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Weekend Amazon Data Engineer Jobs in Nebraska (NOW HIRING)

Barbaricum

Data Engineer

Omaha, NE · On-site +1

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute ...

Barbaricum

Data Engineer

Omaha, NE

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute ...

Barbaricum

Data Engineer

Omaha, NE · On-site

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute ...

Barbaricum

Data Engineer/Maven SME

Omaha, NE

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute ...

Barbaricum

Data Engineer/Maven SME

Omaha, NE · On-site

$109.50K - $131.50K/yr

... Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute, and ... engineering • 4+ Years of experience with Maven Smart System/Palantir systems • Bachelor ...

Barbaricum

Data Engineer/Maven SME

Omaha, NE · On-site

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute ...

Barbaricum

Data Engineer/Maven SME

Omaha, NE

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute ...

Barbaricum

Data Engineer with Security Clearance

Omaha, NE · On-site +1

$109.50K - $131.50K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute ...

Deloitte

Databricks Engineer

Omaha, NE · On-site +1

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services, and ...

Amazon

Operations Manager

Omaha, NE · On-site

... 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

Operations Manager

Omaha, NE · On-site

... 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

Area Manager II

Omaha, NE · On-site

... 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

Station Manager, RSR

Grand Island, NE · On-site

... 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 ...

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

Data Engineer

Barbaricum

Omaha, NE • On-site, Remote

$109.50K - $131.50K/yr

Other

Posted 12 days ago

Job description

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM J2 at Offutt Air Force Base near Omaha, Nebraska. This individual will work to migrate existing ad hoc data flows to JWICS AWS available to the enterprise. Initially, the Data Engineer will use Python to automate data gathering and data cleaning efforts. Using these foundational efforts, the Data Engineer will then develop, implement, and operate a data management system for the intelligence enterprise.
 

Responsibilities:

  • Design, implement, and operate data management systems for intelligence needs
  • Use Python to automate data workflows
  • Design algorithms databases, and pipelines to access, and optimize data retrieval, storage, use, integration and management by different data regimes and digital systems
  • Work with data users to determine, create, and populate optimal data architectures, structures, and systems; and plan, design, and optimize data throughput and query performance
  • Participate in the selection of backend database technologies (e.g. SQL, NoSQL, etc.), its configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness
  • Assist and advise the Government with developing, constructing, and maintaining data architectures
  • Research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government
  • Align data architecture, acquisition, and processes with intelligence and analytic requirements
  • Prepare data for predictive and prescriptive modeling deploying analytics programs, machine learning and statistical methods to find hidden patterns, discover tasks and processes which can be automated and make recommendations to streamline data processes and visualizations
  • Design, implement, and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests
  • Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute, and manipulate data in order to draw conclusions and make predictions

Qualifications:

  • Active DoD Top Secret/SCI clearance required
  • 8+ years of demonstrated experience in software engineering
  • Bachelor's degree in computer science or a related field. A degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics and/or other relevant experience
  • 8+ years of experience working with AWS big data technologies (S3, EC2) and demonstrate experience in distributed data processing, Data Modeling, ETL Development, and/or Data Warehousing
  • Demonstrated mid-level knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
  • 3+ years of experience using analytical concepts and statistical techniques
  • 8+ years of demonstrated experience across Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science especially around software engineering and/or designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence

Due to security requirements, this position is primarily required to be performed on-site. However, subject to project and customer requirements, team members may be provided flexibility for limited remote support.

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