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Weekend Amazon Data Engineer Jobs in Washington (NOW HIRING)

VTG

Data Engineer

Chantilly, VA

$140K - $195K/yr

Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS ... Experience with data engineering projects supporting data science, AI/ML implementations, and ...

VTG

Data Engineer

Chantilly, VA · On-site

$140K - $195K/yr

Seeking a Cloud Data Engineer to design, develop, and optimize scalable cloud-based data platforms ... Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)

BigBear.ai

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Integrate data pipelines with Amazon Web Services (AWS) , leveraging services such as S3, Lambda ... Bachelor's degree in computer science, Engineering, Information Systems, or a related field * 4-8 ...

Bigbear.ai

Data Engineer

Washington, DC · On-site

$109K/yr

Integrate data pipelines with Amazon Web Services (AWS) , leveraging services such as S3, Lambda ... Bachelor's degree in computer science, Engineering, Information Systems, or a related field * 4-8 ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

SZNS Solutions LLC

Data Engineer

Reston, VA

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

SwiftCruit

Data Engineer

Bethesda, MD · On-site

$122K - $147K/yr

Occasionally (as needed) support for off-hours deployment, such as evenings or weekends. Required ... Familiarity with working with Amazon Web Services (AWS) or any other cloud environments. * Working ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... You Have: * 3+ years of experience designing cloud-native data platforms in Amazon Web Services ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Washington

Weekend Amazon Data Engineer information

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 in Washington are hiring for Weekend Amazon Data Engineer jobs?

Cities in Washington with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Data Engineer

Chantilly, VA

VTG
See more jobs at VTGexternal

$140K - $195K/yr

Full-time

Re-posted 15 days ago

Job description

Overview

VTG is looking for a Data Engineer in Chantilly, VA


What will you do?

Seeking a Cloud Data Engineer to design, develop, and optimize scalable cloud-based data platforms that support analytics, AI/ML, and business intelligence initiatives. This role focuses on cloud architecture, data engineering, pipeline development, and modernization efforts while collaborating with cross-functional teams to deliver secure, high-performance data solutions in a mission-driven environment.


Do you have what it takes?
Required Skills and Qualifications: 
  • 3+ years of experience designing cloud-native data platforms in AWS
  • 2+ years of experience designing scalable data lake, warehouse, and analytics solutions
  • 2+ years of experience with cloud migration and modernization efforts
  • 2+ years of experience with the data pipelines, including data acquisition, data prep, and database architecture
  • Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards
  • Experience with non-relational and semi-relational databases
  • Experience creating software for retrieving, parsing, and processing structured and unstructured data
  • Experience with team lead functions, creating solutions within a collaborative and cross-functional team environment
  • TS/SCI clearance with a polygraph
  • Bachelor's degree in CS 
 
Preferred Skills and Qualifications: 
  • Experience with Pyspark and Spark ecosystems such as Databricks and EMR
  • Experience evaluating data analytic or science technologies and platforms
  • Experience going through an A&A process or leading modifications
  • Experience with Cloud Architecture and evaluating and selecting cloud analytics architectures
  • Experience with Data Marts and Data Warehouses and creating, managing, and troubleshooting complex operational data flows
  • Experience with Source code management and integration such as GitHub
  • Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)
  • Experience with scripting languages such as Python and SQL
  • Experience with APIs development
  • AWS architecture Certifications such as Solution Architect Certification

VTG’s estimated starting pay range is $140,000-$195,000 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range. 

Qualifications:
Required Skills and Qualifications: 
  • 3+ years of experience designing cloud-native data platforms in AWS
  • 2+ years of experience designing scalable data lake, warehouse, and analytics solutions
  • 2+ years of experience with cloud migration and modernization efforts
  • 2+ years of experience with the data pipelines, including data acquisition, data prep, and database architecture
  • Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards
  • Experience with non-relational and semi-relational databases
  • Experience creating software for retrieving, parsing, and processing structured and unstructured data
  • Experience with team lead functions, creating solutions within a collaborative and cross-functional team environment
  • TS/SCI clearance with a polygraph
  • Bachelor's degree in CS 
 
Preferred Skills and Qualifications: 
  • Experience with Pyspark and Spark ecosystems such as Databricks and EMR
  • Experience evaluating data analytic or science technologies and platforms
  • Experience going through an A&A process or leading modifications
  • Experience with Cloud Architecture and evaluating and selecting cloud analytics architectures
  • Experience with Data Marts and Data Warehouses and creating, managing, and troubleshooting complex operational data flows
  • Experience with Source code management and integration such as GitHub
  • Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)
  • Experience with scripting languages such as Python and SQL
  • Experience with APIs development
  • AWS architecture Certifications such as Solution Architect Certification
Education:UNAVAILABLEEmployment Type: FULL_TIME

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