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Weekend Amazon Data Engineer Jobs in Kansas (NOW HIRING)

... data infrastructure, and real-time decisioning. Watch our talk at Amazon Tech Talks: StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada or the United States ...

... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ... degree in Engineering, Operations, Supply Chain/Logistics, or a related field. - Industry ...

... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ... degree in Engineering, Operations, Supply Chain/Logistics, or a related field. - Industry ...

... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ... degree in Engineering, Operations, Supply Chain/Logistics, or a related field. - Industry ...

... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ... degree in Engineering, Operations, Supply Chain/Logistics, or a related field. - Industry ...

... data-driven decisions and analytical problem-solving. Our Operation's workflow has three major ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

... Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

New

Security and Loss Prevention Expert, NA

Kansas City, KS · On-site

$50.10K - $68.50K/yr

Identify vulnerabilities and conduct root cause analysis using data to define mitigating actions ... This role covers 24/7 operations and must be able to work all shifts, including nights, weekends ...

... join our engineering team as we continue to expand our data science efforts. Our platform is ... Watch our talk at Amazon Tech Talks: StackAdapt is a remote-first company, and we are open to ...

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Weekend Amazon Data Engineer information

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 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 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 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 Kansas? The most popular types of Amazon Data Engineer jobs in Kansas are:
What are popular job titles related to Weekend Amazon Data Engineer jobs in Kansas? For Weekend Amazon Data Engineer jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Weekend Amazon Data Engineer jobs? Cities in Kansas with the most Weekend Amazon Data Engineer job openings:

Senior/Staff Backend Software Engineer, Mobile App User Acquisition

StackAdapt

Remote

Other

Posted 20 days ago


Job description

In addition, StackAdapt is recognized as a leading programmatic advertising platform for helping brands and agencies accelerate user acquisition with cutting-edge technology that processes billions of ad requests and several terabytes of data daily. Ranked #1 by G2 Crowd for programmatic advertising performance and recognized as one of the fastest growing companies in Canada and North America, our real-time bidding (RTB) systems handle over 3 million requests per second, pushing the boundaries of data engineering and large-scale distributed systems.
 
The Team: Mobile App User Acquisition
Our Mobile App User Acquisition team focuses on designing and building the backend services and pipelines that power high-performance, real-time advertising for mobile app campaigns. We develop and optimize the systems that ensure mobile marketers can effectively reach and engage new users at scale, leveraging advanced algorithms, robust data infrastructure, and real-time decisioning.
 
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
 
StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada or the United States for this position.
What you'll be doing:
  • Design & Build: Develop high-performance, data-intensive microservices (primarily in Go) that drive real-time bidding and user acquisition outcomes for mobile apps.
  • Scale Systems: Architect and maintain event-driven data pipelines that process billions of mobile signals daily, ensuring low-latency and highly available services.
  • Optimize User Acquisition: Collaborate with data scientists and product teams to integrate ML models and sophisticated targeting logic into the bidding process to achieve optimal campaign performance.
  • Leverage Modern Technologies: Work with our evolving stack, including Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, Redshift, ScyllaDB, GraphQL, and other emerging technologies.
  • Ensure Efficiency: Write performance-efficient, memory-optimized code and continually refine services for reliability, scalability, and speed.
  • Data-Driven Insights: Partner with analytics and data engineering to build and optimize reporting systems that surface actionable insights for our clients' user acquisition campaigns.
What you'll bring to the table:
  • 5+ years of experience as a Backend Software Engineer, with exposure to large-scale distributed systems and data pipelines in a mobile user acquisition environment.
  • Strong Problem-Solving: Demonstrated expertise in algorithms, data structures, and complex system design-comfortable tackling low-latency, high-throughput challenges.
  • Database Mastery: Experience working with both relational and NoSQL databases (e.g., Aerospike, Redis, ScyllaDB) for storing and retrieving large volumes of data.
  • Microservices & Messaging: Hands-on experience with building microservices and using message queues (Kafka, SQS, Kinesis) to handle massive event streams in real time.
  • Performance Focus: Proven track record of writing highly optimized, scalable code in Go or similar languages.
  • Team Player: Excellent communication skills and ability to collaborate in a cross-functional, globally distributed environment.