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Amazon Data Engineer Jobs in Iowa (NOW HIRING)

Data Engineer

Cedar Rapids, IA · Hybrid

$112K - $135K/yr

Data Engineer 12 month Contract to hire Located: Cedar Rapids, IA (Hybrid WFH and Occasional in the ... Amazon Athena and/or Redshift: Experience designing schemas, loading data, and optimizing ...

Data Engineer

Cedar Rapids, IA · On-site

$112K - $134K/yr

Data Engineer 12 month Contract to hire Located: Cedar Rapids, IA (Hybrid WFH and Occasional in the ... Amazon Athena and/or Redshift: Experience designing schemas, loading data, and optimizing ...

Data Engineer - Manager

Des Moines, IA · On-site

$99K - $232K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions ...

Job summary Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Job summary Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

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Amazon Data Engineer information

See Iowa salary details

$41.8K

$121.8K

$166.7K

How much do amazon data engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for amazon data engineer in Iowa is $121,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Amazon Data Engineer position, and why are they important?

To thrive as an Amazon Data Engineer, you need strong proficiency in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically accompanied by a degree in computer science or a related field. Familiarity with AWS cloud services (like Redshift, S3, and Glue), big data tools, and relevant certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-functional teams set standout candidates apart. These skills and qualities ensure data is accurately managed, integrated, and made accessible for analytics and business decisions in Amazon's complex environment.

What types of projects and data challenges do Amazon Data Engineers typically work on in their day-to-day roles?

As an Amazon Data Engineer, you can expect to work on projects involving the design, development, and maintenance of large-scale data pipelines and data warehouses. Common challenges include optimizing data flows for efficiency, handling massive and complex datasets, and ensuring data quality and integrity across various sources. You'll frequently collaborate with data scientists, analysts, and other engineering teams to create scalable solutions that support business intelligence and machine learning initiatives. The fast-paced environment provides opportunities to solve unique technical problems and drive data-driven decision-making across Amazon’s diverse businesses.

What is an Amazon Data Engineer job?

An Amazon Data Engineer is responsible for designing, building, and maintaining data infrastructure to support business intelligence and analytics. They work with large-scale datasets, optimize data pipelines, and ensure efficient data processing. Engineers collaborate with data scientists, analysts, and software teams to enable data-driven decision-making. Key skills include SQL, Python, ETL development, and experience with AWS services like Redshift, S3, and Glue.

What are the most commonly searched types of Amazon Data Engineer jobs in Iowa? The most popular types of Amazon Data Engineer jobs in Iowa are:
What are popular job titles related to Amazon Data Engineer jobs in Iowa? For Amazon Data Engineer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Amazon Data Engineer jobs in Iowa look for? The top searched job categories for Amazon Data Engineer jobs in Iowa are:
Data Engineer

$112K - $135K/yr

Other

Posted 9 days ago


Job description

Data Engineer

12 month Contract to hire

Located: Cedar Rapids, IA (Hybrid WFH and Occasional in the office)

Experience Level: 7-8 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.