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Aws Data Engineer Jobs in Iowa (NOW HIRING)

Navisoft

AWS Data Engineer

Des Moines, IA · On-site

$111K - $134K/yr

Experience in data analysis, engineering, and solutioning. * Strong experience with AWS services and architecture development using boto3 and CloudFormation. * Experience with scheduling tools ...

1 point system

AWS Data Engineer (Financial)

Cedar Rapids, IA · On-site

$112K - $134K/yr

AWS Data Services: * Amazon Athena and/or Redshift: Experience designing schemas, loading data, and ... Experience leveraging AI tools and technologies to enhance data engineering or analytics workflows.

Pwc

Data Engineer - Senior Manager

Des Moines, IA

$124K - $280K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Deloitte

Data Engineer

Davenport, IA · On-site

$108K - $130K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency.

Deloitte

Data Engineer

Des Moines, IA · On-site

$111K - $134K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency.

Quest Oracle Community

Data Engineer

Des Moines, IA · On-site

$64K - $173K/yr

Required Qualifications * 4+ years of experience working with SQL and relational database management systems * 2+ years of experience in Cloud Data Engineering Platforms such as AWS, GCP, Azure ...

Deloitte

Data Engineer II

Davenport, IA · On-site

$108K - $130K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency.

Deloitte

Data Engineer II

Des Moines, IA · On-site

$111K - $134K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency.

NISC

Intern - Data Engineer

Cedar Rapids, IA · Hybrid

Learn about and contribute to data architecture using AWS and Databricks * Help gather, clean, and transform data from various sources into usable formats * Collaborate with software developers, data ...

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All JobsAws Data Engineer JobsAws Data Engineer Jobs in Iowa

Aws Data Engineer information

See Iowa salary details

$41.8K

$121.8K

$166.7K

How much do aws data engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for aws 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 is an AWS data engineer?

AWS Data Engineers are professionals who design, build, and maintain data pipelines and architectures on Amazon Web Services (AWS). They work with large datasets, using AWS services such as Amazon S3, Redshift, Glue, and EMR to collect, transform, and store data for analytics or business intelligence. Their responsibilities often include ensuring data reliability, scalability, and security while optimizing data workflows and integrating various cloud-based tools. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making. They typically have strong skills in programming, cloud infrastructure, and database management.

What are the key skills and qualifications needed to thrive as an AWS data engineer?

To thrive as an AWS Data Engineer, you need strong skills in data modeling, ETL processes, SQL, and a solid understanding of AWS services, typically supported by a degree in computer science or a related field. Familiarity with AWS tools like Redshift, Glue, S3, Lambda, and certifications such as AWS Certified Data Analytics are highly beneficial. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating with teams and managing complex data projects. Mastery of these skills ensures efficient data pipeline development, reliable data solutions, and the ability to support business intelligence in a cloud environment.

What are some common challenges AWS data engineers face when managing large-scale data pipelines?

AWS Data Engineers often encounter challenges related to optimizing data pipelines for scalability and cost efficiency. Managing data ingestion from diverse sources, ensuring data quality, and handling real-time data processing can be complex at scale. Additionally, they must regularly monitor and troubleshoot pipeline failures, integrate new AWS services, and collaborate closely with data scientists, analysts, and DevOps teams to ensure data accessibility and security. Proactively addressing these challenges is vital for maintaining reliable and efficient data workflows.

What is the difference between Aws Data Engineer vs Data Analyst?

AspectAws Data EngineerData Analyst
Required CredentialsAWS certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes basic programming
Work EnvironmentCloud platforms, big data environments, data pipelinesBusiness intelligence tools, spreadsheets, reporting dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSMarketing, finance, healthcare, and other industries analyzing data

While both roles work with data, Aws Data Engineers focus on building and maintaining data pipelines in cloud environments using AWS tools, whereas Data Analysts interpret data to generate insights and reports. The roles often complement each other in data-driven organizations.

Is AWS Data Engineer in demand?

AWS Data Engineers are in high demand due to the increasing adoption of cloud data platforms and the need for scalable data processing solutions. Skills in AWS services like S3, Redshift, and Glue, along with data modeling and ETL expertise, are highly sought after by employers across various industries.

What does an AWS Data Engineer do?

An AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure on Amazon Web Services. They work with tools like AWS Glue, Redshift, S3, and Lambda to process and analyze large datasets, ensuring data quality and security. Strong programming skills and knowledge of cloud architecture are essential for this role.

What is the salary of AWS Data Engineer?

The average salary for an AWS Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as AWS Certified Data Analytics. Senior roles or those with specialized skills in cloud architecture may earn higher salaries.

What are the most commonly searched types of Aws Data Engineer jobs in Iowa?

The most popular types of Aws Data Engineer jobs in Iowa are:

What are popular job titles related to Aws Data Engineer jobs in Iowa?

For Aws Data Engineer jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Aws Data Engineer jobs in Iowa look for?

The top searched job categories for Aws Data Engineer jobs in Iowa are:

What cities in Iowa are hiring for Aws Data Engineer jobs?

Cities in Iowa with the most Aws Data Engineer job openings:

Aws Data Engineer jobs near you
Infographic showing various Aws Data Engineer job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,838 per year, or $58.6 per hour.

AWS Data Engineer

Des Moines, IA • On-site

Navisoft
See more jobs at Navisoftexternal

$111K - $134K/yr

Other

Posted 6 days ago

Job description

Design, code, test, debug, document, and implement changes to new and existing software applications. Ensure quality and controls are in place, manage escalations, and develop solutions. Execute unit/string testing and potentially create development unit/string test plans. Partner with QA to ensure software applications meet IT standards and business requirements. Participate in design and coding of software applications as part of a team. Coordinate code deployments with Change Management, resolve complex software issues, generate reports for business use, address critical production issues, and participate in Agile/Scrum meetings.

  • Experience with ETL and Data Warehousing concepts.
  • Strong hands-on experience in Python 3.x.
  • Experience handling and transforming data from various sources (flat files, databases, APIs, XMLs) using Python.
  • Knowledge of OOP concepts, inheritance, classes, and functions.
  • Experience in data analysis, engineering, and solutioning.
  • Strong experience with AWS services and architecture development using boto3 and CloudFormation.
  • Experience with scheduling tools (Control-M preferred), databases (PostgreSQL preferred), and SQL.
  • Proficiency with Git.
  • Experience with AWS services (CloudFormation, IAM, S3, EC2, Lambda, Athena, DynamoDB, Step Functions, Event Bridge, Fargate).
  • Experience with CI/CD pipelines and DevOps tools (Jenkins, GitHub/BitBucket, Artifactory).
  • Experience with containerization (Docker/Kubernetes).

Competencies: Python, Amazon Web Service (AWS) Cloud Computing, Actuarial - Life & Pensions

AWS Data Engineer

Design, code, test, debug, document, and implement changes to new and existing software applications. Ensure quality and controls are in place, manage escalations, and develop solutions. Execute unit/string testing and potentially create development unit/string test plans. Partner with QA to ensure software applications meet IT standards and business requirements. Participate in design and coding of software applications as part of a team. Coordinate code deployments with Change Management, resolve complex software issues, generate reports for business use, address critical production issues, and participate in Agile/Scrum meetings.

Essential Skills:

  • Experience with ETL and Data Warehousing concepts.
  • Strong hands-on experience in Python 3.x.
  • Experience handling and transforming data from various sources (flat files, databases, APIs, XMLs) using Python.
  • Knowledge of OOP concepts, inheritance, classes, and functions.
  • Experience in data analysis, engineering, and solutioning.
  • Strong experience with AWS services and architecture development using boto3 and CloudFormation.
  • Experience with scheduling tools (Control-M preferred), databases (PostgreSQL preferred), and SQL.
  • Proficiency with Git.
  • Experience with AWS services (CloudFormation, IAM, S3, EC2, Lambda, Athena, DynamoDB, Step Functions, Event Bridge, Fargate).
  • Experience with CI/CD pipelines and DevOps tools (Jenkins, GitHub/BitBucket, Artifactory).
  • Experience with containerization (Docker/Kubernetes).

Competencies: Python, Amazon Web Service (AWS) Cloud Computing, Actuarial - Life & Pensions

Please note: F1 OPT candidates are not eligible for this role

Required Skills

ETL Data Warehousing Python AWS boto3 CloudFormation Control-M PostgreSQL SQL Git Jenkins GitHub BitBucket Artifactory Docker Kubernetes

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