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

Amazon

Data Engineer, Amazon Ads

New York, NY

$125K - $150K/yr

... Data Engineer who brings: - Deep SQL fluency and 5+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale - Hands-on depth with the Amazon data stack - Datanet ...

Amazon

Data Engineer, Amazon Ads

New York, NY

$125K - $150K/yr

... Data Engineer who brings: - Deep SQL fluency and 5+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale - Hands-on depth with the Amazon data stack - Datanet ...

Amazon

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

... Data Engineer who brings: - Deep SQL fluency and 5+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale - Hands-on depth with the Amazon data stack - Datanet ...

Amazon

Data Engineer III - AMZ9899641

New York, NY · On-site

$170K - $230K/yr

AMAZON ADVERTISING LLC Offered Position: Data Engineer III Job Location: New York, New York Job Number: AMZ9899641 Position Responsibilities: Design, develop, implement, test, document, and operate ...

Bright Mind Solutions LLC

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

AWS Data Engineer Duties: * Design and build data pipelines and ETL workflows using AWS Glue, AWS ... Create and optimize data lakes on Amazon S3 and integrate with Athena and Redshift * Automate data ...

K-Tek Resourcing LLC

AWS Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Title: AWS Data Engineer Location: NYC Duration: Fulltime Interview Mode : 1 in-person ... Build and manage data lakes and data warehouses (e.g., Amazon S3, Redshift, Glue) * Develop and ...

New

Mindsprint Inc.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Sr. Data Engineer - AWS Glue & Snowflake, Healthcare Payer Location - Midtown Manhattan, NYC- 4day ... Amazon S3 * IAM * Lake Formation * CloudWatch * Lambda * Step Functions * EventBridge * Ensure ...

Capgemini America, Inc.

AWS Data Engineer

Manhattan, NY · On-site

$100K - $132K/yr

AWS Glue * Amazon Redshift * Amazon RDS * AWS Lambda * Amazon Kinesis * Strong SQL skills ... AWS Certifications (AWS Certified Data Engineer, AWS Solutions Architect, etc.) * Experience with ...

Tror AI for everyone

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Job Location: New York (100% onsite) (need local to NY or near by locations) Job Type ... Skilled in AWS services such as Amazon EMR, Redshift, and Glue for efficient data processing.

Rivago infotech inc

Data Engineer

Bernardsville, NJ · On-site

$118K - $142K/yr

Basic understanding of Amazon Redshift and S3. * Exposure to Apache Spark for data processing ... Engineering, with a focus on PostgreSQL. * 2-4 years of hands-on experience with PostgreSQL RDS

Shaped

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're a remote team but have a small office in Brooklyn, New York. We are looking for a data engineer to ...

Shaped

Data Engineer

Brooklyn, NY · On-site

$130K - $200K/yr

Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're a remote team but have a small office in Brooklyn, New York. We are looking for a data engineer to ...

United Airlines

AWS Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... warehouses (e.g., Amazon S3, Redshift, Glue) Develop and optimize batch and real-time data ... and DevOps teams Required Skills and Qualifications Bachelors degree in Computer Science ...

CYNET SYSTEMS

AWS Data Engineer

Newark, NJ · On-site

$53 - $58/hr

Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred ... Developer Certification preferred. * Good understanding of Lakehouse/data cloud architecture.

Capgemini

AWS Data Engineer

New York, NY · On-site

$125K - $150K/yr

... warehouses (e.g., Amazon S3, Redshift, Glue) Develop and optimize batch and real-time data ... and DevOps teams Required Skills and Qualifications Bachelors degree in Computer Science ...

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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 New York? The most popular types of Amazon Data Engineer jobs in New York are:
What are popular job titles related to Weekend Amazon Data Engineer jobs in New York? For Weekend Amazon Data Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in New York look for? The top searched job categories for Weekend 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:
Weekend Amazon Data Engineer jobs near you
Data Engineer, Amazon Ads

Data Engineer, Amazon Ads

Amazon

New York, NY

$125K - $150K/yr

Full-time

Posted 22 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,012 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

This is a ground-up, greenfield build - Finance for one of Amazon Ads' newest bets in the agentic space. No legacy pipelines, no inherited dashboards, no pattern to follow. If you're energized by shaping data infrastructure from zero to one inside a fast-moving org, keep reading.
What we're building:
- A finance data platform powering the FAIM org (Full-Funnel Agentic Intelligence & Models) - the team building the next generation of agentic AI advertising products
- Pipelines and models that turn raw data into decisions for greenfield products
- Self-service reporting that scales spanning Engineering, Science, PM-T, and Design across multiple AI native advertising products
This is a startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right the first time.
We're looking for a senior Data Engineer who brings:
- Deep SQL fluency and 5+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale
- Hands-on depth with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and QuickSight (SPICE)
- Strong dimensional data modeling judgment - fact/dim design, SCDs, and the experience to make the right denormalization, partitioning, and lifecycle calls without supervision
- Python (or equivalent) for orchestration, data quality automation, and pipeline tooling beyond SQL
- A willingness to set the bar - define data quality, lineage, SLA, and reliability standards for the org and hold the line on them
- The ability to operate in ambiguity - turn open-ended finance and program questions into durable data products with minimal scoping help
- Excitement about leading the data partnership with Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the team grows
- AI-native experience for automation and defect/opportunity identification using tools such as Kiro, Claude Code, or equivalent
Key job responsibilities
- Own it end-to-end - set the technical direction for the FAIM data warehouse, ETL pipelines, and reporting layer
- Build the tools - architect and operate Datanet/ETLM jobs, Cradle profiles, Andes datasets, and dashboards that finance partners trust as source of truth
- Land the data - integrate telemetry from across Amazon's data ecosystem (Andes subscriptions, EDX, S3, internal services) into a clean, query-ready layer
- Move fast - deliver on OP1/OP2 cycles, MBR/QBR rhythms, and ad-hoc executive asks with bias for action
- Simplify complexity - turn messy, multi-source data into well-documented dimensional models that scale with the org
- Raise the bar - drive code and design reviews and set data quality and pipeline reliability standards

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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