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Etl Jobs in Iowa (NOW HIRING)

Component Engineer Intern

Pella, IA · On-site

$17 - $22/hr

What You'll Do 1. Analyze data ingestion, transformation, and loading (ETL) techniques for accuracy. 2. Understand basic business requirements and engage with integration developers to design and ...

New

Develops SQL queries and analytical logic to validate ETL outputs and reporting accuracy. Reconciles discrepancies and confirms adherence to defined business rules. Collaborates with Data Engineers ...

Develops SQL queries and analytical logic to validate ETL outputs and reporting accuracy. Reconciles discrepancies and confirms adherence to defined business rules. Collaborates with Data Engineers ...

Develops SQL queries and analytical logic to validate ETL outputs and reporting accuracy. Reconciles discrepancies and confirms adherence to defined business rules. Collaborates with Data Engineers ...

Develop and optimize data pipelines and ETL processes using SQL Server, SSIS, AWS Glue, Oracle, or equivalent technologies to move and transform trade, position, valuation, and accounting data.

Senior Murex Software Engineer

Cedar Rapids, IA · On-site

$119K - $158K/yr

Develop and optimize data pipelines and ETL processes using SQL Server, SSIS, AWS Glue, Oracle, or equivalent technologies to move and transform trade, position, valuation, and accounting data.

Big Data Architect

Des Moines, IA

$62.25 - $80/hr

Then we will have Informatica connect to these structure to perform ETL into an on premise Data warehouse. Since Informatica part will be developed by the Client team, it is an optional skill. But we ...

Big Data Architect

Des Moines, IA · On-site

$62.25 - $80/hr

Then we will have Informatica connect to these structure to perform ETL into an on premise Data warehouse. Since Informatica part will be developed by the Client team, it is an optional skill. But we ...

Showing results 21-40

Etl information

See Iowa salary details

$29

$53

$76

How much do etl jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for etl in Iowa is $53.89, according to ZipRecruiter salary data. Most workers in this role earn between $46.06 and $60.29 per hour, depending on experience, location, and employer.

What is an ETL job?

ETL stands for Extract, Transform, Load, which refers to a process used in data integration and management. ETL jobs involve extracting data from various sources, transforming it into a consistent format, and loading it into a destination system such as a data warehouse. Professionals working in ETL design, develop, and maintain these processes to ensure data is accurate, reliable, and ready for analysis. ETL is essential for organizations that need to consolidate data from multiple sources for business intelligence and reporting.

What are the key skills and qualifications needed to thrive as an ETL developer?

To thrive as an ETL Developer, you need strong skills in data analysis, SQL, database management, and a background in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or Microsoft SSIS, and possibly certifications in data engineering or relevant platforms, is typically expected. Analytical thinking, attention to detail, and effective communication are crucial soft skills for translating business requirements into technical solutions. These skills are vital to ensure accurate, efficient, and reliable data integration processes that support business intelligence and decision-making.

What are some typical challenges faced by ETL professionals during data integration projects?

ETL professionals often encounter challenges such as handling inconsistent or incomplete data, optimizing performance for large-scale data loads, and ensuring data security during transfers. Coordination with multiple teams—like data architects, business analysts, and database administrators—is essential to clarify data requirements and resolve issues quickly. Additionally, adapting ETL processes to evolving business needs and new data sources requires a proactive and problem-solving mindset.

What is the difference between Etl vs Data Analyst?

AspectEtlData Analyst
Required CredentialsTypically requires knowledge of SQL, scripting, and data warehousing toolsRequires skills in statistics, data visualization, and often a degree in analytics or related fields
Work EnvironmentData integration and pipeline development in data warehouses or ETL toolsData interpretation, reporting, and visualization in business or research settings
Industry UsageUsed in data engineering, data warehousing, and BI projectsUsed across industries for insights, reporting, and decision-making

ETL (Extract, Transform, Load) specialists focus on building data pipelines to move and prepare data for analysis. Data Analysts interpret and visualize data to support business decisions. While ETL involves technical data processing, Data Analysts focus on analyzing and presenting data insights.

Is ETL in demand now?

ETL (Extract, Transform, Load) specialists are in high demand due to the growth of data-driven decision-making and the increasing need for data integration in organizations. Skills in tools like Apache NiFi, Talend, or Informatica, along with knowledge of databases and scripting, enhance job prospects in this field.

What are popular job titles related to Etl jobs in Iowa?

For Etl jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Etl jobs in Iowa look for?

The top searched job categories for Etl jobs in Iowa are:

What cities in Iowa are hiring for Etl jobs?

Cities in Iowa with the most Etl job openings:

Infographic showing various Etl job openings in Iowa as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 8% Part Time, and 8% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $112,097 per year, or $53.9 per hour.

Senior Data Engineer

Professional Project Partners, Inc

West Des Moines, IA • On-site

$120K - $130K/yr

Full-time

Re-posted 4 days ago


Job description

Job Description Senior Data Engineer (Snowflake) | Enterprise Data & Cloud Integration Are you passionate about building modern, scalable data platforms that power enterprise decision-making. We're partnering with a well-established financial services organization to hire an experienced Senior Data Engineer who thrives in designing cloud-based data solutions and enjoys solving complex integration challenges. This is an opportunity to play a key role in transforming enterprise data architecture while working with modern cloud technologies in a collaborative, forward-thinking environment.

What You'll Be Doing As a Senior Data Engineer, you'll design, build, and optimize enterprise data solutions that enable secure, reliable, and high-performing data across the organization. You'll partner closely with architects, developers, and business stakeholders to create scalable pipelines and integrations that support critical business initiatives. Key responsibilities include: Design and develop scalable data pipelines and ELT/ETL solutions using Snowflake.

Build and maintain data transformations using dbt, Azure Data Factory (ADF), Azure Data Lake (ADL), or similar technologies. Integrate enterprise systems using technologies such as REST APIs, Kafka, MuleSoft, and cloud-based data platforms. Translate business and technical requirements into scalable data models and engineering solutions.

Implement best practices around data quality, governance, security, and performance. Monitor and optimize data pipelines for reliability, scalability, and cost efficiency. Research and recommend emerging technologies that improve enterprise data capabilities.

Collaborate with cross-functional teams to deliver high-impact data solutions. What We're Looking For We're seeking a hands-on engineer who enjoys building modern cloud data platforms while also thinking strategically about architecture and long-term scalability. Qualifications include: 8+ years of experience in software or data engineering.

Strong expertise with Snowflake, SQL, and dbt. Experience building enterprise data pipelines and ELT/ETL solutions. Experience with Azure technologies such as ADF and Azure Data Lake, or comparable cloud platforms.

Experience integrating enterprise systems through APIs, Kafka, MuleSoft, or similar technologies. Strong understanding of data modeling, data governance, and performance optimization. Excellent communication and collaboration skills with both technical and business stakeholders.

Bachelor's degree in Computer Science, Information Systems, or a related field preferred. Preferred Qualifications Snowflake certifications. Experience within the Financial Services or Life Insurance industry.

Why This Opportunity. Work on large-scale enterprise data initiatives. Modern cloud technologies and architecture.

High-impact role with visibility across the organization. Collaborative team that values innovation and continuous improvement. Opportunity to influence technical direction while remaining hands-on.

If you're looking for your next opportunity to build scalable cloud data solutions and make a meaningful impact within a stable, technology-focused organization, we'd love to hear from you.