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Weekend Amazon Data Engineer Jobs in Washington (NOW HIRING)

Amazon

Data Engineer II, Amazon Leo

Arlington, VA

$131K - $158K/yr

... Amazon Leo will serve communities and organizations operating in places without dependable internet access. As a Data Engineer in Leo's Global Business Operations (GBO), you will be one of the ...

Capital Technology Group

Data Engineer

Silver Spring, MD · On-site

$118K - $142K/yr

The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and ... Build AI-enabled data solutions using Amazon Bedrock , RAG pipelines , and vector search ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Amazon Redshift, or BigQuery. * Big Data Processing : Leverage frameworks like Apache Spark ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure ... Amazon Redshift, or BigQuery. • Leverage frameworks like Apache Spark, Databricks, or Apache ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon ...

Amazon

Data Engineer, PXT Central Science

Arlington, VA · On-site

$131K - $158K/yr

Amazon's People Experience and Technology Central Science (PXTCS) team uses economics, behavioral ... As a Data Engineer on PXTCS, you'll work side by side with economists, data scientists, software ...

Amazon

Data Engineer III - AMZ9444040

Arlington, VA · On-site

$170K - $209K/yr

AMAZON.COM SERVICES LLC Offered Position: Data Engineer III Job Location: Arlington, Virginia Job Number: AMZ9444040 Position Responsibilities: Design, develop, implement, test, document, and operate ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

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

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

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

System One

AWS Data Engineer

Mclean, VA · Remote

$150K - $170K/yr

AWS Data Engineer Location: McLean, VA Type: Contract-to-Hire Compensation: $150,000.00 - $170,000 ... Build and manage a scalable lakehouse on Amazon S3 using Apache Iceberg and open columnar formats ...

System One

AWS Data Engineer

Mclean, VA · Remote

$150K - $170K/yr

AWS Data Engineer Location: McLean, VA Type: Contract-to-Hire Compensation: $150,000.00 - $170,000 ... Build and manage a scalable lakehouse on Amazon S3 using Apache Iceberg and open columnar formats ...

System One Holdings, LLC

AWS Data Engineer

Mclean, VA · On-site

$170K/yr

AWS Data Engineer Location: McLean, VA Type: Contract-to-Hire Compensation: $150,000.00 - $170,000 ... Amazon Athena, Amazon EMR, AWS Glue, and Amazon Redshift. • Optimize performance and cost ...

VTG

Data Engineer

Chantilly, VA · On-site

$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 ...

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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 II, Amazon Leo

Arlington, VA

Amazon
IT Services • 10K+ employees
Learn more about Amazonexternal

$131K - $158K/yr

Full-time

Posted 5 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,157 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable broadband connectivity to customers beyond the reach of existing networks. From households to small businesses, schools, hospitals, and government agencies, Amazon Leo will serve communities and organizations operating in places without dependable internet access.
As a Data Engineer in Leo's Global Business Operations (GBO), you will be one of the architects and engineers building up the cloud data infrastructure for use across Leo

You will be working directly on AWS to build internal tools used across the hundreds of Business Intelligence Engineers and Scientists to build business-critical reports and ML Models. You will design the data models used by these teams to efficiently dive deep into the business and extract insights. Getting in pre-launch, you have creative influence to drive this engineering direction on a native stack and your outputs will be critical to the success of Leo's ambitious mission.
Key job responsibilities
In this role, you will:
- Develop Leo data products, infrastructure and ETL pipelines to ingest, parse and transform Geospatial datasets from external & internal APIs using AWS big data technologies (Glue, S3, Redshift, MWAA, EMR, Data Zone, Lambda, etc.)
- Work alongside Data Scientists, Applied Scientists, Software Engineers and Simulation Engineers to develop appropriate data assets for statistical modeling, system integration and capacity simulations
- Improve existing solutions and come up with next generation Leo's Data Architecture to improve scale, quality and performance
- Implement data governance best practices to ensure data accuracy, consistency, and compliance with security and privacy regulations.
- Develop and maintain scripts to automate processes to generate structured datasets for forecasting POR and system inputs, with focus on efficiency and scalability
- Build data dictionary, catalog and governance plan and manage and audit all of the registered data via internal mechanisms
- Provide technical guidance and support to data consumers to leverage Global Planning data assets
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S

citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the team

What Amazon employees say

Pay

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Hours and flexibility

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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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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