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Weekend Amazon Data Engineer Jobs in Katy, TX (NOW HIRING)

Pwc

Data Engineer - Manager

Houston, TX · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

MOREgroup

Manager, Data Science & Services

Spring, TX · On-site

Strong experience with data integration and ETL/ELT tools, such as Informatica, Boomi, Talend, Amazon Glue, Microsoft Fabric, or SSIS. * Proficiency in programming language commonly used for data and ...

MOREgroup

Manager, Data Science & Services

Spring, TX · On-site

$120 - $160/hr

Strong experience with data integration and ETL/ELT tools, such as Informatica, Boomi, Talend, Amazon Glue, Microsoft Fabric, or SSIS. * Proficiency in programming language commonly used for data and ...

Hp

Principal Data Architect

Spring, TX

Amazon Web Services * Apache Hadoop * Apache Kafka * Apache Spark * Big Data * Computer Science * Data Analysis * Data Engineering * Data Modeling * Data Pipelines * Data Warehousing * Extract ...

Deloitte

Senior Forward Deployed Engineer- AWS

Houston, TX · On-site

$99K - $137K/yr

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

Deloitte

Lead Forward Deployed Engineer - AWS

Houston, TX · On-site

$97K - $128K/yr

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

Amazon

Senior Automation Engineer

Houston, TX · On-site

$99K - $130K/yr

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... weekends, nights, and/or holidays - 4+ years of process or production environment related PLC ...

Deloitte

Forward Deployed Engineer- AWS

Houston, TX

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

Amazon

Flight Monitor, Amazon - Prime Air

Katy, TX

And how do you do it in a way that can scale Our teams of hundreds of scientists, engineers ... This role requires the ability to work any shift, including nights, weekends, and holidays This ...

Amazon

Flight Monitor, Amazon - Prime Air

Katy, TX

And how do you do it in a way that can scale Our teams of hundreds of scientists, engineers ... This role requires the ability to work any shift, including nights, weekends, and holidays This ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Katy, TX

Weekend Amazon Data Engineer information

See Katy, TX salary details

$40.8K

$119K

$162.9K

How much do weekend amazon data engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for weekend amazon data engineer in Katy, TX is $119,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $126,200.00 per year, depending on experience, location, and employer.

What is a Weekend Amazon Data Engineer?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for a Weekend Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What are the most commonly searched types of Amazon Data Engineer jobs in Katy, TX?

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

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

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

Weekend Amazon Data Engineer jobs near you

Data Architect, AI and Supply Chain Insights

HP Development Company, L.P.

Spring, TX • On-site

$56.75 - $73/hr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 21 days ago

Job description

Data Architect, AI and Supply Chain Insights
Description -
Job Summary
We are seeking a Supply Chain Data Architect who combines strong data architecture expertise with a data product mindset. The role is responsible for owning and evolving a portfolio of Data Products, designing scalable and reusable data models, and ensuring data assets are trusted, governed, and optimized for reporting, analytics, Data Science, Machine Learning, and AI use cases.
The successful candidate will work closely with business stakeholders to understand processes, priorities, and opportunities, translating them into data strategies and architecture solutions that maximize business value and adoption.
A strong understanding of data engineering concepts is foundational and required, including how data is acquired, transformed, and delivered across modern data platforms. The primary focus of the role is on data architecture, data modeling, data product maturity, business engagement, and AI ready design.
Success is measured by the ability to create scalable, business ready data products that enable self service analytics, advanced insights, continuously leveraging the evolving AI technologies for our Supply Chain Stakeholder.
The ideal candidate combines deep expertise in data architecture and modeling with business acumen, critical thinking, problem solving and a passion for innovation. They partner with business leaders, Data Engineers, Data Scientists, Product Owners, and AI practitioners to transform complex business challenges into data driven solutions
Responsibilities
  • Own and evolve a portfolio of Supply Chain Data Products, ensuring they are certified, compliant, governed, and aligned to the latest Data Governance standards while maximizing business value and adoption.
  • Partner with business stakeholders to understand business processes, data domains, and analytical needs, translating requirements into data strategies, architecture roadmaps, and product enhancement plans.
  • Design and maintain scalable conceptual, logical, and physical data models, ensuring data assets are structured, documented, and optimized for reporting, analytics, AI, machine learning, and self service consumption.
  • Drive Data Product maturity through architecture best practices, data quality, metadata management, governance, master data management, and AI ready design principles.
  • Collaborate with Data Engineers, Data Scientists, Product Owners, and business leaders to deliver scalable data solutions, accelerate insight generation, and increase the value of enterprise data assets.
  • Evaluate and leverage emerging technologies, AI capabilities, and modern data practices to improve business outcomes, strengthen the data ecosystem, and promote architecture excellence across the organization through mentoring and thought leadership

Education & Experience
  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or related field.
  • 8+ years of experience in Data Architecture, Data Modeling, Data Management, Analytics, or related disciplines.
  • Experience owning or supporting Data Products and enterprise scale data assets.
  • Experience working directly with business stakeholders and cross functional teams.
  • Experience supporting analytics, AI, machine learning, or data science initiatives.
  • Experience translating business capabilities and processes into scalable data models and architectures.

Required Skills
  • Data Architecture & Data Products
  • Data Architecture
  • Enterprise Data Modeling (Required)
  • Data Product Management & Lifecycle
  • Data Governance
  • Data Quality
  • Master & Reference Data Management
  • Metadata Management
  • Data Warehousing
  • Data Management
  • Data Strategy

Technology
  • SQL
  • Python
  • Databricks
  • Microsoft Fabric or Azure Data Services
  • Cloud Data Platforms
  • Data Catalog & Metadata Solutions

AI & Advanced Analytics
  • Artificial Intelligence
  • Generative AI
  • Machine Learning Concepts
  • Data Science Collaboration
  • AI Ready Data Design
  • Analytical Thinking

Business & Leadership
  • Business Process Analysis
  • Supply Chain Domain Knowledge
  • Strategic Thinking
  • Critical Thinking
  • Problem Solving
  • Stakeholder Management
  • Communication and Influence
  • Product Mindset
  • Leadership

Impact
This role helps enable the current and shape the future of the Supply Chain data ecosystem by ensuring data products are trusted, governed, scalable, and optimized for business consumption, advanced analytics, machine learning, and AI initiatives. Success in this role is measured not only by sound architecture, but by the ability to create highly reusable, business aligned data products that accelerate insights, enable self service analytics, and power next generation AI capabilities across the enterprise.
Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Salary:
The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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