Senior Data Engineer - Hybrid Data & Analytics Leader

GreatAmerica Bank National Association; Cedar Rapids (IA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health Insurance

401(k) and Company Match

Paid Time Off

Monthly Bonuses

Gym Reimbursement

Hybrid work arrangements

Job summary

GreatAmerica Bank National Association is seeking a Senior Data Engineer to join our Enterprise Technology Group. The role focuses on large-scale data warehouses, ETL design, and BI tooling to drive business insights across the organization.

You will partner with business users to define data strategies, develop scalable data pipelines, and ensure high data quality for analytics and reporting. The position emphasizes collaboration, innovation, and driving automation within a hybrid work

Qualifications

• Bachelor’s degree in computer science, information systems or equivalent experience.
• 7+ years experience designing and implementing data warehousing solutions.
• Experience with cloud-based data warehouses is a plus.
• Strong SQL and data integration skills across multiple data sources.
• Experience with ETL/ELT and data quality processes.

Responsibilities

• Collaborate with product owners to understand business requirements and design data solutions.
• Develop and operate data pipelines to cleanse, structure, and integrate data from source systems.
• Monitor data quality and integrity; troubleshoot issues.
• Build scalable, reliable data pipelines with monitoring and alerting.
• Provide technical guidance and contribute to agile team efforts.

Skills

Data warehousing

ETL design

SQL

Python

Cloud data platforms

Data quality

Agile

Data integration

Education

Bachelor’s degree in computer science or related field

Tools

Snowflake

Azure Synapse Analytics

Informatica

Job description

GreatAmerica Bank National Association is seeking a Senior Data Engineer to join our Enterprise Technology Group. The role focuses on large-scale data warehouses, ETL design, and BI tooling to drive business insights across the organization.

You will partner with business users to define data strategies, develop scalable data pipelines, and ensure high data quality for analytics and reporting. The position emphasizes collaboration, innovation, and driving automation within a hybrid work