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Weekend Amazon Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer

Dallas, TX · On-site +1

$115K - $130K/yr

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment ... Amazon RDS, Cassandra, Snowflake, PostgreSQL, Databricks, etc.) * Experience in the design and ...

Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

MegazoneCloud US is seeking a Data Engineer to support their data-driven culture. The role involves ... AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data ...

New

Data Engineer

Dallas, TX · On-site +1

$100K - $120K/yr

Data Engineer REPORTS TO: Director, Engineering SUPERVISES: None JOB CLASS: Exempt Purpose: Data ... Amazon Redshift, IaC, DB2 experience desirable. General Working Conditions: General office working ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Engineering ---|--- POSITION: | Data Engineer REPORTS TO: | Director, Engineering SUPERVISES ... Amazon Redshift, IaC, DB2 experience desirable. General Working Conditions : General office working ...

Data Engineer

Dallas, TX

$113K - $136K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

Lead Data Engineer - AWS

Dallas, TX · On-site

$101K - $133K/yr

Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ... Serverless Data Engineering: Build highly scalable, event-driven ETL pipelines using AWS Lambda ...

Lead Data Engineer - AWS

Dallas, TX · On-site +1

$101K - $133K/yr

Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ... Serverless Data Engineering: Build highly scalable, event-driven ETL pipelines using AWS Lambda ...

Description We are seeking a talented Data Engineer to support the ingestion of mission-critical ... Amazon S3, SQS/SNS Admin experience * Apache Airflow Workloads via UI or CLI a plus * Experience ...

Databricks Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills Agile Methodology Amazon Web Services Apache Hadoop Apache Kafka Apache Spark Big Data ...

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Weekend Amazon Data Engineer information

What are Weekend Amazon Data Engineers?

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 an 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 Texas? The most popular types of Amazon Data Engineer jobs in Texas are:
What cities in Texas are hiring for Weekend Amazon Data Engineer jobs? Cities in Texas with the most Weekend Amazon Data Engineer job openings:

Data Engineer

Protagona

Dallas, TX • On-site, Remote

$115K - $130K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 12 days ago


Job description

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client engagements cover a wide variety of business requirements and require our engineers to adapt quickly and stay on top of recent cloud technology trends. Candidates should be able to identify and remediate issues within cloud-based systems, based on their knowledge of industry standards and best practices.
Responsibilities
  • Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management
  • Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components and enhancements
  • Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution
  • Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming
  • Develop data pipelines / APIs using a variety of tools, including but not limited to Python, SQL, Spark and various AWS services
  • Use an analytical, data-driven approach to drive a deep understanding of fast changing business
  • Build large-scale batch and real-time data pipelines with data processing frameworks in AWS
  • Moving data from on-prem to cloud and cloud data conversions
Desired Skills & Experience
  • Experience in data engineering with an emphasis on data pipelines, analytics and reporting
  • Exposure to the AWS Cloud Platform
  • Experience in SQL, data transformations, and troubleshooting across at least one database Platform (Redshift, Amazon RDS, Cassandra, Snowflake, PostgreSQL, Databricks, etc.)
  • Experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines
  • Experience in a scripting languages such as Python
  • Experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
Nice to Haves
  • AWS Certification - Solutions Architect Pro or Data Specialty
  • Machine Learning experience
  • Advanced GenAI experience

Compensation:
The expected base salary range for this position is $115,000 - $130,000 USD annually, plus eligibility for an annual performance bonus.
Actual compensation will depend on experience, skill set, and location.
Benefits:
We offer a comprehensive benefits package that includes medical, dental, and vision coverage, and paid time off.