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Weekend Amazon Data Engineer Jobs in Washington (NOW HIRING)

AWS Data Engineer

Reston, VA ยท On-site

$119K - $143K/yr

Role: AWS Data Engineer Location- Reston, VA( In Person Interview at Herndon VA ) Duration ... Design and optimize data storage and querying in Amazon Redshift * Write performant SQL for data ...

Senior Data Engineer

Chantilly, VA ยท On-site

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator ... Experience with Amazon Web Services (AWS) will be crucial as you deploy scalable solutions in a ...

Data Engineer

Chantilly, VA ยท On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)

R0241347 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)

Data Engineer

Rockville, MD

$116K - $140K/yr

The Data Engineer works with moderate supervision across two equally weighted domains: (1) large ... Experience with foundation model APIs (Anthropic Claude, Amazon Nova, OpenAI, or similar) * Memory ...

Senior Data Engineer

Chantilly, VA ยท On-site

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator ... Experience with Amazon Web Services (AWS) will be crucial as you deploy scalable solutions in a ...

Senior IT Data Engineer

Washington, DC ยท On-site

$65 - $75/hr

Amazon Aurora, Snowflake, Databricks, Amazon Redshift. * Ability to use infrastructure as code (IaC) such as Terraform, AWS CloudFormation to build and configure data systems as part of a DevOps ...

Data Engineer

Arlington, VA ยท On-site

$93K - $176K/yr

Amazon Redshift, Google BigQuery, Snowflake) * Experience with Python, SQL, Spark, and PySpark ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

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

AWS Data Engineer

Sidram Technologies

Reston, VA โ€ข On-site

$119K - $143K/yr

Contractor

Posted 25 days ago


Job description

Role: AWS Data Engineer
Location- Reston, VA(In Person Interview at Herndon VA )
Duration: Fulltime/Contract

Onsite: 5 Days Onsite
need only USC and GC
Rate: 60/hr on W2

Job Description:

ย Seeking an AWS Data Engineer to design, build, and maintain scalable data pipelines and ETL solutions using Python/PySpark and AWS managed services to support analytics and data product needs.

ย Key Responsibilities

  • Build and maintain ETL pipelines using Pythonย and PySparkย on AWS Glue and other compute platforms
  • Orchestrate workflows with AWS Step Functions and serverless components (Lambda)
  • Implement messaging and event-driven patterns using AWS SNSย and SQS
  • Design and optimize data storage and querying in Amazon Redshift
  • Write performant SQLย for data transformations, validation, and reporting
  • Ensure data quality, monitoring, error handling, and operational support for pipelines
  • Collaborate with data consumers, engineers, and stakeholders to translate requirements into solutions
  • Contribute to CI/CD, infrastructure-as-code, and documentation for reproducible deployments

Required Skills

  • Strong experience withย Pythonย andย PySpark for large-scale data processing
  • Proven hands-on experience with AWS services: Lambda, SNS, SQS, Glue, Redshift, Step Functions
  • Solidย SQLSQLย skills and familiarity with data modeling and query optimization
  • Experience with ETL best practices, data quality checks, and monitoring/alerting
  • Familiarity with version control (Git) and basic DevOps/CI-CD workflows

Rachael

IT Services | Development | Staffing

URL: http:/www.sidramtech.com |

Email: rachael@sidramtech.com

Direct: 4705239688

Led by 25+ Years of Industry Experience

ย