1

Weekend Amazon Data Engineer Jobs in Kansas (NOW HIRING)

We are a software services team, not a data engineering team. Watch our talk at Amazon Tech Talks: StackAdapt is a Remote First company; we are open to candidates located anywhere in Canada or the ...

Senior AWS Cloud Architect

Park City, KS · On-site

$58 - $76/hr

... s Engineer - Professional or Associate Preferred Skills: Familiarity with containerization and orchestration (Docker, Amazon ECS/EKS). Strong understanding of data governance, data privacy ...

Senior AWS Cloud Architect

Park City, KS · On-site

$58 - $76/hr

... Engineer - Professional or Associate Preferred Skills: • Familiarity with containerization and orchestration (Docker, Amazon ECS/EKS). • Strong understanding of data governance, data privacy ...

... data engineering, and AI-enabled capabilities. You will work with leading technologies and help ... SecOps, Amazon Web Services (AWS), or Microsoft Azure * 1+ years of experience with security ...

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

DevOps Engineer

Overland Park, KS · On-site

$49.75 - $68/hr

Working knowledge of application and data services such as IIS App Pools, RabbitMQ, ElasticSearch ... Occasionally working evenings or weekends as required for scheduled or emergency maintenance.

DevOps Engineer

Overland Park, KS · On-site

$49.75 - $68/hr

Working knowledge of application and data services such as IIS App Pools, RabbitMQ, ElasticSearch ... Occasionally working evenings or weekends as required for scheduled or emergency maintenance.

Hands-on experience using Amazon Web Services (AWS) in a professional environment to build ... Any compensation range provided for a role is an estimate determined by available market data. The ...

Support maintaining data integrity, consistency, and reliable automation across the revenue tech ... You who have experience implementing and using Enterprise AI Platforms like Glean, Amazon Quick, or ...

New

Senior Software Engineer, Java | Backup

Kansas, KS · Remote

$110K - $145K/yr

Deep understanding of OOP design principles, with expertise in scaling data structures and object ... Amazon SQS, or SNS. * Experience with caching systems (Redis a strong plus) and expert knowledge of ...

Manufacturing Engineer

Park City, KS

$65K - $84K/yr

Reviews and approves supplier data to ensure manufacturing related requirements are met. * Confers ... This role may require working on a rotating shift basis, including nights, weekends, and overtime ...

Showing results 41-60

Weekend Amazon Data Engineer information

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 Kansas?

The most popular types of Amazon Data Engineer jobs in Kansas 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:

Engineering Manager II, Creatives

StackAdapt

Remote

Full-time

Re-posted 11 days ago


Job description

About the Team:

The Creative team manages all aspects of the creatives pipeline at StackAdapt, from serving creatives on bid requests to dynamic creative selection, creative approval and audit workflows, and applying complex business rules. We interact with several downstream services and stakeholders, including Bidding, Data Science, and Product.

Our systems are built in Golang and handle millions of requests per second with an SLA of 100ms. We leverage AWS, Kubernetes, Kafka, Aerospike, and other modern tools and databases. We are a software services team, not a data engineering team.

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:
  • Lead a team of backend engineers who own the creative pipeline, supporting their day-to-day execution and removing blockers so the team ships reliably.
  • Execute on roadmap milestones defined with Product and senior engineering leadership; break initiatives down into well-scoped sprints and track delivery, flagging risks and delays to stakeholders early.
  • Run the team's agile rituals (stand-ups, planning, retros) and continuously monitor sprint health - velocity, workload balance - to prevent burnout and keep commitments realistic.
  • Conduct regular 1:1s, give timely tactical feedback, build psychological safety, and support engineers in executing on their growth plans; surface performance concerns to leadership early.
  • Stay close to the technology: participate in code reviews and architecture discussions, uphold coding and testing standards, and help the team make sound, scalable component-level design decisions.
  • Coordinate with peer teams (Bidding, Data Science, Product) on immediate cross-team dependencies affecting creative serving and selection.
  • Participate in incident resolution and support the team's on-call rotation; ensure production issues are followed through to root cause.
  • Participate in interviews and provide hiring feedback; help onboard new team members smoothly.
  • Encourage adoption of approved AI tooling (code generation, debugging, documentation) to raise team velocity.
  • Model StackAdapt's values in daily work and foster a culture of trust, transparency, and technical excellence.
What You'll Bring to the Table
  • Experience in adtech or martech, experience with (and not exclusively to) creative serving in a programmatic advertising space, understanding of different advertising channels and how they work together to serve creatives to users.
  • Experience with Dynamic Creative Optimization (DCO), and ad markup and rendering.
  • 1+ years of people management experience, or 2+ years as a tech lead / mentor for a backend team, with a desire to grow into a career manager.
  • 5+ years of backend development experience in distributed systems, microservices, and high-throughput, low-latency services.
  • Proficiency in at least one backend language (Golang preferred; Java, Kotlin, C++, Rust, or similar).
  • A hands-on leadership style - comfortable reviewing code, debating architecture, and diving into production incidents alongside the team.
  • Strong grasp of computer science fundamentals, data structures, and algorithms.
  • Working knowledge of modern development methodologies (Scrum, Kanban) and a track record of delivering on committed milestones.
  • Clear, transparent communication with both technical teams and non-technical stakeholders (Product, Project Management).
  • Hands-on experience with our stack.

Nice to Have: 

  • Frontend development experience, understanding of web technologies and how creatives are served and rendered in the browser, and frontend device.
  • Experience operating systems under global compliance and privacy frameworks.
Â