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Weekend Amazon Data Engineer Jobs in Rochester, MI

Pwc

Data Engineer - Manager

Detroit, MI

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Deloitte

Databricks Data Engineer II

Detroit, MI

$113K - $136K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Deloitte

Sr Databricks Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Pwc

Data Engineer - Senior Associate

Detroit, MI

$77K - $202K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions ...

Raymondjames

Lead Cloud Data Engineer

Southfield, MI · Hybrid

$94K - $123K/yr

Integrate data from various sources into Amazon Redshift, ensuring data quality and consistency ... Mentor and guide junior engineers on the team. * Continuously explore new AWS services and ...

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Weekend Amazon Data Engineer information

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$41K

$119.4K

$163.4K

How much do weekend amazon data engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for weekend amazon data engineer in Rochester, MI is $119,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $126,600.00 per year, depending on experience, location, and employer.

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 popular job titles related to Weekend Amazon Data Engineer jobs in Rochester, MI? For Weekend Amazon Data Engineer jobs in Rochester, MI, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Rochester, MI look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Weekend Amazon Data Engineer jobs? Cities near Rochester, MI with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you
Software Dev Engineer, Cradle (Accuro)

Software Dev Engineer, Cradle (Accuro)

Amazon

Detroit, MI • On-site

Full-time

Posted 20 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,002 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Build exabyte-scale data processing engines with leading-edge technology. If you want to work with Spark, Java, Scala, Python, Flink, Beam, and AWS services (EMR, EKS, Kinesis, DynamoDB, SQS) - processing and transforming data across Amazon's data lakes - this is the role for you.
About the Team
The BDT team builds the platform that connects millions of businesses to hundreds of millions of customers across Amazon's global marketplaces. We enable native SQL, machine learning, and functional transformations using Apache Spark - executing batch, ML, and streaming workloads over schema'd data in S3, and writing curated datasets to front-end caches (DynamoDB, Redis, ElasticSearch)

Our platform lets customers transition seamlessly between Streaming, Batch, Cache, and Analytics to meet demand at Amazon scale.
We are a team that relentlessly innovates, keeps customers at the center, and delivers results with velocity while continuously raising the bar.
What We're Looking For
Background in distributed systems development
Solid technical ability and passion for building at scale
Good communication skills and a bias for action
Motivation to deliver results in a fast-paced, high-impact environment
Key job responsibilities
Design & Delivery - Lead the design and delivery of major features and re-architecture of significant technology components
Quality & Operational Excellence - Ensure software maintains a high bar for quality, security, architecture, and operational excellence
Problem Solving - Identify root causes of widespread issues - including those limiting innovation and delivery velocity - across systems and components
Technical Leadership - Make sound trade-offs between short-term technical/operational needs and long-term business impact; take calculated risks and mitigate long-term risk
Collaboration & Influence - Engage with and influence team members, external teams, partners, and leadership
Mentorship - Mentor less experienced engineers, provide career development opportunities, and deliver constructive feedback to peers
Communication - Effectively communicate technical decisions, trade-offs, and business rationale across the organization
A day in the life
The challenges you'll solve at Amazon are big - influencing millions of customers, sellers, and products worldwide. We're looking for individuals passionate about building new products, features, and services from scratch while navigating ambiguity at a pace where development cycles are measured in weeks, not years.
Your day includes daily standups, driving your goals and deliverables, contributing to innovation and operational excellence, rotating on-call every 8-10 weeks, and continuously improving the customer experience.

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

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