Data Engineer

At INTRUST Bank, 10 character qualities are at the foundation of all we do. They include respect, positivity, compassion, humility, and initiative. They guide our interactions with customers and each other, are why we give back to communities, and inform how we shape our goals as a company. These character qualities are our tradition, and we bring them to life each day.

Your career is important to you, which makes it important to us. At INTRUST you’ll find a welcoming, encouraging atmosphere where your talents can thrive. You will be supported in your career, you can lead no matter what your title, and you can see a path for future growth. If you’d like to find a place of work where you’re appreciated, can find balance, and have a sense of belonging, then we encourage you to apply for this role.

A modern benefits approach:  To support our employees and their families, INTRUST offers a comprehensive, market-competitive benefits package that prioritizes your total well-being.

• Competitive pay
• Generous time off
  • Employees receive three weeks of paid vacation plus 11 paid holidays each year.
  • Paid time off to volunteer in the community.
  • Paid employee and family sick leave.
  • Paid parental leave.
• 401(k) plan with 6% employer match and 100% immediately vested.
  • 3% non-elective company contribution; non-elective contribution vested after 3 years of service.
• Career growth and development resources
• Tuition reimbursement for full-time and part-time employees enrolled in any degree program.
• Banking benefits
• Medical, dental, and vision insurance

Benefits eligibility is dependent upon hire date and employment status. Ask for our benefits guide for full details.

Job Summary: Data Engineers work closely with business users and the Data Analytics team to turn data into critical information and knowledge that can be used to make sound business decisions. Provides data that is accurate, congruent, reliable and is easy to access and use. Possesses, or develops, an in-depth understanding of the business environment, and has strong analytical and communication skills.  Responsible for the full life cycle development, implementation, production support, and performance tuning of all databases, tables, and views that are part of the reporting and analytics environment. Promotes an environment of teamwork within the department and across the bank. Represents INTRUST Bank in all they do in the community and is focused on the development of new business relationships. Must maintain strict standards of confidentiality and perform duties in a manner supporting INTRUST’s Character Qualities.

Essential Functions: All expectations described in the job description’s essential functions are necessary to be successful in this role, performed with or without a reasonable accommodation.

• Design and implement reporting and analytical solutions, including both the design of table structures and the processes used to populate those structures with data from internal and external sources.

• Collaborate with cross-functional teams to understand business requirements and translate them into functional technical specifications.

• Communicate and clarify technical requirements and specifications to all business partners.

• Develop and maintain data models, schemas, and data warehouses to support analytics and reporting needs.

• Apply strategies for data acquisition, data movement, data quality checks, and archiving in a consistent manner to ensure data integrity and reliability.

• Participate in code reviews and implement best practices for version control and documentation

• Efficiently evaluate, determine root cause, document, and resolve production issues in a timely manner.

• Ensure proper documentation is maintained and all members are cross-trained on critical tasks and functions.

• Design and create BusinessObjects semantic layer based on requirement analysis.

• Work collaboratively as a team.

Education and Experience: Bachelor’s degree in Computer Science, Data Science, Applied Mathematics, or related field required. 3+ years of experience in data engineering or related roles required. Strong proficiency in SQL and experience with relational databases and data warehousing. Experience with cloud platforms (Azure, AWS, or GCP). 3+ years of business intelligence tools experience (SSIS, MS SQL, SAP BusinessObjects, Tableau, MLOps tools) preferred. 

Required Skills and Knowledge: Demonstrated experience with SQL coding/querying skills in SQL Server. Strong analytical skills. Critical thinker. Strong in both written and verbal communication. Demonstrates high level of initiative both inde