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Weekend Amazon Data Engineer Jobs in Madison, WI

Iff

Life Science Data Engineer

Madison, WI

$115K - $138K/yr

... g., Amazon Web Services, Laboratory Information Management Systems, Benchling, and contract ... D. in Data Engineering, Computational Biology, Data Science, or a related field with relevant ...

Exact Sciences

Staff Data Engineer - Science

Madison, WI

$115K - $138K/yr

As a Staff Data Engineer, this extremely seasoned professional will demonstrate competence and ... Ability to work nights and/or weekends, as needed. * Uphold company mission and values through ...

Amazon

Mechatronics & Robotics Technician

Madison, WI · On-site

About Maintenance at Amazon Operations is at the heart of Amazon's business. We are known for our ... Reliability Maintenance & Engineering (RME) are the business partners that work tirelessly behind ...

Amazon

Senior Product Manager, Zappos

Madison, WI · On-site

$127K - $168K/yr

Your stakeholders include senior leadership, engineering, technology, supply chain, transportation ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

Amazon

Senior Product Manager, Zappos

Madison, WI

$127K - $168K/yr

... with engineering, supply chain, technology, and operations teams. This position requires strong ... performance data, understanding drivers of promise deviations, and translating insights into ...

Amazon

Senior Product Manager, Zappos

Madison, WI

$127K - $168K/yr

... with engineering, supply chain, technology, and operations teams. This position requires strong ... performance data, understanding drivers of promise deviations, and translating insights into ...

Exact Sciences

Principal Software Engineer

Madison, WI

$136K - $182K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Amazon AWS Services/SDKs, etc.). * Agile development tools; including, but not limited to, JIRA ...

Exact Sciences

Principal Software Engineer

Madison, WI · On-site

$136K - $182K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Amazon AWS Services/SDKs, etc.). * Agile development tools; including, but not limited to, JIRA ...

Exactsciences

Principal Software Engineer

Madison, WI

$136K - $182K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Amazon AWS Services/SDKs, etc.). * Agile development tools; including, but not limited to, JIRA ...

Exactsciences

Sr. Software Engineer

Madison, WI

$123K - $162K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Amazon AWS Services/SDKs, etc.). * Agile development tools; including, but not limited to, JIRA ...

Exact Sciences

Sr. Software Engineer

Madison, WI

$123K - $162K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Amazon AWS Services/SDKs, etc.). * Agile development tools; including, but not limited to, JIRA ...

Exact Sciences

Sr. Software Engineer

Madison, WI · On-site

$123K - $162K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Amazon AWS Services/SDKs, etc.). * Agile development tools; including, but not limited to, JIRA ...

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Weekend Amazon Data Engineer information

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$44.8K

$130.7K

$178.9K

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

As of Jun 9, 2026, the average yearly pay for weekend amazon data engineer in Madison, WI is $130,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $138,500.00 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 Madison, WI? For Weekend Amazon Data Engineer jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Madison, WI look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Madison, WI are:
What cities near Madison, WI are hiring for Weekend Amazon Data Engineer jobs? Cities near Madison, WI with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you
Life Science Data Engineer

Life Science Data Engineer

International Flavors & Fragrances, Inc.

Madison, WI • On-site

$115K - $138K/yr

Full-time

Posted 10 days ago

International Flavors & Fragrances rating

8.1

Company rating: 8.1 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

104th of 516 rated manufacturers

Job description

Job Summary
Are you passionate about transforming complex biological data into scalable solutions that drive scientific discovery?
IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences. We deliver sustainable innovations that elevate everyday products.
Health & Biosciences: Channeling our passion for nature and bioscience into sustainable, life-enhancing technologies that power innovative solutions across healthcare, food, consumer and industrial markets.
As a Life Science Data Engineer, you will play a key role in advancing digital transformation within microbiology and microbiome research and development. You will partner with scientists, bioinformaticians, and statisticians to design and scale data systems supporting experimental workflows, enabling data-driven discovery and real-world application of microbiome insights.
The role is based in Madison, Wisconsin (on-site role). Be part of a collaborative, innovative, and solution-oriented team where together we can achieve meaningful impact. Your potential is our inspiration.
Where You'll Make a Difference
  • Collaborate with scientific teams to design scalable data capture systems and user-friendly visualizations of experimental results
  • Design and implement database architectures, data models, and automated data pipelines across platforms (e.g., Amazon Web Services, Laboratory Information Management Systems, Benchling, and contract research organization systems)
  • Develop structured data models capturing microbial strain metadata, growth conditions, and experimental outputs
  • Partner with researchers to standardize experimental metadata, ontologies, and data structures to improve data quality, reproducibility, and traceability
  • Build and maintain data warehouses supporting probiotic growth, strain characterization, and clinical datasets
  • Develop and implement robust data quality and integrity checks across data ingestion workflows, including integration of externally generated clinical data
  • Build pipelines integrating multi-modal datasets (e.g., sequencing, metabolomics, in vitro assays, and clinical endpoints)
  • Partner cross-functionally to prototype and deploy digital solutions that enhance research and development efficiency and scalability

What Makes You the Right Fit
  • Ph.D. in Data Engineering, Computational Biology, Data Science, or a related field with relevant experience; or M.S. with equivalent professional experience
  • Strong Structured Query Language (SQL) skills and experience with database systems such as SQL Server, PostgreSQL, or Oracle
  • Proficiency in Python, R, or Spark for data processing and analysis
  • Experience working with biological or experimental datasets with complex metadata structures
  • Familiarity with statistical or computational analysis of biological systems
  • Demonstrated ability to manage multiple projects and work independently in a dynamic environment
  • Strong communication and collaboration skills, with experience partnering effectively with scientific teams
  • Experience designing scalable data architectures and optimizing data workflows for downstream users

How Would You Stand Out?
  • Knowledge of clinical data standards and models (e.g., Observational Medical Outcomes Partnership (OMOP), Clinical Data Interchange Standards Consortium (CDISC)) and healthcare coding systems
  • Experience working with microbiome or host-microbiome datasets, including translational or clinical research
  • Understanding of microbial physiology, fermentation processes, or multi-omics data integration

Why Choose Us?
  • Opportunity to work on impactful, real-world data and digital transformation projects
  • Exposure to cutting-edge microbiome and probiotic research
  • Collaborative environment with highly skilled scientists, engineers, and data experts
  • Access to learning and development opportunities to grow technical and domain expertise
  • Inclusive and purpose-driven culture focused on innovation and sustainability

We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.
Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more

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