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Weekend Amazon Data Engineer Jobs in Minnesota (NOW HIRING)

Data Engineer

Minneapolis, MN · On-site

$87K - $124K/yr

The Data Engineer will oversee our transition from on-premise data marts to a cloud hosted ... Strong SQL Server and Amazon Redshift skills. * In depth understanding of database architecture.

Data Engineer

Minneapolis, MN · Hybrid

$87K - $124K/yr

The Data Engineer will oversee our transition from on-premise data marts to a cloud hosted ... Strong SQL Server and Amazon Redshift skills. In depth understanding of database architecture.

Sr Databricks Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Senior Data Engineer

Hopkins, MN · On-site

$107K - $146K/yr

Bank is seeking a Software Engineer who will contribute toward the success of our technology ... Amazon RDS for SQL Server * Azure SQL Database / Azure SQL Managed Instance * Help adapt data ...

Senior Data Engineer

Hopkins, MN

$107K - $146K/yr

Bank is seeking a Software Engineer who will contribute toward the success of our technology ... Amazon RDS for SQL Server * Azure SQL Database / Azure SQL Managed Instance * Help adapt data ...

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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 Minnesota?

The most popular types of Amazon Data Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Weekend Amazon Data Engineer jobs?

Cities in Minnesota with the most Weekend Amazon Data Engineer job openings:

Data Engineer

Minneapolis, MN • On-site

Allegiant
Health Care and Social Assistance • 501 - 1,000 employees

$87K - $124K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Summary

The Data Engineer is responsible for architecting, developing, and maintaining Allegiant’s enterprise data infrastructure. The Data Engineer will oversee our transition from on-premise data marts to a cloud hosted warehouse data and develop the next generation of our data tools.

Visa Sponsorship Available: No

Minimum Requirements

Combination of Education and Experience will be considered. Must be authorized to work in the US as defined by the Immigration Act of 1986. Must pass a Criminal Background Check.

Education: Bachelor’s DegreeIn Computer Science, Engineering, or a related technical field.

Years of Experience:

Minimum three (3) years of experience as a Data Engineer which includes work experience in data mart development and data warehousing, including experience working with ETL processes, OLAP structures, and dimensional modeling.

  • Strong SQL Server and Amazon Redshift skills.
  • In depth understanding of database architecture.
  • Demonstrated basic proficiency in AWS services, including but not limited to S3, Glue, Lambda, and Redshift.
  • Basic understanding of Infrastructure as Code (IAC) principles to define and manage infrastructure using code (e.g., AWS CloudFormation, Terraform).
  • Manage time effectively to meet deadlines across multiple projects.
  • Excellent critical thinker and effective problem solver with creative solutions.
  • Detail oriented and highly organized.
  • Results-driven; accepting responsibility for individual performance and contributions to team projects.
  • Ability to work a hybrid schedule with the expectation to be in the office 2 days a week or 8 days a month (when campus is open) and to work the remainder remotely.
  • Must be able to work in a high pressure environment.
  • Must have sufficient vision and ability to safely perform the essential functions of the position.
Preferred Requirements
  • Python development skills.
Job Duties
  • Develop and maintain Allegiant data marts and data warehouses.
  • Migrate Allegiant’s existing on-premise infrastructure to the AWS environment.
  • Design, implement, and maintain scalable ETL processes to ensure efficient data flow and accessibility.
  • Implement data quality checks to ensure accuracy and reliability of data.
  • Troubleshoot and resolve issues related to data processing and ETL pipelines.
  • Design, build, and implement data transformation, conversion, and validation of data required for BI applications.
  • Maintain SQL Server and Redshift data marts, databases, and data warehouses.
  • Provide services to replicate data from various data sources to reporting database servers for enterprise reporting applications.
  • Work closely with the business to understand and translate user requirements into practical data models.
  • Develop and maintain repeatable, systemic processes while finding ways to make internal team processes more efficient.
  • Other duties as assigned.
Physical Requirements

The Physical Demands and Work Environment described here are a representative of those that must be met by a Team Member to successfully perform the essential functions of the role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the role.

Office/IT - While performing the duties of this job, the Team Member is regularly required to stand, sit, talk, hear, see, reach, stoop, kneel, and use hands and fingers to operate a computer, key board, printer, and phone. May be required to lift, push, pull, or carry up to 50 lbs. May be required to work various shifts/days in a 24 hour situation. Regular attendance is a requirement of the role. Exposure to moderate noise (i.e. business office with computers, phones, printers, and foot traffic), temperature and light fluctuations. Ability to work in a confined area as well as the ability to sit at a computer terminal for an extended period of time. Some travel may be a requirement of the role.

Essential Services Provider

Allegiant as a national air carrier is deemed an essential service provider during declared national and state emergencies. Team Members will be required to report to their assigned trip or work location during national and state emergencies unless prohibited by local, state or federal order.

EEO Statement

We welcome all individuals from varied backgrounds and experiences to apply. Our company celebrates diversity, and we value the unique perspectives and talents that each person brings to our team.

Equal Opportunity Employer: Disability/Veteran

For more information, see https://allegiantair.jobs

$87,000 - $124,700 a year

Full Time Benefits
  • Profit Sharing
  • Medical/Dental/Vision/Life/ Disability Insurance
  • Medical Travel Reimbursement
  • Legal, Identity and Pet Insurance
  • 401K with an employer match
  • Employee Stock Purchase Plan
  • Employee Assistance Program
  • Tuition Reimbursement
  • Flight Benefits
  • Paid vacation, holidays, and sick time
Part Time Benefits
  • Profit Sharing
  • Medical Travel Reimbursement
  • Legal, Identity and Pet Insurance
  • 401K with an employer match
  • Employee Stock Purchase Plan
  • Employee Assistance Program
  • Tuition Reimbursement
  • Flight Benefits
  • Sick time
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