Data Engineer

Data Engineer

Location: Des Moines, IA (On-site 3 days/week) Experience Level: Mid-level (4–6 years)

Job Overview

Seeking a mid-level Data Engineer to support data engineering and analytics initiatives. This role focuses on building, optimizing, and maintaining data pipelines and data products that support analytics and data science use cases. The ideal candidate will have strong hands-on experience with AWS, Python, SQL, and modern data engineering tools.

Key Responsibilities

• Perform data engineering and analysis tasks to meet business requirements.
• Design, build, test, and integrate data pipelines for large-scale data processing.
• Create, load, transform, cleanse, and analyze structured and unstructured datasets.
• Work closely with data science and analytics teams to deliver actionable insights.
• Optimize data structures and models for analytics and data science consumption.
• Integrate and manage datasets from multiple internal and external sources.
• Develop incremental data products and support their operationalization.
• Maintain growing expertise in core components of the data platform while understanding related systems.
• Provide on-call support as needed and ensure data accuracy and confidentiality.

Required Skills & Experience

• Bachelor’s degree with 4–6 years of relevant experience OR a Master’s degree in a related field.

• Strong programming experience using Python and SQL.

• Hands-on experience with AWS services such as:

  • Athena
  • Glue
  • SageMaker (any one or more)

• Experience with Informatica for data integration.

• Proficiency with GitHub for version control.

• Experience with ERWIN data modeling and data modeling techniques.

• Experience building and operating systems for data ingestion, extraction, and processing of large datasets.

• Knowledge of business intelligence and reporting tools.

• Understanding of data structures, data optimization, and analytics-focused design.

• Ability to work collaboratively and communicate technical concepts clearly.

Preferred Qualifications

• Experience in financial services products and processes.

• Familiarity with data visualization and analytics platforms.

• Basic leadership and mentoring experience.

• Strong time management, problem-solving, and analytical skills.