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Weekend Amazon Data Engineer Jobs in Kansas (NOW HIRING)

Data Engineer

Kansas City, KS · On-site

$107K - $129K/yr

Data Engineer Location: 5000 Kansas Avenue Kansas City, KS 66106 Department: IT Make us your BEST ... hours and weekend support. * Take ownership of following on-call procedures and instituting ...

Director of Data Engineering We are seeking an experienced Director of Data Engineering responsible ... Enable self-service analytics and reporting using Amazon QuickSight * Build and operate data ...

Amazon Connect Architect

Canada, KY · Remote

$54 - $71.25/hr

... data workflows. Responsibilities * Architect end-to-end AWS-based solutions for Amazon Connect ... Lead cross-functional engineering, DevOps, and product teams to deliver complex solutions * Align ...

$54 - $71.25/hr

... data workflows. Responsibilities * Architect end-to-end AWS-based solutions for Amazon Connect ... Lead cross-functional engineering, DevOps, and product teams to deliver complex solutions * Align ...

... 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 ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

... 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 ...

Data Architect

Leawood, KS · On-site

$62 - $79.75/hr

Implement DataOps/DevOps practices and automation to streamline and operationalize data workflows ... Synapse/Fabric, Amazon Redshift). * Strong expertise in data architecture, modeling (ERDs ...

Data Architect

Leawood, KS · On-site

$62 - $79.75/hr

Implement DataOps/DevOps practices and automation to streamline and operationalize data workflows ... Synapse/Fabric, Amazon Redshift). * Strong expertise in data architecture, modeling (ERDs ...

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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 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 job categories do people searching Weekend Amazon Data Engineer jobs in Kansas look for? The top searched job categories for Weekend 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:
Data Engineer

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Associated Wholesale Grocers rating

6.8

Company rating: 6.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

24th of 119 rated grocery stores


Job description


Data Engineer
Location: 5000 Kansas Avenue Kansas City, KS 66106
Department: IT
Make us your BEST Choice!
Associated Wholesale Grocers (AWG) is transforming our business intelligence, analytics, and data automation capabilities. The goal is to level up data warehousing and data management capabilities, including curated and cleansed data sets, certified data models and sources. We are adapting to cloud-based data automation for data cleansing, extraction, loading, transformations and visualizations. Another goal is to expand storage and compute capacity for ingestion of structured and unstructured data.
As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this journey. Your primary area of responsibility will be building a strong data ecosystem which supports a new company-wide business intelligence and analytics environment. You will assist in the design and development of standardized datasets derived from multiple systems of record. A key area of success for this role is developing or applying existing development and scripting skills in process automation to orchestrate data pipelines from business systems, data lakes and third-party data repositories. You will be creating and loading dimensional models that will be used for analysis and reporting. As you work on projects and enhancements you will assist in refining data governance within business processes and the technical tool chain. A key to success in this role is to quickly learn the meaning of business data and understand the business domain.
Scope: This role is a learning position that requires hands-on review and supervision from leads, managers and occasionally Directors.
Position Responsibilities:
Support Availability and Services (50-60%)
  • Troubleshoot and develop solutions to problems, including using AWG approved AI tools such as Gemini, CoPilot and NotebookLM.
  • Collaborate with other developers and support engineers to resolve production, enhancement or development issues.
  • Participate in an on-call rotation for integration and transformation pipelines, legacy systems, and modern data platforms that may involve occasional off-hours and weekend support.
  • Take ownership of following on-call procedures and instituting permanent fixes for repetitive problems.
  • Maintain documentation for legacy systems, jobs, modern pipelines, and modernization implementation.
  • Understand and implement change control procedures (including RFC, CAB, CI/CD).

Deliver Solutions (25%)
  • Build real-time and batch data integrations from disparate source systems into the data lake/data warehouse/delta lake.
  • Build and maintain scalable ETL processes using workflow automation tools.
  • Provide documentation (including Technical Design Documents) for installations and deliverables.
  • Design dimensional models and be able to cleanse and transform raw data into structured formats.
  • Administer and maintain data pipelines used for loading data into the data warehouse or lakehouse.
  • Scale and tune data pipelines, data sets, and SQL queries.
  • Responsible for Unit testing, support of Integration testing, and User Acceptance Testing.
  • Required Basic Skills: Develops timely and proper change documentation. Proactively communicates status to key stakeholders to diagnose and ensure delivery is on track. Takes ownership of assignments. Proactively drives results and seeks support when hitting barriers. Exhibits curiosity to understand how changes fit into the overall scope.

Learning and Continuous Improvement (10-20%)
  • Responsible for understanding and adoption of IT Architecture practice.
  • Continuous learning of existing and future data technologies and tools.
  • Apply standard methodologies to analyze, design, develop, test, and deploy data management solutions.
  • Participate in agile story authoring, sizing, and demo sessions for developed features.
  • Participate in code reviews and receive feedback from the team.
  • Propose process improvements for continuous department maturity.

Align Roadmap and Strategy (5%)
  • Collaborate with business partners to understand their business problems or needs and desired outcomes.
  • In collaboration with other members of the team and user community, configure cloud-based capabilities that enable the AWG community.
  • Communicate priorities to the technology organization to drive effective business solutions.
  • Maintain verbal and written issue identification and status updates to cross-functional teams and leadership.

Position Requirements:
  • Experience: 1-3 years of data engineering or related experience (Associate Analyst level). Basic understanding of data modelling, mapping and data quality/governance practices.
  • Education: Bachelor's degree in software engineering, computer science, computer information systems, or related degree, or equivalent professional experience.
  • SQL Skills: Must be able to read/write SQL in the following environments (SQL Server, Oracle, DB2).
  • Cloud Experience: Experience working in cloud data environments (AWS, Azure). Experience working with AWS or Azure workflow orchestration tools.
  • Data Systems: Experience working with one or more columnar storage systems (Snowflake, Redshift, BigQuery, etc.).
  • Process: Must have completed at least one full cycle of building a data lake and/or a data warehouse.
  • Analytical Skills: Knowledge and skills with Power BI will be important, not critical.
  • Soft Skills: Strong business communications skills for requirements gathering and development. Ability to multi-task and change priorities.

Nice To Have:
  • Worked with or built Data Lakes, Data Warehouse in a hybrid environment (cloud / on-premises).
  • Experience working with CRM systems like Salesforce.
  • Experience with end-to-end supply chain or merchandising.
  • Exposure to data streaming tools and technologies like Kafka, TensorFlow or similar.
  • Basic knowledge and understanding of statistics and awareness of data science methodologies.

Associated Wholesale Grocers, Inc. (AWG) is the nation's largest cooperative food wholesaler to independently owned supermarkets, serving 1,100 member companies and 3,500 locations throughout 33 states from 9 wholesale division support centers. Consolidated sales for AWG in 2024 were $12.1 billion. In addition to its cooperative wholesale operations, the company also operates subsidiary companies that provide certain real estate and supermarket development services, and pharmaceutical products. For more information, visit AWGinc.com.
Benefits:
  • Medical, Dental, & Vision Insurance
  • Health Savings Account
  • Dependent Care Flexible Spending Account
  • Paid Vacation, Holiday, and Sick Time
  • 401(k) with 4% match along with 3 other contributions
  • Tuition Reimbursement
  • Basic & Supplemental Life and AD&D
  • Employee Assistance Program
  • Short-Term and Long-Term Disability
  • Wellness Program
  • Yearly Holiday Bonus

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