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

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

Create scalable, reliable, and efficient data lakehouse solutions on AWS using Amazon S3 and Apache ... Snowflake engineering: Design and implement Snowflake objects and pipelines to support analytics ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

Create scalable, reliable, and efficient data lakehouse solutions on AWS using Amazon S3 and Apache ... Snowflake engineering: Design and implement Snowflake objects and pipelines to support analytics ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

Create scalable, reliable, and efficient data lakehouse solutions on AWS using Amazon S3 and Apache ... Snowflake engineering: Design and implement Snowflake objects and pipelines to support analytics ...

Fidelity Investments

Principal Data Engineer

Westlake, TX · On-site +1

$109K - $132K/yr

Designs, develops, and implements scalable data engineering, analytics and reporting solutions to ... Cloud-based (Amazon Web Services (AWS)) environments. Collaborates with product owners, data ...

Carmax

Engineer II, Data

Dallas, TX · On-site

$113K - $136K/yr

Data engineers also need to guarantee compliance with data governance and data security ... Amazon Kinesis * Practical experience with CI/CD pipelines, version control, and automated ...

Pwc

Data Engineer - Manager

Dallas, 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 ...

Tixy Services LLC

Senior Data Engineer

Dallas, TX · On-site

$105K - $143K/yr

Amazon Redshift * Microsoft Fabric * Collaborate with Cloud Architects and Platform Engineers on cloud-native solutions. * Support multi-cloud data engineering initiatives across AWS, Azure, and ...

New

Pwc

Data Engineer - Manager

Fort Worth, 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 ...

GEICO

Contact Center Data Engineer I

Richardson, TX · On-site

$86K - $141K/yr

The Contact Center Data Engineer I plays a critical role in improving contact center performance by ... Build and maintain reporting using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and other ...

Geico

Contact Center Data Engineer I

Richardson, TX · On-site

$86K - $141K/yr

The Contact Center Data Engineer I plays a critical role in improving contact center performance by ... Build and maintain reporting using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and other ...

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Showing results 21-40

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

Weekend Amazon Data Engineer information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

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

As of Aug 8, 2026, the average yearly pay for weekend amazon data engineer in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

How much do Weekend Amazon Data Engineers make?

Weekend Amazon Data Engineers typically earn between $50,000 and $100,000 annually, depending on experience, location, and skill set. Compensation may include benefits such as flexible schedules, cloud tools, and data processing platforms like AWS and Spark.

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 cities near Dallas, TX are hiring for Weekend Amazon Data Engineer jobs? Cities near Dallas, TX with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you

AWS / Snowflake Data Engineer

System One Holdings, LLC

Dallas, TX • On-site

$90.32/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago

Job description

Job Title: AWS/Snowflake Data Engineer
Location: Richardson, OK
Type: Contract
Compensation: $90.32
Work Model: Hybrid - onsite and remote
Hours: 40.0
Security Clearance: Not specified
Overview
The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data solutions on the Amazon Web Services (AWS) cloud platform, with a strong emphasis on native AWS services, Apache Iceberg-based lakehouse patterns, and Snowflake for cloud data warehousing and analytics. This role will transform raw data into secure, high-quality, reusable datasets and data products that enable analytics, reporting, and operational use cases. This role involves developing end-to-end data pipelines, managing data lakes and lakehouse architectures using Apache Iceberg, and creating secure, high-performance interfaces/APIs to deliver data products to stakeholders. This is a long-term contract position offering benefits and some extra perks! This role is only seeking American citizens or green card holders at this time.
Responsibilities
  • Design and develop data architecture (AWS Lakehouse + Snowflake): Create scalable, reliable, and efficient data lakehouse solutions on AWS using Amazon S3 and Apache Iceberg, and design curated/consumption architectures in Snowflake to enable performant analytics and governed data sharing.
  • Build and maintain data pipelines (native AWS tooling): Design, construct, and automate ETL/ELT processes to ingest data from diverse sources into AWS, leveraging native services such as AWS Glue, Lambda, Step Functions, EventBridge, and orchestration patterns as appropriate.
  • Develop and manage Iceberg tables: Build and manage Apache Iceberg datasets, including table design, schema evolution, partition strategies, and compaction/maintenance patterns to support ACID-like behavior and scalable analytics.
  • Snowflake engineering: Design and implement Snowflake objects and pipelines to support analytics and data products (schemas, tables, views), and contribute to patterns for secure and governed consumption.
  • Create and manage data APIs / interfaces: Design, develop, and maintain secure and scalable RESTful (and other) APIs to facilitate data access for internal teams and applications, typically leveraging AWS services (e.g., API Gateway, Lambda, IAM).
  • Optimize performance and cost: Implement partitioning strategies, data layout optimization, and tuning techniques across Iceberg and Snowflake; monitor workloads and continuously improve efficiency and runtime performance.
  • Ensure data quality and integrity: Implement data validation, reconciliation, and error-handling processes; build observability into pipelines so issues are detected early and addressed quickly.
  • Collaborate with stakeholders: Work closely with analysts, data scientists, software engineers, and business teams to understand data needs and deliver effective, reusable solutions.
  • Provide technical support: Offer troubleshooting and technical expertise for data-related issues across pipelines, datasets, and endpoints.
  • Maintain documentation: Create and maintain technical documentation for data workflows, pipelines, dataset definitions, and API specifications.

Requirements
  • Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Experience: Proven experience in data engineering with significant hands-on experience building data solutions on AWS.
  • Technical Skills: Proficiency in Python, Java, or Scala; Strong SQL skills for querying, transformations, and data modeling / database design (including Snowflake SQL); Practical experience with AWS services such as S3, Glue, Lambda, API Gateway, and IAM; Experience with Apache Spark and Hadoop ecosystems; Experience creating and deploying RESTful APIs; Experience with workflow orchestration tools (e.g., Airflow or AWS-native orchestration patterns); Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform).
  • Strongly Preferred Experience: Hands-on experience building and managing Apache Iceberg tables; Snowflake implementation and operation experience, including data modeling for analytics and secure consumption patterns.
  • Soft Skills: Strong problem-solving and analytical skills; Excellent communication and collaboration skills; Ability to work independently and as part of an agile team.
  • Certifications (Preferred): AWS data-related certifications and other relevant cloud/data engineering certifications.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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