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

Developer

Irving, TX ยท On-site

$100K - $130K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... as Amazon Web Services (AWS) (e.g., EMR, Glue), Microsoft Azure (e.g., Databricks, Synapse), or ...

AWS Data Platform Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Hi We are seeking an experienced AWS Data Platform Engineer to design, build, and operate ... Amazon Athena โ€ข Amazon S3 โ€ข AWS Lambda โ€ข AWS IAM โ€ข AWS Lake Formation โ€ข GitHub โ€ข ...

Senior AWS Software Data Engineer

Plano, TX ยท On-site

$117K - $154K/yr

Senior AWS Software Data Engineer Company: The Boeing Company The Boeing Company is looking for a ... Experience with Amazon OpenSearch, RedShift, Lambda * Experience with Tanzu (formerly PCF)

Senior AWS Software Data Engineer

Plano, TX ยท On-site

$117K - $154K/yr

Senior AWS Software Data Engineer Company: The Boeing Company The Boeing Company is looking for a ... Experience with Amazon OpenSearch, RedShift, Lambda * Experience with Tanzu (formerly PCF)

Data Architect

Irving, TX ยท On-site

$61.25 - $78.75/hr

... IAM Amazon Redshift ,AWS CloudWatch .SNS SQS ,EventBridge ,KMS ,Secrets Manager Data Engineering ,PySpark ,Apache Spark Python ,SQL ,Data Warehousing Concepts ,ETLELT Design Data Modeling ,Data ...

Data Engineer-Adobe Exp Platform

Irving, TX ยท Hybrid

$109K - $132K/yr

Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud ... Work with data engineering related groups to inform on and showcase capabilities of emerging ...

... Amazon Data Centers Our data centers are industry-leading examples of energy-efficient, cost ... We are a diverse, upbeat, creative team of engineers and managers working daily to develop ...

... Amazon Data Centers. Our data centers are industry-leading examples of energy-efficient, cost ... We are a diverse, upbeat, creative team of engineers and managers working daily to develop ...

... Amazon Data Centers Our data centers are industry-leading examples of energy-efficient, cost ... We are a diverse, upbeat, creative team of engineers and managers working daily to develop ...

Showing results 41-60

Weekend Amazon Data Engineer information

See Denton, TX salary details

$41.7K

$121.6K

$166.4K

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

As of Aug 21, 2026, the average yearly pay for weekend amazon data engineer in Denton, TX is $121,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $128,900.00 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 Denton, TX?

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

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

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

Infographic showing various Weekend Amazon Data Engineer job openings in Denton, TX as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $121,623 per year, or $58.5 per hour.

$100K - $130K/yr

Full-time

Re-posted 10 days ago


Job description

Roles & Responsibilities
Job Title: Data Engineer
Job Description:
We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in designing, building, and optimizing our next-generation scalable data pipelines. This position requires expertise in processing massive datasets using cutting-edge technologies like Apache Spark, PySpark, and Hive within a dynamic cloud environment. Your primary objective will be to ensure the utmost data reliability, speed, and efficiency, providing a robust foundation for downstream business intelligence and advanced analytics initiatives.
Roles & Responsibilities:
โ€ข Data Pipeline Development & Maintenance: Design, build, and maintain highly scalable and efficient ETL/ELT data pipelines utilizing PySpark and Spark SQL for complex data transformations.
โ€ข Cloud Data Infrastructure Management: Deploy, manage, and scale critical data infrastructure components on leading cloud platforms such as Amazon Web Services (AWS) (e.g., EMR, Glue), Microsoft Azure (e.g., Databricks, Synapse), or Google Cloud Platform (GCP).
โ€ข Data Warehousing & Storage Optimization: Strategically manage data layout, partitioning, and indexing within Apache Hive and various cloud data lake solutions to optimize performance and accessibility.
โ€ข Performance Tuning & Optimization: Proactively identify and resolve performance bottlenecks in Spark jobs, leveraging Spark UI for in-depth analysis, effectively managing data skewness, and optimizing memory utilization.
โ€ข Diverse Data Integration: Develop robust solutions for ingesting high-volume and diverse datasets from both structured relational databases and unstructured flat files into our data ecosystem.
โ€ข Automated Workflow Orchestration: Implement and manage automated data workflows using industry-standard scheduling tools like Apache Airflow or platform-native schedulers, ensuring timely and reliable data delivery.
โ€ข Strategic Collaboration: Partner closely with data scientists, business analysts, and cross-functional enterprise teams to translate complex business requirements into technically sound and efficient data solutions.
Qualifications:
โ€ข Big Data Frameworks Expertise: Demonstrated high proficiency in Apache Spark architecture, including a deep understanding of drivers, executors, and Directed Acyclic Graphs (DAGs).
โ€ข Advanced Programming: Exceptional coding skills in Python and extensive experience with the PySpark API for developing intricate data transformations and processing logic.
โ€ข Querying & Schema Management: Strong command of HiveQL and ANSI SQL, coupled with expertise in data partitioning techniques and effective schema definition.
โ€ข Optimized Storage Formats: In-depth understanding and practical experience with optimized big data storage file formats such as Parquet, ORC, and Avro.
โ€ข Cloud Ecosystem Development: Hands-on development experience utilizing cloud-native big data utilities (e.g., AWS EMR, Azure Databricks) with in major cloud platforms.
โ€ข Data Warehousing Fundamentals: Solid foundation in Dimensional Data Modeling, including Star and Snowflake schemas, and practical experience with Data Lakes concepts and implementation.
Preferred Qualifications
โ€ข CI/CD & DevOps Automation: Experience with Continuous Integration/Continuous Deployment (CI/CD) practices and automation tools like Git, Jenkins, or Ansible.
โ€ข NoSQL Database Integration: Exposure to and experience with NoSQL databases such as HBase, Cassandra, or MongoDB.
โ€ข Professional Cloud Certifications: Relevant professional cloud certifications (e.g., AWS Certified Data Engineer, Microsoft Certified: Azure Data Engineer Associate) are highly valued
Salary Range: $100,000 to $130,000 per year