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

Agentic Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

The Role The Agentic Data Engineer is a preeminent technical expert who designs, builds, and scales industrial-grade data and AI platforms that power vehicle product engineering all the way from ...

Data Engineer II

Austin, TX · On-site +1

$113K - $136K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision-making ...

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

DATA ENGINEER (STARLINK) At SpaceX, we're leveraging our experience building rockets and spacecraft ... Must be available to work extended hours and weekends as needed * Willingness to travel to customer ...

Agentic Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Role The Agentic Data Engineer is a pre-eminent technical expert who designs, builds, and scales industrial-grade data and AI platforms that power vehicle product engineering all the way from ...

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

DATA ENGINEER (STARLINK) At SpaceX, we're leveraging our experience building rockets and spacecraft ... Must be available to work extended hours and weekends as needed * Willingness to travel to customer ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

The Senior Data Engineer contributes to the Enterprise Applications, Data, and AI Platforms group ... weekends, with advance notice and flexible scheduling. • Demonstrate the ability to implement ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

The Data Engineer is accountable for automating the import and export of enterprise data, ensuring data integrity across all internal and external systems, and building reliable, well-documented data ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

The Data Engineer is accountable for automating the import and export of enterprise data, ensuring data integrity across all internal and external systems, and building reliable, well-documented data ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As a Software Engineer on the Data Infrastructure team, you will design, build, and operate the backend data infrastructure that powers how we understand and run our business. This is a backend ...

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Databricks Data Engineer Location: Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) Duration: Long-Term Contract Key Skills: Looking for a Senior Databricks Data Engineer ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

About This Role We're seeking a talented and driven Data Engineer to help us elevate our data platform. This is a high-impact role where you'll contribute to the design and development of scalable ...

Data Engineer

Austin, TX · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

Data Engineer

Austin, TX

$113K - $136K/yr

We are in the midst of re-architecting and rebuilding our core enterprise data platform to support our rapidly growing and evolving business. The technical engineering lead will be a hands-on lead ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Data Engineer

Austin, TX · On-site

$224K - $279K/yr

You treat data quality as an engineering problem: tests, monitoring, and lineage, not spot checks. * You've done real work extracting structure from unstructured sources. * You move fast with AI ...

Showing results 21-40

Weekend Data Engineer information

See Bastrop, TX salary details

$44.3K

$129K

$176.5K

How much do weekend data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for weekend data engineer in Bastrop, TX is $129,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,900.00 and $136,800.00 per year, depending on experience, location, and employer.

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 job categories do people searching Weekend Data Engineer jobs in Bastrop, TX look for?

The top searched job categories for Weekend Data Engineer jobs in Bastrop, TX are:

What cities near Bastrop, TX are hiring for Weekend Data Engineer jobs?

Cities near Bastrop, TX with the most Weekend Data Engineer job openings:

Agentic Data Engineer

General Motors

Austin, TX • Hybrid

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 308 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,322 frontline employees who took The Breakroom Quiz


Job description

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

The Role

The Agentic Data Engineer is a preeminent technical expert who designs, builds, and scales industrial-grade data and AI platforms that power vehicle product engineering all the way from Design through manufacturing and customer support. This role requires deep fluency in data science and agentic AI and is responsible for endtoend technical strategy and execution for Vehicle Product engineering data and intelligent automation.

You will combine deep vehicle product engineering/process understanding with modern data engineering, large-scale distributed systems, and AI/ML literacy to create selfhealing, "agentic" data and decision systems that continuously monitor vehicle design and engineering processes, CAD, detect and explain anomalies, and proactively recommend or execute actions that improve safety, quality, delivery, and cost.

What You'll Do

  • Serve as the principal engineer for vehicle product engineering data platforms and AIready data products supporting the global vehicle design process modernization.
  • Define and drive a technical roadmap for vehicle product engineering and agentic automation in engineering, aligned with GM's Zero Crashes, Zero Emissions, Zero Congestion vision with endtoend ownership, global impact, and crossfunctional influence.
  • Establish reference architectures, governance, and best practices for:
    • Highreliability batch and streaming pipelines from vehicle product design systems like Team Center and others.
    • Semantic models and curated data products for vehicle product domains (design, develop, manufacture).
    • Observability, lineage, quality, and cost management across data and compute layers.

Agentic and Intelligent Systems

  • Design and lead implementation of agentic workflows that use LLMs, rules engines, and ML models to:
    • Continuously monitor vehicle design and engineering process health and critical KPIs
    • Detect anomalies and drift in parts, process, or quality signals and automatically investigate root causes.
    • Trigger contextrich alerts, recommended actions, and where appropriate, closedloop remediations in collaboration with engineering teams.
  • Partner with data scientists and direct responsible engineers (DREs) to turn highvalue models into robust, productiongrade services and agents with clear SLAs, feedback loops, and humanintheloop controls.
  • Define and champion AgentOps practices (evaluation, guardrails, tracing, failure analysis, continuous improvement) for factoryfacing agents and copilots used by engineers, operators, and leaders.

EndtoEnd Delivery and Impact

  • Own design and delivery of the most complex and strategically critical data engineering initiatives in vehicle development-from discovery and technical design through implementation, rollout, and ongoing optimization.
  • Solve previously unsolved or ambiguous problems using firstprinciples thinking and creative, strategically sound technical approaches; set new standards for how data is captured, managed, and used.
  • Ensure solutions are secure, resilient, and scalable across plants and regions, with strong attention to change management, operability, and support models.
  • Translate complex technical and analytical concepts into clear narratives and decision frameworks for senior leaders; influence roadmaps, investment decisions, and prioritization across multiple organizations.

Standards, Governance, and Reuse

  • Define enterpriselevel patterns, standards, and reusable components for:
    • Ingestion of data, systems and test equipment into cloud platforms.
    • Data quality rules, monitors, and remediation playbooks.
    • Semantic modeling, metric definitions, and KPI libraries for vehicle product engineering.
    • Agentic workflows (templates, toolkits, APIs) that can be applied across plants and use cases.
  • Shape and guide technology selection (e.g., lakehouse, streaming, orchestration, feature stores, agent frameworks) and drive convergence on common platforms while balancing local constraints.

Leadership, Mentorship, and Influence

  • Operate as a recognized preeminent expert in data engineering and agentic systems-sought out across GM as the authority for strategy, design reviews, and complex incident/problem resolution.
  • Mentor and coach senior and stafflevel data engineers, data scientists, and ML engineers; elevate technical bar through design reviews, architecture forums, and pair design/implementation.
  • Act as a multiplier by building communities of practice (data engineering, AgentOps) and enabling others through documentation, patterns, and internal training.
  • Represent GM externally (conferences, standards bodies, strategic partners) as an industrylevel expert in data platforms and intelligent automation.

Your Skills & Abilities (Required Qualifications)

  • Bachelor's in Computer Science, Data Engineering, Electrical/Mechanical/Industrial Engineering, or related technical field; or equivalent industry experience.
  • 12+ years of industry experience delivering largescale solutions and leading technical direction in relevant domains.
  • 8+ years of experience in data engineering or closely related roles
  • Strong focus on largescale, missioncritical systems
  • Demonstrated mastery in:
    • Designing and operating largescale data platforms (batch + streaming) on cloud infrastructure.
    • Building reliable, observable pipelines in languages such as Python/Scala/Java and using modern orchestration and workflow tools.
    • Data modeling (relational, columnar, timeseries) and performance optimization for analytics, ML, and realtime decisioning.
  • Strong literacy in data science and ML
  • Experience working with LangGraph, AutoGen, Semantic Kernel, or LlamaIndex

What Can Give You a Competitive Advantage (Preferred Qualifications)

  • Master's degree in Computer Science, Data Engineering, Electrical/Mechanical/Industrial Engineering, or related technical field; or equivalent industry experience.

This job may be eligible for relocation benefits.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Compensation:

  • The expected base compensation for this role is: $248,300 - $315,000. Actual base compensation within the identified range will vary based on factors relevant to the position.
  • Bonus Potential:An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

#LI-CC1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908