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Weekend Amazon Data Engineer Jobs in Cedar Rapids, IA

Amazon

EHS Specialist

Iowa City, IA · On-site

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Transform safety data into compelling narratives that influence positive change and drive ...

Amazon

Area Manager

Iowa City, IA · On-site

... Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

EHS Specialist

Iowa City, IA · On-site

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Amazon

EHS Specialist

Iowa City, IA

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Aegon

Specialist Software Engineer

Cedar Rapids, IA · On-site

MS Cosmos DB, Apache Cassandra, Amazon DynamoDB) * Three years of development experience with cloud ... EC2, ECS, S3, Kinesis, VMs, Blob, Cosmos, Data Factory, SQL Data warehouse, ARM Templates, Event ...

Transamerica

Lead Software Engineer

Cedar Rapids, IA · On-site

MS Cosmos DB, Apache Cassandra, Amazon DynamoDB) * Four year of development experience with cloud ... EC2, ECS, S3, Kinesis, VMs, Blob, Cosmos, Data Factory, SQL Data warehouse, ARM Templates, Event ...

Aegon

Lead Software Engineer

Cedar Rapids, IA

MS Cosmos DB, Apache Cassandra, Amazon DynamoDB) * Four year of development experience with cloud ... EC2, ECS, S3, Kinesis, VMs, Blob, Cosmos, Data Factory, SQL Data warehouse, ARM Templates, Event ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Cedar Rapids, IA

Weekend Amazon Data Engineer information

See Cedar Rapids, IA salary details

$43.6K

$127K

$173.8K

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

As of Aug 24, 2026, the average yearly pay for weekend amazon data engineer in Cedar Rapids, IA is $126,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $134,600.00 per year, depending on experience, location, and employer.

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 cities near Cedar Rapids, IA are hiring for Weekend Amazon Data Engineer jobs?

Cities near Cedar Rapids, IA with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

AWS Data Engineer (Financial)

1 point system

Cedar Rapids, IA • On-site

$112K - $134K/yr

Contractor

Re-posted 12 days ago

Job description

Experience Level: 3–4 years in a technical role within Financial Reporting identifying data sources, creating data pipelines, optimizing database performance and maintaining data pipelines.
We are looking for an AI first mindset to meet the evolving needs of our business, which will require research and learning of AI tools and concepts at work and outside of work.
 
Core Technical Skills

  • AWS Data Services:
    • Amazon Athena and/or Redshift: Experience designing schemas, loading data, and optimizing performance for analytical workloads.
    • Amazon S3: Working knowledge of S3 bucket structures, data organization, lifecycle management, and integration with downstream analytics platforms.
    • Glue Jobs: To create Data Pipelines with ETL capabilities.
  • Database Design & Development: Proven experience designing, optimizing, and maintaining relational data models to support reporting and analytics use cases in the Insurance and/or Financial Services industry.
  • T‑SQL: Strong proficiency writing, tuning, and troubleshooting complex T‑SQL queries, stored procedures, and views.
  • ETL & Data Integration: Hands‑on experience with ETL tools and frameworks to ingest, transform, and validate data from multiple source systems.
  • Data Pipeline Creation: Demonstrated ability to build and maintain reliable, scalable, and automated data pipelines with appropriate monitoring and error handling.
  • BI & Reporting Tools:
    • Power BI: Experience developing datasets, semantic models, dashboards, and reports for business and finance stakeholders.
    • Smart View: Familiarity using Smart View for financial reporting, analysis, and integration with EPM or financial systems.

AI & Advanced Analytics (1–2 Years Preferred)

  • Experience leveraging AI tools and technologies to enhance data engineering or analytics workflows.
  • Practical knowledge of grounding large language models (LLMs) to structured data stores, such as databases, data warehouses, or curated datasets.
  • Understanding of data quality, security, and governance considerations when integrating AI solutions with enterprise data.

Domain Expertise (Strong Preference)

  • Deep understanding of Financial Reporting concepts and processes.
  • Insurance and/or Financial Services industry experience strongly preferred, including familiarity with:
    • Oracle ERP/EPM modules
    • Expense Data, Capital Data, and Sales Data
    • Financial statements and regulatory reporting
    • Data controls, reconciliations, and audit considerations
    • Complex financial data models and hierarchies

Soft Skills & Work Style

  • Strong analytical and problem‑solving skills with attention to detail.
  • Ability to collaborate effectively with finance, reporting, and technology teams.
  • Clear communication skills, especially when translating technical concepts for business stakeholders.
  • Comfortable working in a fast‑paced, contract‑to‑hire environment with an emphasis on delivering production‑ready solutions.