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Weekend Amazon Data Engineer Jobs in Houston, TX

bwp

Lead / Sr Analyst Data Scientist

Houston, TX

... and Amazon Web Services (AWS) tools such as SageMaker, Redshift, Simple Storage Service (S3), Lambda, and Glue for model training, deployment, and data access. * Collaborate with data engineers to ...

Deloitte

Senior Forward Deployed Engineer- AWS

Houston, TX

$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

$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 ...

Amazon

Prime Air Ground Handler, Amazon Prime Air

Houston, TX · On-site

$15.75 - $18.50/hr

And how do you do it in a way that can scale Our teams of hundreds of scientists, engineers ... weekends, and holidays This role may require travel, up to 25% of the time Export Control License:

Amazon

Automation Engineer Apprentice

Houston, TX · On-site

Amazon AEA apprentices are engaged in the assembly and maintenance of complex machines, plants, and ... weekends, nights, and/or holidays - Can commute to the specified work site - Can commit to a 2-year ...

Amazon

Flight Monitor, Amazon - Prime Air

Katy, TX · On-site

Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been ... This role requires the ability to work any shift, including nights, weekends, and holidays This ...

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Showing results 21-40

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

Weekend Amazon Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

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

As of Aug 24, 2026, the average yearly pay for weekend amazon data engineer 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 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 Houston, TX?

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

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

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

Weekend Amazon Data Engineer jobs near you

Principal Data Architect

HP Development Company, L.P.

Spring, TX • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 25 days ago

Job description

Principal Data Architect
Description -
We are seeking a Data Engineering Architect who will lead both enterprise data platform architecture and data strategy to enable scalable AI/ML, telemetry analytics, and business intelligence solutions.
This role goes beyond traditional data engineering, requiring end-to-end ownership of data ecosystems, from ingestion to insights, and the ability to translate business priorities into scalable, AI-ready data strategy.
You will partner with Data Science, AI, teams to design future-ready data platforms, industrialize ML pipelines, and drive data as a strategic asset across the organization.
Key Responsibilities
Data Architecture Strategy
  • Design the enterprise-wide blueprint for how data is stored, integrated, accessed, and governed
  • Manage the technical platforms that enable downstream insights, solutions, etc
  • Design PS Quality data warehouses / data lakes
  • Determine architectural patterns (e.g., medallion architecture, data mesh, data fabric)
  • Establish data standards and automated interoperability rules

Data Architecture & Platform Leadership
  • Designing data warehouses / data lakes that meets Quality Business Requirements
  • Define and implement enterprise-grade data architectures (batch, streaming, real-time) for large-scale structured and unstructured data.
  • Design scalable, secure, and high-performance data platforms supporting BI, advanced analytics, and AI/ML use cases.
  • Establish data modeling standards, and reusable frameworks across the organization.

Data Strategy & Transformation
  • Lead enterprise data strategy, aligning data initiatives with business, AI, and digital transformation goals.
  • Identify and prioritize high-value analytics and AI opportunities leveraging telemetry, operational, and product data.
  • Drive data monetization, standardization, and governance frameworks.
  • Define roadmap for modern data stack adoption (cloud-native, lakehouse, streaming, GenAI-ready architectures).

AI/ML Enablement & Industrialization
  • Partner closely with Data Scientists to productionize ML/AI models into scalable systems.
  • Build and optimize data pipelines, feature engineering frameworks, and MLOps workflows.

Engineering Execution & Innovation
  • Lead the design, development, and deployment of complex data pipelines and distributed systems.
  • Drive adoption of new technologies (GenAI, agentic systems, streaming architectures, data mesh).
  • Ensure solutions meet performance, reliability, and cost optimization goals.

Governance, Security & Compliance
  • Ensure adherence to data governance, privacy, security, and compliance standards in alignment with HP Cybersecurity and privacy guidlines
  • Maintain master data management, access controls, audits, metadata, management, and data hierarchy
  • Establish data quality frameworks, lineage, observability, and monitoring mechanisms.
  • Implement best practices across data lifecycle management.

Cross-Functional Leadership & Influence
  • Influence executive leadership, architecture boards, and cross-functional stakeholders on data strategy decisions.
  • Act as a thought leader in data engineering and AI data ecosystems.
  • Represent the organization in industry forums, publications, and innovation initiatives.

Business Alignment
  • Translate business goals into platform capabilities
    • Faster automated analytics
    • Enhanced AI/ML readiness
    • Self-Service Tools
    • Operational Reporting
    • Enable data-driven decision making

Technical Expertise
  • Strong experience in:
    • Cloud platforms: AWS, Azure (data services, analytics, storage)
    • Data platforms: Data Lakes, Lakehouse, Data Warehousing
    • ETL/ELT and pipeline orchestration
  • Programming:
    • Python, SQL (mandatory)
    • Scala/Java (good to have)
  • Experience with:
    • Streaming and real-time data systems
    • Data modeling and governance
    • MLOps / model deployment pipelines
    • Modern architecture (Data Mesh, Medallion, API-driven data services)

Knowledge & Skills
  • Agile Methodology
  • Amazon Web Services
  • Apache Hadoop
  • Apache Kafka
  • Apache Spark
  • Big Data
  • Computer Science
  • Data Analysis
  • Data Engineering
  • Data Modeling
  • Data Pipelines
  • Data Warehousing
  • Extract Transform Load (ETL)
  • Java (Programming Language)
  • Machine Learning
  • Microsoft Azure
  • Python (Programming Language)
  • Scala (Programming Language)
  • Scalability
  • SQL (Programming Language)

Cross-Org Skills
  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity

Impact & Scope
  • Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity
  • Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

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.
The pay range for this role is $147,050 to $230,850 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 -
Shift 1, 0% premium (United States of America)
Travel -
No
Relocation -
No
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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