Senior Data Engineer

GreatAmerica • Cedar Rapids, IA

1d • Hybrid

About The Position

GreatAmerica is an entrepreneurial company providing equipment financing to businesses across the United States. The Senior Data Engineer will join the Enterprise Technology Group and work with large volumes of data in complex technical contexts. The role calls for expertise in modern data architectures, data modeling, ETL design, and business intelligence, with a focus on partnering with the business to identify opportunities where better data infrastructure can create business impact. The position requires strong technical expertise in large-scale data warehouse and BI systems.

Requirements

• Bachelor’s degree in computer science, information systems, or equivalent experience.
• At least 7 years of hands-on experience with data warehousing design and implementation.
• At least 7 years of hands-on experience supporting high-performing ETL processes, including data quality and testing processes.
• At least 7 years of strong SQL experience and the ability to write efficient code for high-volume data processing.
• At least 3 years of programming experience with an advanced language such as C#, Python, or Java.
• Experience integrating data from third-party systems.
• Experience ensuring data quality across multiple datasets used for analytical purposes.
• Experience with agile development methodologies.
• Excellent oral and written communication and interpersonal skills, with a strong customer-service orientation.
• Enthusiastic attention to detail.
• Knowledge of statistical concepts and their application in reporting and data mart applications.
• Ability to acquire new skills quickly and thrive in a collaborative team environment.
• Ability to establish and maintain professional working relationships with all levels of GreatAmerica personnel and external contacts.
• Applicants must be authorized to work for any employer in the United States; employment visa sponsorship is unavailable.

Nice To Haves

• Experience with a cloud-based warehouse such as Snowflake or Azure Synapse Analytics.
• Experience with Informatica.
• Exposure to and experience with a diverse set of modern data architectures.

Responsibilities

• Work with the product owner and data stakeholders to understand business requirements and implement optimal data solutions.
• Develop and operate data pipelines that cleanse, structure, and integrate data from source systems and third-party data structures into accurate, scalable, high-performance formats for analysis and reporting.
• Design and implement frameworks to continuously monitor and troubleshoot data quality and data integrity issues.
• Guide the development of reliable, efficient, scalable, and high-quality data pipelines with monitoring and alert mechanisms, combining sources using ETL/ELT tools or scripting languages.
• Use modern tools, techniques, and architectures to automate common data preparation and integration tasks, minimizing manual and error-prone processes and improving productivity.
• Assist in renovating data management infrastructure to drive automation in data integration and management.
• Collaborate with information technology resources on source-system data structures and changes to ensure consistent business definitions and data quality.
• Actively collaborate in an agile team.
• Provide technical guidance and thought leadership.

Benefits

• Competitive compensation.
• Monthly bonuses for eligible employees.
• 401(k) and company match.
• Annual profit sharing.
• Paid time off, including paid vacation, paid sick days, and paid holidays.
• Gym reimbursement.
• Health, dental, and vision insurance.
• Short-term and long-term disability coverage.
• Company-paid life insurance.
• Flexible spending accounts and health savings accounts.
• Employee assistance program.
• Parental leave.
• Tuition assistance.
• Networking opportunities.
• Leadership development opportunities.
• Paid parking.
• Service awards.
• Hybrid work arrangements.
• Business casual environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior