Data Engineer

Work From Home; North Liberty (IA); On-site; USD 119,000 - 139,000; Full time

Job summary

GreenState's Data Engineer role focuses on designing, developing, and maintaining complex data solutions with an emphasis on Microsoft Azure pipelines. You will create robust data pipelines to support enterprise-wide data initiatives and enable strategic decisions across the organization.

Ideal candidates have 4–6 years in data engineering and BI, strong SQL/Python skills, and experience with Azure Data Factory, Power BI, and data modeling. Collaboration with stakeholders is key to success.

Qualifications

• Bachelor's Degree in Computer Science, Data Engineering, or related field.
• 4 to 6 years of experience in data engineering and business intelligence.
• Advanced proficiency in ETL using Azure cloud services, Power BI, Python, and SQL.
• Strong understanding of data modeling and warehouse design.
• Experience with cloud data architectures.
• Excellent analytical and problem-solving skills.
• Financial services industry experience preferred.

Responsibilities

• Develop and maintain data pipelines using Azure Data Factory and Power BI.
• Create advanced data models and ETL processes across enterprise systems.
• Implement data governance and quality control mechanisms.
• Design complex data transformations using Python, Spark, SQL, M, and DAX.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Support performance optimization of business units’ solutions.

Skills

ETL processes

Power BI

Python

SQL

Education

Bachelor's Degree in Computer Science/Data Engineering

Tools

Azure Data Factory

Job description

Overview

GreenState's Information Technology department adheres to the corporate values and acts as a business partner who understands the needs of the business, enables business units to meet strategic objectives through technology, and provides employees and members with quality technology platforms that are always available, always relevant, and always scalable.

The Data Engineer is responsible for designing, developing, and maintaining complex data solutions, with an emphasis on Microsoft Azure pipelines. This role will develop robust data pipelines to produce enterprise-wide data assets to support data initiatives.

INFORMATION TECHNOLOGY:

GreenState's Information Technology department adheres to the corporate values and acts as a business partner who understands the needs of the business, enables business units to meet strategic objectives through technology, and provides employees and members with quality technology platforms that are always available, always relevant, and always scalable.

GREENSTATE CULTURE:

At GreenState,ourpurpose is to create lasting value for our members, our communities, and one another. We empower our teams to create opportunities that strengthen financial well-being, transform lives, and enhance the vitality of the communities we serve. We know our success—now andin the future—isdeeplyrooted in fostering an engaging, diverse, and inclusive workplace where everyone knows they matter, their work makes an impact, and their everyday commitment tolivingour values is what brings our mission to life.

Salary range for this position is $119,078.70 - $139,216.74 with a progressive benefit package.

Responsibilities

Performs essential duties and responsibilities in the following areas which may include but are not limited to those listed and are subject to change.

1. Adheres to the Credit Union's core values and Service Standards in conducting GreenState's mission and vision.
2. Demonstrates a positive member service (internal and external) focus at all times.
3. Demonstrates teamwork in all interactions with coworkers and in the completion of all duties and responsibilities.
4. Ensures confidentiality of member information.
5. Supports a diverse and inclusive work environment.
6. Develops comprehensive data pipelines using Azure Data Factory, Power BI and other tools
7. Creates advanced data models and ETL processes across multiple enterprise systems
8. Implements data governance and quality control mechanisms
9. Designs and maintains complex data transformations using languages such as Python, Spark, SQL, M, DAX and more
10. Develops, maintains and optimizes data solutions
11. Collaborates with business stakeholders to translate complex business requirements into technical solutions
12. Performs advanced data cleansing and preparation techniques
13. Supports performance optimization of business units’ solutions
14. Strong attention to detail
15. Ability to take initiative and solve problems independently
16. Maintains excellent communication with the Credit Union team and the rest of the organization.
17. Plays a vital role in enriching the community by participating in community service organizations and/or credit union sponsored events, on an annual basis.
18. Performs other duties as assigned.

Qualifications

1. Bachelor's Degree in Computer Science, Data Engineering, or related field
2. 4 to 6 years of experience in data engineering and business intelligence
3. Advanced proficiency in:
   • ETL processes, specifically in Azure cloud services
   • Power BI
   • Python
   • SQL
4. Strong understanding of data modeling and warehouse design
5. Experience with cloud data architectures
6. Excellent analytical and problem-solving skills
7. Financial services industry experience preferred

Equal employment opportunity, including veterans and individuals with disabilities.