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Weekend Amazon Data Engineer Jobs in New York (NOW HIRING)

Data Engineer, PV Prime Video TV - Tech

New York, NY · On-site

$125K - $150K/yr

Do you want to define the next generation of how and what Amazon customers are watching? Prime ... As a Data Engineer, you will work in one of the world's largest and most complex data warehouse ...

Data Engineer

East Rutherford, NJ · On-site

$116K - $140K/yr

The Data Engineer will be responsible for building data delivery services that support critical ... Experience using tools such as Talend, Amazon Glue, and Airflow * Experience with Python and R

Data Engineer I, Sales Data Services (SDS)

New York, NY · On-site

$125K - $150K/yr

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array ... We are a big-data focused engineering team that provides unique, pan-Amazon datasets consolidating ...

Data Engineer I, Sales Data Services (SDS)

New York, NY · On-site

$125K - $150K/yr

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array ... We are a big-data focused engineering team that provides unique, pan-Amazon datasets consolidating ...

Data Engineer I, Sales Data Services (SDS)

New York, NY · On-site

$125K - $150K/yr

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array ... We are a big-data focused engineering team that provides unique, pan-Amazon datasets consolidating ...

Data Engineer

East Rutherford, NJ · On-site

$116K - $140K/yr

The Data Engineer will be responsible for building data delivery services that support critical ... Experience using tools such as Talend, Amazon Glue, and Airflow * Experience with Python and R

Lead AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Lead AWS Data Engineer Location: Newark, NJ (Hybrid) Domain: Banking or Insurance Job Summary: We ... Implement high-velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)

Data Engineer

New York, NY

$125K - $150K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

Showing results 21-40

Weekend Amazon Data Engineer information

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

Software Development Engineer, Data Analytics Integration AI and Platform Excellence

Amazon

New York, NY • On-site, Remote

$125K - $150K/yr

Full-time

Re-posted yesterday


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,069 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Join Amazon's Data Integration organization and help shape the future of AI-driven data integration. We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient.
As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows

Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
Key job responsibilities
- Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing.
- Build and own critical infrastructure powering Amazon's next-generation AI capabilities
- Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems
- Optimize existing algorithms and systems for performance, scalability, and reliability
- Contribute to the full software development lifecycle, from conception to production deployment
- Mentor junior engineers and promote best practices in software development and AI implementation
A day in the life
- Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon
- Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering
- Growth: Learn from experts while working with the latest in AI technology
- Purpose: Help shape responsible AI development practices and sustainable computing
- Team: Join a collaborative environment focused on solving complex, meaningful challenges
This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds.
About the team
About AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences

Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Work/Life Balance
We value work-life harmony.

Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious.

Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional



What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

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