1

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

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer I

Houston, TX · On-site

$109K - $131K/yr

Data Engineer I is responsible for implementing business applications services and integrations projects. These projects will involve developing, maintaining and troubleshooting Rest APIs, SQL and Pl ...

The Data Engineer or Data Scientist enables data-driven decision-making across the enterprise. This role builds the infrastructure and analytics models that convert raw data into actionable insights ...

Sr Databricks Data Engineer

Houston, TX · On-site

$109K - $131K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Advisor II, Data Engineer

Houston, TX · On-site

$108K - $133K/yr

Apply data engineering and DevOps practices, including source control, branching, CI/CD pipelines, deployment automation, and release support across development, test, and production environments.

Advisor II, Data Engineer

Houston, TX · On-site

$108K - $133K/yr

Apply data engineering and DevOps practices, including source control, branching, CI/CD pipelines, deployment automation, and release support across development, test, and production environments.

Senior Data Engineer

Houston, TX · On-site

$80K - $133K/yr

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience ...

Senior Data Engineer

Houston, TX · On-site

$80K - $133K/yr

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience ...

Data Engineer

Houston, TX · On-site

$80/hr

Design, develop, and maintain data pipelines and infrastructure to collect, process, and analyze large datasets. Implement ETL processes, optimize database performance, and ensure data quality and ...

AI Data Engineer

Spring, TX · On-site

$101K - $122K/yr

They are seeking an AI Data Engineer with expertise in data structures and AI/ML workflows, responsible for designing data pipelines, integrating AI analytics, and collaborating with data modelers to ...

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Drone Data Engineer Job Location: Houston, Tx Job Type: Contract * Drone Data Execution Engineer Skydio * Drone Operations Data Execution * Plan execute and optimize drone missions for inspection ...

SR Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Summary/Objective Alliance Technical Group is seeking an experienced Senior Data Engineer to design, build, and optimize the databases and data systems that power our business intelligence and ...

Snowflake Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Snowflake Data Engineer will: * Build automated and manual data ingestion pipelines into Snowflake. * Implement transformations and mappings across the ingestion layers. * Develop reusable data ...

AWS Data Engineer

Houston, TX · On-site

$109K - $131K/yr

What you will do Data platform engineering • Design and build data pipelines across a medallion lakehouse architecture, from source ingestion through curated, governed data products. • Build on ...

Senior Data Engineer

Houston, TX · On-site

$91K - $124K/yr

SENIOR DATA ENGINEER The Senior Data Engineer designs, builds, and owns the enterprise data platform that powers analytics and data-driven decision-making across the organization's global operations.

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

SENIOR DATA ENGINEER The Senior Data Engineer designs, builds, and owns the enterprise data platform that powers analytics and data-driven decision‑making across the organization's global ...

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX Experience;- 10+ Years Responsibilities Perform ETL, ELT operations and administration using modern ...

Showing results 41-60

Weekend Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do weekend data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for weekend data engineer in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 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 are the most commonly searched types of Data Engineer jobs in Spring, TX?

The most popular types of Data Engineer jobs in Spring, TX are:

What are popular job titles related to Weekend Data Engineer jobs in Spring, TX?

For Weekend Data Engineer jobs in Spring, TX, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Weekend Data Engineer job openings in Spring, TX as of June 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,433 per year, or $55.5 per hour.

Public Health Data Engineer

Houston, TX • On-site

$109K - $131K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Key responsibilities

  • Support the development, testing, and maintenance of data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources.

  • Assist in implementing and enhancing data models, databases, and cloud-based data solutions.

  • Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities.


Job description

Job Family:Data Science & AnalysisTravel Required:Up to 10%Clearance Required:Ability to Obtain Public TrustWhat You Will Do:Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. 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 environment.Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources.Support the implementation and enhancement of data models, databases, and cloud-based data solutions.Participate in data integration, migration, and modernization initiatives under the guidance of senior engineers.Develop and maintain scripts, queries, and applications using technologies such as Python, SQL, and PySpark.Support cloud-based data environments and services in AWS and Azure.Assist with the implementation of CI/CD processes and software development best practices using Git and related tools.Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities.Perform data validation and quality assurance activities to help ensure data accuracy, completeness, and reliability.Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high-quality solutions.Document technical processes, data flows, and system configurations.Continuously develop technical skills and stay current with emerging data engineering technologies and best practices.What You Will Need:U.S. Citizenship or permanent residency is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field.TWO (2) or more years of experience in data engineering, software engineering, data analytics, computer science, or a related technical discipline.Experience with a programming language such as Python, Java, or SQL.Experience with cloud platforms such as AWS or Azure through coursework, certifications, internships, or professional experience.Experience with data integration, ETL, data warehousing, or analytics concepts.What Would Be Nice To Have:Internship, academic, research, or project experience involving data engineering, cloud computing, or software development.Basic understanding of relational databases and data querying concepts.Familiarity with version control systems such as Git.Basic understanding of software development lifecycle and Agile methodologies.Strong analytical, problem-solving, and troubleshooting skills.Ability to learn new technologies and work collaboratively in a team environment.Strong verbal and written communication skills.Experience working with public health data and agenciesExposure to Databricks, Spark, or large-scale data processing technologies.Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB.Experience with data visualization or reporting tools such as Power BI, Tableau, or Kibana.Exposure to CI/CD tools and DevOps practices.AWS, Azure, Databricks, or related cloud/data certifications.Experience supporting healthcare, public sector, or federal clients.Interest in data architecture, machine learning, artificial intelligence, or advanced analytics.Previous consulting, client-facing, internship, or cooperative education experience.What We Offer:Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.Benefits include:Medical, Rx, Dental & Vision InsurancePersonal and Family Sick Time & Company Paid HolidaysParental Leave401(k) Retirement PlanGroup Term Life and Travel AssistanceVoluntary Life and AD&D InsuranceHealth Savings Account, Health Care & Dependent Care Flexible Spending AccountsTransit and Parking Commuter BenefitsShort-Term & Long-Term DisabilityTuition Reimbursement, Personal Development, Certifications & Learning OpportunitiesEmployee Referral ProgramCorporate Sponsored Events & Community OutreachCare.com annual membershipEmployee Assistance ProgramSupplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)Position may be eligible for a discretionary variable incentive bonusAbout GuidehouseGuidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee. #J-18808-Ljbffr