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Weekend Amazon Data Engineer Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton

Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Booz Allen Hamilton is seeking a Data Engineer to help build and scale a cloud-native data platform ... such as Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, or Amazon Redshift • Experience ...

Amazon

Infrastructure Delivery Manager

Herndon, VA · On-site

Amazon Web Services (AWS) is a fast paced technology company and a leader in the world of data ... engineers, providing both technical and leadership expertise and ensuring the highest levels of ...

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Amazon Redshift, Google BigQuery, Snowflake) • Experience with Python, SQL, Spark, and PySpark ... open-source data engineering tools such as ElasticSearch and NiFi • Experience with Docker ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Share Data Engineer The Opportunity: Data is only as powerful as the pipelines that move it, the ... Experience with AWS services such as Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, or Amazon ...

Booz Allen Hamilton

Data Engineer

Mclean, VA

$77K - $176K/yr

Data Engineer The Opportunity: Data is only as powerful as the pipelines that move it, the ... Experience with AWS services such as Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, or Amazon ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Data is only as powerful as the pipelines that move it, the ... Experience with AWS services such as Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, or Amazon ...

Pantheon Data

Data Engineer

Falls Church, VA · On-site

$122K - $146K/yr

The Data Engineer must be able to communicate clearly with both technical peers and non-technical ... AWS (Amazon Web Services) and/or Microsoft Azure. Certification(s) a plus. * Experience with cloud ...

Unisys

Data Engineer

Herndon, VA

$117K - $141K/yr

Position: IT Engineer V (Data Engineer) Duration: 12+ Months Location: Reston, VA (Hybrid) Must ... Spark and Amazon EMR/Hadoop, PySpark and AWS Glue is a plus Experience with Terraform Module ...

Redhorse Corporation

Data Engineer

Winchester, VA · On-site

$111K - $133K/yr

... Amazon EKS. In this role, you will be the bridge between legacy information and future-ready ... in data engineering or a related field. * Proven experience migrating large-scale datasets ...

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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 Virginia? The most popular types of Amazon Data Engineer jobs in Virginia are:
What are popular job titles related to Weekend Amazon Data Engineer jobs in Virginia? For Weekend Amazon Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Virginia look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Weekend Amazon Data Engineer jobs? Cities in Virginia with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you
Data Engineer, Central InfraOps Analytics Team

Data Engineer, Central InfraOps Analytics Team

Amazon

Herndon, VA • On-site

Full-time

Posted 12 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,828 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

As a Data Engineer you will enable data-driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization. The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to : Safety, Security, maintenance, operations, logistics, engineering and equipment management.
Key job responsibilities
Design, develop, and maintain ETL pipelines to ingest data into the data warehouse and data lake
Create and optimize logical data models that drive physical design for the Infrastructure Operations organization
Implement data quality measures and ongoing monitoring to ensure data integrity
Build scalable, efficient, and maintainable data solutions that support business intelligence needs
Optimize data storage and query performance across various data platforms
Develop automated processes to replace manual data operations
Collaborate with business stakeholders to understand data and reporting requirements
Translate business questions into data solutions that drive decision-making
Mentor and develop peers in data engineering best practices
Participate in code reviews, design discussions, and team planning
Improve self-service access to data for business users
Enhance code quality and dependency management
Automate manual processes to increase efficiency
Identify and resolve root causes of complex data problems
A day in the life
At AWS, the Data Engineer fully embraces the "You Build It, You Own It" philosophy, taking complete ownership of data solutions from conception through deployment and ongoing maintenance

You design architectures, implement pipelines, and remain responsible for their health and evolution as business needs change.
Each day begins with reviewing pipeline alerts and data quality metrics, followed by a 15-30 minute team stand-up to align on priorities and discuss blockers. You'll spend time monitoring infrastructure, reviewing logs for ETL pipeline health and data lake performance, then dedicate time to address stakeholder queries and prioritizing incoming requests via email, Slack and intake forms. The majority of your time is spent developing and maintaining ETL pipelines that ingest infrastructure operational data from global data centers, which includes writing code, debugging issues, optimizing queries, and implementing quality checks

The role requires frequent context switching between developing new data models, supporting existing infrastructure, and consulting on data utilization.
Key challenges you'll tackle include unifying and understanding fragmented data from diverse data center systems, enabling infrastructure monitoring, supporting analytics for capacity planning, driving optimization through data insights, automating manual processes, creating self-service access for business users, maintaining quality across massive datasets, ensuring compliance with strict security requirements, designing for scale as AWS expands globally, and modernizing legacy systems to reduce technical debt.
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What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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