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Weekend Amazon Data Engineer Jobs in California (NOW HIRING)

Amazon

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

About the Role As a data engineer in the Data Platform organization, you will be transforming ... Amazon Employee Discount

Purple Drive Technologies

DATA ENGINEER

Pleasanton, CA · On-site

$127K - $153K/yr

Build and manage data lake and data warehouse solutions using Amazon S3 and Amazon Redshift ... Data Engineer or in a similar role. * Strong hands-on experience with AWS data services (Glue ...

Amazon

Data Engineer II - AMZ24202.1

Cupertino, CA · On-site

$171K - $205K/yr

Amazon Web Services, Inc. Position: Data Engineer II Location: Cupertino, CA Multiple Positions Available: Design, develop, implement, test, document, and operate large-scale, high-volume, high ...

Amazon

Data Engineer, Ring Agent Platforms

Hawthorne, CA · On-site

$116K - $139K/yr

We are looking for a Data Engineer to design, build, and operate the data pipelines, models, and ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$120K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning their data platform ... Amazon data • Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale) • Omni ...

True Classic

Data & Analytics Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

The role involves building and maintaining data pipelines, supporting analytics engineering ... Amazon data • Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale) • Omni ...

MegazoneCloud US

Data Engineer

Irvine, CA · On-site

$121K - $145K/yr

MegazoneCloud US is seeking a Data Engineer to support their data-driven culture. The role involves ... AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data ...

New

Deloitte

Databricks Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

As a Databricks Data Engineer, you will design and build cloud-based data engineering solutions ... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • Ability to travel 50 ...

Brevian.ai

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Job title Data Engineer Position overview We are looking for an experienced Data Engineer to join ... Understanding in cloud technologies like AWS (Amazon Web Services) related technologies such as ...

Perficientcorp Inc

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... Amazon Redshift and AWS Athena Develop and maintain ETL/ELT pipelines using Python Drive data ... engineers and enforce engineering excellence Required Skills & Experience • 8+ years in data ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform ... Daasity, Shopify/Amazon data * Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale)

Forhyre

Data Engineer

San Francisco, CA · On-site

$134K - $162K/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 ...

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All JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in California

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

Software Development Engineer, Amazon Data Firehose

Amazon

East Palo Alto, CA

$134K - $162K/yr

Full-time

Posted 13 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,833 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Come build the future of data streaming with the Amazon Data Firehose (ADF) team. Amazon Data Firehose is a fully managed service for capturing, transforming, and delivering streaming data to destinations like Amazon S3, S3 Tables, Redshift, Splunk, and OpenSearch Service. It automatically scales to handle incoming data, requires no application to be written, and can perform transformations before delivery, such as format conversion or dynamic partitioning.

Firehose works with billions of events and petabytes of data each day in support of many thousands of customers running mission-critical real-time applications.
We are looking for a Software Development Engineer for the Amazon Data Firehose Team. The team owns all aspects of the Firehose service, including requirements, architecture, design & development, quality assurance, deployment and operations. As an engineer in this team, you will learn the ins and outs of building a highly available, scalable, distributed and secure system that uses all the modern cloud computing paradigms, techniques and tools.
The ideal candidate has experience designing large-scale systems supporting millions of transactions per second, enjoys solving complex software problems, and possesses skills to innovate, design and solve problems at scale

Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm. Your responsibilities will include collaborating with other engineers to build a large scale AWS service, and work with senior leaders to define your team's roadmap, including identifying design and code changes needed in the underlying open source platforms.
About the team
AWS values diverse experiences. Even if you do not meet all of the preferred 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.
Why 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.
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.
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.
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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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