, TX 77389 (On-Site)
Job Type:- Long Term Contract
Could be On-Site Interview
Oil & gas experience is preferred
 
Job Overview:

  • As part of the CCS100 Fusion Team, help build tools that optimize investment and operational decisions in the world-class, scalable carbon capture system that the client is building on the US Gulf Coast.
  • Implement the data layer of the CCS100 application using the Palantir Foundry platform, revising the current design implemented in other technologies.
  • Serve as a knowledge resource regarding Palantir tools for the rest of the CCS100 team.

Key Responsibilities:

  • Quickly come up to speed on the current data organization of the CCS100 product, converting that data model into a Palantir Ontology representation
  • Give suggestions and recommendations on changes to the data model that would improve performance, extensibility, or flexibility of the Palantir solution
  • Set up ingestion and export relationships from the Ontology into other data sources or data stores, ensuring reliability and performance of the connection
  • Implement validations and transforms of the Ontology data as required, taking full advantage of Foundry platform capabilities
  • Create examples or write interface code that will ease connection to Ontology data from other parts of our system

Qualifications:

  • Bachelor’s degree in computer science, engineering, quantitative sciences, or mathematics; alternatively significant practical software project experience
  • Multiple years of experience in building data-heavy applications and/or working as a data engineer
  • Demonstrated proficiency and experience with building applications in Palantir Foundry with focuse on data modeling and utilization of Ontology Manager tool
  • Experienced with using Python to process or transform data
  • Strong analytical thinking skills with ability to assimilate software architectures and data designs quickly
  • Adaptability to rapidly changing priorities and an ability to deliver work on time
  • Good technical communication and collaboration skills; experience working in Agile teams

Preferred Qualification:a

  • Broad experience in other Palantir Foundry tools (e.g. Workshop, Quiver, etc.)

Top 3 Skill Sets/Technologies Required for Qualification:

  • Strong Data Engineering skills and ability to build complex applications applying data science concepts
Palantir Foundry with focus on data modeling and utilization of Ontology Manager tool