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Weekend Amazon Data Engineer Jobs in Missouri (NOW HIRING)

Atria Group LLC

Big Data Analytics Developer

Saint Louis, MO

$51.50 - $66.75/hr

Senior Big Data Analytics Developer w/proven experience leading the design and build of 'Big Data ... Must be well-versed in writing Scala architecture on OS X and AWS (Amazon Web Services), as well as ...

Kobie Marketing

AI Engineer

Saint Louis, MO · Remote

... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ... We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

Kemper

Python Engineer Manager

Saint Louis, MO

Leadership: Lead a team of engineers, fostering a culture of innovation, collaboration and ... Experience with Amazon SageMaker is a plus * Knowledge of data manipulation techniques and data ...

Amazon

Senior Station Manager

Riverside, MO · On-site

... including overnight, weekends and holidays PREFERRED QUALIFICATIONS - Degree in Engineering ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

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Weekend Amazon Data Engineer information

How much do Weekend Amazon Data Engineers make?

Weekend Amazon Data Engineers typically earn between $50,000 and $100,000 annually, depending on experience, location, and skill set. Compensation may include benefits such as flexible schedules, cloud tools, and data processing platforms like AWS and Spark.

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 Missouri? The most popular types of Amazon Data Engineer jobs in Missouri are:
What are popular job titles related to Weekend Amazon Data Engineer jobs in Missouri? For Weekend Amazon Data Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Missouri look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Missouri are:
What cities in Missouri are hiring for Weekend Amazon Data Engineer jobs? Cities in Missouri with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you

Big Data Analytics Developer

Atria Group LLC

Saint Louis, MO

$51.50 - $66.75/hr

Other

Re-posted 28 days ago

Job description

Company Description

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges.

In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India.

We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career.

Job Description

Senior Big Data Analytics Developer w/proven experience leading the design and build of 'Big Data' algorithmic platforms --

Job responsibilities include implementing the analytics infrastructure, data integration with both streaming and batch sources, efficient distributed processing, and managing predictive analytics models.

Must be well-versed in writing Scala architecture on OS X and AWS (Amazon Web Services), as well as Java and Clojure.

Must have a strong understanding of data modeling in both Remote Procedure Call (RPC) and Representational State Transfer (REST).

My client is currently building a cloud-based analytics platform using open source and SaaS tools--should have experience with Apache Kafka and Samza.

Candidate should have a strong understanding of Test-Driven Development, Agile Methodologies, Continuous Integration, and Continuous Deployment--along with analytics techniques such as Machine Learning and Bayesian Methods.

Must be familiar with NoSQL on the back end.

Additional Information
  1. Good comm skills are a big priority
  2. Duration: 12+ Months

  3. Tampa, FL

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