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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (AWS & Python) - **Company:** ValueBase Consulting - **Location:** Des Moines, IA, United States - **Experience:** Expert - **Salary:** $104,000.0 - **Contract:** Temporary contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Big Data, Cloud Computing, Computer Programming, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Database Queries, DevOps, Distributed Computing Environment, Revision Control Systems, Identity and Access Management, Python (Programming Language), Unstructured Data, Workflow Management Systems, Data Processing, Cloud Platform System, Data Ingestion, Snowflake, Apache Spark, Database Performance, AWS Lambda, Git, Amazon Relational Database Service, Data Lakes, Pyspark, Information Technology, AWS Glue, Data Management, Cloudwatch, Software Version Control, Data Pipelines, Amazon Elastic Mapreduce (EMR), Amazon Redshift, Databricks - **Published:** June 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=204e1619685f0b7c ## About the Role Do you have experience in Version control?, * 5+ years of experience in Data Engineering. * Strong programming experience with Python. * Hands-on experience with AWS services, including: + AWS S3 + AWS Glue + AWS Lambda + AWS Redshift + AWS EMR + AWS Athena + AWS RDS + AWS CloudWatch + IAM * Experience building ETL/ELT pipelines and data integration solutions. * Strong SQL skills and experience with relational databases. * Experience working with large-scale datasets and distributed processing frameworks. * Knowledge of data modeling, data warehousing, and data lake architectures. * Experience with version control tools such as Git. * Familiarity with Agile/Scrum development methodologies. * Strong analytical, problem-solving, and communication skills., * Experience with Apache Spark and PySpark. * Knowledge of Airflow or other workflow orchestration tools. * Experience with CI/CD pipelines and DevOps practices. * AWS Certifications (Preferred). * Experience with Snowflake, Databricks, or modern cloud analytics platforms. * Experience working in enterprise-scale environments., * Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. * Equivalent work experience will also be considered. ## Description We are seeking an experienced Data Engineer with strong expertise in AWS Cloud Services and Python development to join a long-term project in Des Moines, IA. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, data integration solutions, and cloud-based data platforms. This role requires hands-on experience with modern data engineering practices, cloud technologies, and large-scale data processing., * Design, develop, and maintain scalable ETL/ELT pipelines using Python and AWS services. * Build and optimize data ingestion, transformation, and processing frameworks for structured and unstructured data. * Develop and manage data workflows using AWS cloud technologies. * Create and maintain data lakes and data warehouses to support analytics and reporting needs. * Collaborate with business stakeholders, data analysts, and application teams to understand data requirements. * Implement data quality, validation, and monitoring processes to ensure data accuracy and reliability. * Optimize database performance, query execution, and cloud resource utilization. * Develop automation scripts and reusable components for data processing and deployment. * Support data governance, security, and compliance initiatives. * Troubleshoot production issues and provide ongoing support for data platforms. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)