Senior Data Engineer

Position Summary:

The Senior Data Engineer will be responsible for designing, building, testing, and supporting the Enterprise Data Warehouse data cloud. This role requires extensive hands-on data warehouse development experience including but not limited to: Extract, Transform, Load/Extract, Load, Transform (ETL/ELT), and data modeling.

Status: Full-time
Role Location: Omaha, NE - Corporate Office*

*This position is open to remote candidates within the continental U.S., located within the Mountain, Central, and Eastern Time Zones

Responsibilities:

• Data Warehouse Development: Translate business requirements into technical procedures and structures. Build data pipelines through Webhooks or APIs to integrate data from disparate source systems. Use APIs to retrieve, integrate, and cleanse data for use in analytical systems and platforms. Build data shares for external partners.
• Data Management & Governance: Design and build procedures to ensure data accuracy and accessibility. Maintain code repositories using Git.
• Technical Leadership & Problem Solving: Lead solution development for data pipelines and its processing within data lakes/warehouses/lakehouses. Perform data profiling on source data systems and model it for use downstream. Perform code reviews, troubleshoot problems independently and/or collaboratively. Dive into complex data acquisition, processing, and modeling requirements.
• Documentation & Communication: Build and maintain effective documentation for data pipeline and ETL systems. Effectively communicate design problems and solutions with the Data Management team and business users.
• Other Duties: Perform additional tasks, duties, and responsibilities as needed or assigned by leadership to support departmental and organizational objectives.

Qualifications:

• High school diploma or equivalent (e.g., GED) required
• Bachelor’s degree in information technology, computer science, or a related field OR equivalent combination of education and experience combined (one year of experience equals one year of education) required
• Three years experience building ETL systems and data pipelines in a data warehouse environment required
• Five years of Structured Query Language (SQL) experience required
• Understanding of how to leverage data platforms to efficiently and cost-effectively collect, store, and use data required
• Collaborative, team-first mentality with the ability to effectively communicate with both business and technical users, and team members required
• Effective written and verbal communication skills required
• Five years of Python or other scripting language preferred
• Three years of Data Warehouse experience preferred
• Matillion or other cloud ETL platform experience preferred
• Snowflake or Databricks experience preferred
• Salesforce API and data pipeline experience preferred
• Experience working in an Agile/Scrum Project Development environment preferred

Benefits Include:

• Medical, dental, vision, disability and life insurance within 30 days
• Unlimited PTO - work with your manager and take time as needed
• 6 Paid holidays
• $50 cellphone stipend paid out monthly
• 401k retirement plan with vested 4% employer match after 90 days
• Career advancement opportunities + Culture/environment
• Employees and their spouse or legal partner receive free laser hair removal services

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Other duties may be assigned.

We are deeply committed to attracting talented team members in the US from all backgrounds regardless of race, age, gender, ethnicity, religion, sexual orientation, disability status, or nationality. However, at this time, we are not sponsoring any Visas.

Equal Opportunity Employer