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Aws Data Engineer Jobs in Iowa (NOW HIRING)

AWS Data Engineer (Financial)

Cedar Rapids, IA ยท 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.

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

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

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

data engineer

Des Moines, IA ยท On-site

$111K - $134K/yr

Data Engineer Des Moines, Iowa We are seeking a Data Engineer to build scalable, cloud-native data ... Serverless Development: Write efficient, clean backend logic in Python using AWS Lambda

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

Data Engineer

Davenport, IA ยท On-site

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Des Moines, IA ยท On-site

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Clinton, IA ยท On-site

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Iowa City, IA ยท On-site

$99K - $119K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Cedar Rapids, IA ยท On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Waterloo, IA ยท On-site

$106K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Sioux City, IA ยท On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Senior Data Engineer

Cedar Rapids, IA ยท On-site

$95K - $115K/yr

Summary The Senior Data Engineer will support creation of the Book of Record by building AWS-based ... The role requires strong AWS expertise, Snowflake / Power BI integration, data quality focus, and ...

Senior Data Engineer

Cedar Rapids, IA ยท Hybrid

$95K - $115K/yr

Summary The Senior Data Engineer will support creation of the Book of Record by building AWS-based ... The role requires strong AWS expertise, Snowflake / Power BI integration, data quality focus, and ...

... AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

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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 Jul 26, 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 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 engineers make 300,000 a year?

Senior data engineers, including those working with cloud platforms like AWS, often earn $300,000 or more annually, especially with extensive experience, advanced skills in data architecture, and certifications. High salaries are common in competitive markets and for engineers involved in large-scale data projects or leadership roles.

What are AWS Data Engineers?

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, and why are they important?

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 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.

What engineer makes $500,000 a year?

An experienced senior data engineer, such as an AWS Data Engineer with specialized skills in cloud infrastructure, big data tools, and certifications, can potentially earn $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such roles often require extensive experience, advanced technical expertise, and leadership responsibilities.

Is AWS Data Engineer in demand?

AWS Data Engineer roles are in high demand due to the increasing adoption of cloud computing and data-driven decision making. Professionals with skills in AWS services, data pipelines, and big data tools are sought after across various industries, often commanding competitive salaries and requiring certifications like AWS Certified Data Analytics - Specialty.

What is the salary of AWS data engineer?

The average salary of 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 in high-cost areas may earn higher salaries, and proficiency with tools like Spark, Hadoop, and SQL can influence compensation.
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 cities in Iowa are hiring for Aws Data Engineer jobs? Cities in Iowa with the most Aws Data Engineer job openings:
Infographic showing various Aws Data Engineer job openings in Iowa as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $121,838 per year, or $58.6 per hour.
AWS Data Engineer (Financial)

AWS Data Engineer (Financial)

1 point system

Cedar Rapids, IA โ€ข On-site

$112K - $134K/yr

Contractor

Posted 13 days ago


Job description

Experience Level: 3โ€“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.
  • Tโ€‘SQL: Strong proficiency writing, tuning, and troubleshooting complex Tโ€‘SQL queries, stored procedures, and views.
  • ETL & Data Integration: Handsโ€‘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 (1โ€“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 problemโ€‘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 fastโ€‘paced, contractโ€‘toโ€‘hire environment with an emphasis on delivering productionโ€‘ready solutions.