ZipRecruiter

Log In

1

Weekend Data Engineering Jobs in Houston, TX (NOW HIRING)

Loves Travel Stops & Country Store

Data Engineer III

Houston, TX · On-site

$104K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design reusable data models and solution architectures using established data engineering and modeling practices. * Provide architectural and technical input to ensure solutions align with enterprise ...

First Citizens Bank

Data Engineer II

Houston, TX · On-site

$105K - $127K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and ... Follow established engineering standards, development practices, documentation requirements, and ...

Dlapiper

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Kanak Elite Services Inc

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

DATA ENGINEER III CONTRACT LENGTH: 6 - 12 MONTH CONTRACT, LOOKING TO THEN CONVERT ONSITE 5 DAYS A ... Strong Python engineering skills and familiarity with software design principles and patterns (e.g ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

  • Medical

  • Dental

  • Vision

  • PTO

The ideal candidate will have strong experience in data engineering, cloud technologies, ETL/ELT development, and data warehousing, along with a passion for delivering high-quality data solutions.

Foxconn Assembly LLC

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Native speaking in Chinese Mandarin with ability to read the language and work in a professional setting. * 3+ years of experience in data engineering, such as data warehousing and ETL pipeline ...

Foxconn Industrial Internet - FII

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Native speaking in Chinese Mandarin with ability to read the language and work in a professional setting. * 3+ years of experience in data engineering, such as data warehousing and ETL pipeline ...

EOG Resources, Inc.

Sr. Data Engineer

Houston, TX

$109K - $131K/yr

Use cloud-based architecture, containerization and streaming technologies, and Python, .NET, Node, Java and SQL to design, implement and support full life-cycle data engineering projects for current ...

INSPYR Solutions

Data Engineer

The Woodlands, TX · On-site

$70 - $85/hr

  • Medical

  • Retirement

Continuously learn and apply the latest in data engineering best practices, tools, and technologies. Skillset / Experience: * 5-7 years of experience in data engineering or related roles. * Proven ...

CEDENT

Azure Data Engineer

Houston, TX

$109K - $131K/yr

Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience * 5 or more years ...

EOG Resources, Inc.

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Use cloud-based architecture, containerization and streaming technologies, and Python, .NET, Node, Java and SQL to design, implement and support full life-cycle data engineering projects for current ...

EOG Resources, Inc.

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Use cloud-based architecture, containerization and streaming technologies, and Python, .NET, Node, Java and SQL to design, implement and support full life-cycle data engineering projects for current ...

NAVA Software Solutions

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

Sugarland TX - 4 days/week onsite Duration: 12 months Design, develop, and support data engineering, data modeling, and data integrations, with a primary focus on accelerating data landing and ...

Strategic Staffing Solutions

Data Engineer

Houston, TX

$109K - $131K/yr

This is a senior, hands-on engineering role responsible for designing, developing, and optimizing scalable cloud-based data platforms and pipelines that enable AI, analytics, and machine learning ...

Guidehouse

Public Health Data Engineer

Houston, TX

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative ...

Guidehouse

Public Health Data Engineer

Houston, TX

$70K - $116K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative ...

previous pagenext page

Showing results 21-40

All JobsData Engineering JobsWeekend Data Engineering JobsWeekend Data Engineering Jobs in Houston, TX

Weekend Data Engineering information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do weekend data engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for weekend data engineering in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as companies seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark remain valuable, and many organizations require support during weekends to ensure continuous data operations.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.

What are the most commonly searched types of Data Engineering jobs in Houston, TX?

The most popular types of Data Engineering jobs in Houston, TX are:

What cities near Houston, TX are hiring for Weekend Data Engineering jobs?

Cities near Houston, TX with the most Weekend Data Engineering job openings:

Weekend Data Engineering jobs near you

Data Engineer III

Loves Travel Stops & Country Store

Houston, TX • On-site

$104K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Love's Travel Stops rating

5.9

Company rating: 5.9 out of 10

Based on 799 frontline employees who took The Breakroom Quiz

402nd of 734 rated retailers

Job description

Req ID: 487733
Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development *
This position is based in Houston, Texas office; candidates in Houston and the surrounding area are required.
Welcome to Love's! The Data Engineer III designs, builds, and supports scalable data solutions that advance Love's enterprise data and analytics capabilities. This role develops and optimizes data pipelines, data models, and integration frameworks that transform data into reliable, accessible, and actionable information.
The Data Engineer III partners with Technology teams, business stakeholders, data scientists, data analysts, vendors, and other data consumers to operationalize data and analytics solutions. The position also provides technical guidance on data architecture, promotes reusable design standards, and uses automation and AI-powered development tools to improve delivery speed, quality, and consistency.
MAJOR RESPONSIBILITIES
  • Design, build, maintain, and optimize data pipelines supporting data acquisition, ingestion, transformation, staging, modeling, and delivery.
  • Develop scalable data integration solutions using ETL/ELT, data replication, change data capture, messaging technologies, APIs, and other data movement methods.
  • Evaluate and qualify source data to support master, reference, and transactional data requirements.
  • Lead data assessment, mapping, migration, validation, enrichment, and loading activities.
  • Design reusable data models and solution architectures using established data engineering and modeling practices.
  • Provide architectural and technical input to ensure solutions align with enterprise data strategies, standards, and long-term platform objectives.
  • Build and support data solutions across data warehouse, data lake, data hub, and related data management environments.
  • Integrate large, complex, and heterogeneous datasets from internal and external sources.
  • Design solutions that are reliable, secure, scalable, maintainable, and focused on automation and operational efficiency.
  • Develop and maintain complex SQL queries, procedures, transformations, and data validation processes.
  • Apply DataOps and DevOps practices, including version control, automated builds, testing, deployment, monitoring, and release management.
  • Troubleshoot complex data quality, integration, performance, and production support issues.
  • Participate in front-end and back-end development activities when needed to deliver integrated, end-to-end data solutions.
  • Assess how architecture decisions affect solution design, development, testing, implementation, and ongoing support.
  • Collaborate with business and Technology partners to translate data requirements into effective technical solutions.
  • Use AI-powered development tools, such as GitHub Copilot, Claude Code, or similar technologies, to accelerate delivery, reduce defects, improve documentation, strengthen automation, and increase consistency throughout the DataOps lifecycle.
  • Research and recommend tools, technologies, and practices that improve data engineering capabilities and team productivity.
  • Provide technical guidance, knowledge sharing, and support to other team members.
  • Perform other job-related duties as assigned.

EXPERIENCE
  • Five or more years of progressively responsible experience in data engineering, data integration, data warehousing, or a related technical discipline required.
  • Experience designing, building, and supporting enterprise-level data pipelines and integration solutions required.
  • Experience working with large, complex, and heterogeneous datasets required.
  • Experience supporting data warehouse, data lake, data hub, or similar data management architectures required.
  • Experience working in cloud-based data platforms and modern data engineering environments required.

HARD SKILLS
  • Advanced knowledge of data engineering, data integration, and data warehousing principles.
  • Strong experience with cloud data warehouse platforms, preferably Snowflake.
  • Strong experience developing and optimizing complex SQL.
  • Strong experience with ETL and ELT tools and methodologies.
  • Strong experience with data modeling and reusable solution architecture practices.
  • Strong experience with Git or similar version-control tools.
  • Strong understanding of automated build, testing, deployment, and release-management practices.
  • Experience with data replication and change data capture tools, such as Fivetran or HVR.
  • Experience with messaging and data movement technologies, such as Azure Service Bus, Apache NiFi, or Apache Kafka.
  • Experience with APIs and API-based data acquisition and integration.
  • Knowledge of data governance, metadata management, data quality, and master data concepts.
  • Understanding of solution architecture and its impact on design, development, testing, deployment, and support.
  • Experience with dbt strongly preferred.
  • Experience with Python or R preferred.
  • Experience with Microsoft SQL Server preferred.
  • Experience with SAP HANA preferred.
  • Experience with Tableau or Power BI preferred.
  • Experience using AI-powered development and productivity tools preferred.

SOFT SKILLS
  • Ability to think strategically while managing detailed technical requirements.
  • Ability to work effectively through ambiguity and changing priorities.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Ability to manage multiple competing priorities in a fast-paced environment.
  • Strong collaboration and relationship-management skills.
  • Ability to communicate technical information clearly to technical and nontechnical audiences.
  • Strong written and verbal communication skills.
  • Sound judgment and an appropriate sense of urgency.
  • Ability to build trust and work effectively within an energy trading arm of the company. This is a fast-moving, high-pressure environment.
  • Ability to think on their feet and respond quickly to shifting priorities and time-sensitive data needs.
  • Commitment to ethical conduct, regulatory compliance, customer service, data stewardship, and business integrity.
  • Demonstrated creativity, accountability, initiative, and attention to detail.

Education
  • High school diploma or equivalent required.
  • Bachelor's degree in Computer Science, Management Information Systems, Information Technology, Business, or a related field preferred.

WORK ENVIRONMENT
  • This position is based in Houston, Texas office; candidates in Houston and the surrounding area are required.
  • This is a fully on-site role requiring in-office presence in the Houston office five days per week; it is not a remote or hybrid position.
  • The role reports to a manager based in the Oklahoma City corporate office.
  • Prolonged sitting, some bending and stooping
  • Eye strain (screen use)
  • Manual dexterity sufficient to operate a computer keyboard and calculator
  • Occasional lifting of up to 25 pounds
  • Requires normal range of hearing and vision
  • Additional hours may be necessary.

Note: The items identified above are representative of those commonly associated with this position but are not exhaustive. Employees may encounter additional or unforeseen responsibilities in the course of their duties.
**This job description should not be construed to imply that these requirements are the exclusive standards of the position. All employees may be required to follow any other instructions, cross train in other positions and to perform other duties as required by workloads.**
Our Culture:
Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture.
Love's is an Equal Opportunity Employer. Veterans encouraged to apply.

What Love's Travel Stops employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply